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If you have ever used ChatGPT to find answers to your text queries or DALL-E to generate images, you are already familiar with generative AI. In a nutshell, this type of artificial intelligence is capable of creating unique text, images, and other media as a response to a user query, using training datasets. Despite the advancement of such solutions, they are not without their drawbacks. In particular, one of the key problems with using such solutions is, unsurprisingly, the privacy of user data, which we will actually discuss below.

What Are Some Challenges of Generative AI

So, what are the challenges of generative AI? Let's find out right now.

• Ethics of generative AI models. The ethics of models used by generative artificial intelligence means, first of all, the absence of bias in their responses, as well as ensuring their objectivity and transparency. In practice, providing the first two properties can be difficult – mainly because a service provider developing an AI model usually has limited data samples. As for transparency, it also indirectly depends on the size of the data samples – the more limited and narrowly specialized they are, the greater the risk that the generated solution to the user problem will not consider generally accepted provisions and axioms.
• Using someone else's intellectual property. Generative AI always uses some sample of data for training. This data, in turn, may be protected by copyright – therefore, there may be a difficulty in transferring ownership of the generated content. Actually, this highlights a larger issue that questions the integrity of the use of AI, especially for commercial purposes. If we add to this the blurring of the geographical boundaries of laws related to the generative AI applications, it becomes clear that the solution to this problem must be taken at the international level.
• Potential harm from generated responses. Some organizations in the healthcare, financial, legal, and other sectors, using generative AI, expose their consumers to certain risks – the fact is that the answers it produces may contain potentially dangerous recommendations. Moreover, due to the possible differences in the context of user queries, identifying those answers that can cause harm to users can be quite difficult. That is why, along with the careful development of generative AI models, it is also important for these organizations to pay attention to the implementation of other mechanisms that would set delimitations for the generated answers.
• Compliance with generally accepted user data privacy policies. Finally, if you plan to gradually expand the geographic reach of your AI solution, you will need to ensure that it meets the user data security and privacy standards in the region where the specific user is located. Specifically, these may include the EU General Data Protection Regulation (GDPR), the EU Artificial Intelligence Act (EU AI Act), the California Consumer Privacy Act (CCPA), and so on. But that’s not all: currently, due to the popularization of AI in various fields, a lot of new legislative provisions are being developed, such as the UK’s AI and Data Protection Risk Toolkit, the NIST AI Risk Management Framework, China’s Generative AI Measures, India’s Ethical Guidelines for AI in Healthcare and Biomedical Research, and so on. That’s why long-term fixing user privacy issues in generative AI solutions may be quite challenging.

Solutions for Data Security in Generative AI

In this section, we propose to understand how you can overcome the above-described obstacles in AI data security or, at least, mitigate the consequences of encountering them.

• Creating ethical AI solutions. Data for training models is collected from people who may introduce their own biases. Moreover, AI itself can create biases according to its own algorithms for interpreting the data used for training. Thus, to ensure the transparency of the answers produced by a solution based on generative AI, it is important to additionally implement algorithms for comparing this data with third-party reliable sources of information. 
• Introduction of comprehensive data security AI mechanisms. Any data considered to be someone else's intellectual property and used by generative AI for learning may cause harm or loss to its owners who provide it. To prevent this, you should take care in advance of non-disclosure of your users' information and, as an option, provide them with clear and understandable notifications about for what purpose, by whom, and how their data may be used by your software in the future.
• Eliminating harm from generated responses. To ensure that the responses made by your AI-powered solution are safe for end users, you need to pre-define the rules and parameters that the AI ​​must follow when generating them, as well as implement checking and verification mechanisms to make the generated content safe. And, of course, do not forget to introduce an AI and data security system for monitoring your solution’s operation, which would allow you to fix situations with potentially harmful responses – this will give you a direction for further optimizing your training model. 
• Compliance with AI regulations. The first thing to start with is to ensure reliable user data access control and compliance with the most strict encryption and privacy standards. However, due to the constant discovery of new vulnerabilities even in the most reliable generative AI security mechanisms, you will need to conduct regular checks and audits of the operation of your AI driver solution. Finally, you will need to train the team working on your project on generally accepted rules for using AI and data for its training.

Conclusion

Now, being aware of the most common generative AI security risks, you can start working on your project, keeping it with all necessary policies and standards in time. Also, if you are looking for a service provider to delegate secure AI development without unnecessary doubts, feel free to contact us.

If you have an idea for implementing a digital solution, but its business model is not yet clear, you may need a lot of resources to find the right one. But how can you test the effectiveness of this idea in practice when each of the potential target audience’s representatives may perceive it differently? The answer is simple: you should consider minimum viable product or MVP development for startups. Below, we will explain its peculiarity and analyze the advantages of this approach.

What Is an MVP for a Startup?

An MVP for startups is a software solution with a basic set of functions and a simplified visual that clearly demonstrates its unique selling proposition (USP) and does not have any additional features (that is, if you remove something from its functionality, it will lose this USP).

The Importance of MVP Development for Startups

The main purpose of MVP development for startup is simple: since early-stage startups do not have clear, verified business models, it is important to make sure that they will be accepted by their target audiences. Otherwise, their owners risk losing a lot of financial and time resources on something that “does not work” for the end consumers. So, to avoid this, it is better to implement such projects gradually, optimizing and expanding them, taking into account feedback obtained from real users.

MVP Development Process

Here are the main stages of the MVP development startups process:

• Defining the problem or goal of the target audience that you are going to help them solve/achieve with your product;
• Conducting market demand analysis, which consists of a detailed study of the target audience, market trends, similar software solutions, etc.;
• Rapid prototyping of the future solution and defining its key features that form the USP;
• Agile development of an MVP;
• Collecting feedback from real users;
• Continuous product iteration after the MVP launch aimed at tailoring the product to the needs of its target audience.

Top 9 Benefits of Building an MVP for Startups

In this paragraph, we would like to introduce MVP benefits that are valuable for each startup owner.

Cost Efficiency

Creating a minimum valuable solution is, first of all, much cheaper than in the case of a full-fledged one. This means that the initial budget for your project will be moderate, and you will not have to sacrifice anything important – for example, the budget for marketing, the salaries of your full-time specialists, and so on.

Faster Time to Market

No matter how unique your idea is, there is always a risk that someone will follow your example before you. In turn, the implementation of the MVP will allow you to reduce the time-to-market and, thus, gain an additional competitive advantage.

Market Validation

A quick launch of the MVP will help you validate it in real market conditions as fast as possible. In the future, you will be able to optimize it based on real feedback from its users and then improve it with each iteration and make it more and more valuable to them.

Risk Mitigation

Getting a working solution up and running quickly will help you identify its hidden issues early on, all thanks to the fact that it will be accessible to users from all over the world. In fact, no other type of testing, no matter how many resources are involved, can provide the same thoroughness in identifying errors and inconsistencies.

Investor Attraction

By launching a “raw” but functioning product to market early, it will be available to potential investors, too. Agree that this approach to demonstrating your idea looks much more viable and capable of achieving your goals than presenting a business plan only.

Customer-Centric Development

Generally speaking, creating a minimum viable solution is one of the key startup success factors since its entire development cycle is tailored to “please” its target audience. Indeed, since user feedback has to be taken into account long before the solution is released (first, it is tested by the project team and then – by representatives of focus groups), it turns out to be truly focused on the needs of the end users.

Enhanced Learning

MVP in startups helps to conduct an end-to-end assessment of market needs and make decisions based on the data obtained. This way, you can use the obtained insights in the further evolution of your product, turning it into a full-fledged software solution step by step.

Flexibility and Scalability

MVP development for tech startup involves creating an initially scalable, flexible foundation that is easy to modify and to which you can quickly add new/remove unnecessary functionality without much risk (primarily, associated with the appearance of hard-to-fix bugs).

Building a User Base

Finally, when you launch a full-fledged solution, it will already have some audience interested in using it. Thus, you will be able to reduce your budget for early adopter engagement and, in particular, the time and money needed to research and create a portrait of a potential client.

Conclusion

Now, knowing all the advantages and goals of startup MVP development, you can understand whether this option is right for you. In particular, if you are inclined in its favor, you can contact us, a service provider with many years of experience creating MVP solutions for startups in different industries. We will accompany you throughout the entire lifecycle of your project – from the ideation stage to the release and support of its full-fledged version.

If you are looking for a suitable platform to implement your mobile solution in the most cost-efficient way and, thus, make it cross-platform, it can be a rather challenging task given the variety of different frameworks, libraries, and SDKs.

For example, according to Statista, Flutter and React Native (RN) were the world's two most popular frameworks for cross-platform development by the end of 2023. However, they cannot be called universal, and each is better suited to solving specific problems. Below, we will cover the difference between them in more detail and also conduct a comparative analysis of these two solutions.

What Is Flutter?

Flutter is an open-source framework from Google that first saw the light of day in 2018. It is designed for both front-end and full-stack development of cross-platform solutions with a single code base for iOS, Android, Web, Windows, MacOS, and Linux. Flutter uses the open-source Dart language, which is also a brainchild of Google. Now, it has 162k stars on GitHub.

One of the most significant benefits of Flutter is the ability to accelerate time-to-market: this is ensured by hot reload (which provides the ability to change the program code and check the results in real time), the built-in increased performance provided by direct compilation to native code, as well as the presence of a C++ engine for rendering elements and optimization. In general, according to the unspoken opinion of developers, about 95% of all development tasks can be covered by Flutter libraries and tools.

Benefits of Flutter

Flutter popularity is absolutely justified – it is loved by developers around the world for the following advantages:

• Native-like performance. Due to the use of the Dart programming language, which is immediately compiled into machine code, applications created with this framework are unlikely to be inferior in performance to native analogs.
• Uniformity of visual components. Flutter does not use platform-dependent visualization tools – instead, this framework refers to the Google Skia graphics library, which allows developers to provide a uniform look for UI components regardless of the platform.
• Low entry threshold and a wide variety of available tools and libraries. Flutter is considered an easy-to-learn framework, and such built-in features as hot reloading, widget inspector, and a rich arsenal of tools for solving graphic problems (now, this framework already has graphics rendering at 120 fps) make the process of working on the frontend even more enjoyable and fast.

What Is React Native?

React Native is a cross-platform JavaScript-based framework created by the Facebook team in 2015 and introduced to the public as a solution for reusing the same code. Today, this platform can boast 116k stars on GitHub and the fact that it is at the heart of such world-famous services as Instagram, Facebook, and Skype. 

An interesting feature of this framework is its basis on the Flux architecture, which is based on unidirectional flows. This approach allows data to be passed from one parent component to its child components, making it easier for developers to manage data flows in the application. Also, like in Flutter, there is the Hot Reload feature that simplifies the testing and debugging processes, as well as a rich set of built-in components to boost the development speed of high-performance and visually attractive mobile solutions.

Benefits of React Native

The main benefits of React Native are:

• Ability to reuse code by up to 90% and reduced time to market. The reusability of code written in this framework can be up to 90%. In addition, the created assembly, for example, for Android, will require only minimal configurations in order to function properly on iOS. All these features of this framework speed up the launch of projects.
• Fast update in app stores. Thanks to the CodePush function, applications can be updated within the repeated deployment process without an intermediate step involving uploading updates to the app store. In particular, when the update is ready, its version that has already been presented on the store uploads it itself, without the need for re-communication with Google Play or the App Store.
• A wide variety of libraries and access to native components. While it provides access to native platform components, there are also internal libraries with well-developed documentation and, in some cases, even entire application templates, including Native Base, React Native Elements, and React Native Starter Kit.

Key Differences Between Flutter and React Native

Now it's time to start a more detailed comparison of React vs Flutter.

Entry threshold

Even though both mobile app frameworks are considered to be quite easy to learn, Flutter, due to its abundance of internal development tools, practically eliminates the need for developers to use third-party tools and libraries (unlike RN). This means that its entry threshold can formally be considered lower.

Performance

As for React Native vs Flutter performance, the second one has a lot of widgets based on its own high-performance rendering engine, which makes it suitable for developing applications with complex graphics. At the same time, despite the claims of RN creators, this solution can impose certain problems with the speed of work of resource-intensive projects.

Time ​​to market

In our Flutter vs React Native comparison, RN gives Flutter a head start when it comes to developing applications with different designs for each of the platforms since the latter is aimed at building uniform interfaces.

Specifics for creating user interfaces

While Flutter offers developers a variety of ready-to-use widgets based on the Material (Android) and Cupertino (iOS) designs, React Native refers to the native components of the platforms.

Full list of supported platforms

Flutter supports development for Android, iOS, Windows, macOS, Linux, Google Fuchsia, Web, Tizen for Samsung Smart TV, LG webOS, as well as for embedded devices. As for RN, this framework is compatible with Android, iOS, Windows, MacOS, as well as Android and iOS TV platforms.

Conclusion

We hope that we have answered the essential question: “Flutter or React Native?” and it will be easier for you to choose the best of these two options. At the same time, we would like to note that the future of Flutter is uncertain, as Google has suspended its active development and significantly reduced its team. Therefore, we will keep our finger on the pulse and inform you about all upcoming changes.

Anyway, whichever framework you settled on, an equally important aspect will be the choice of an experienced team of developers. In particular, you can contact us for a consultation and also to find out the cost of development of your project.

No matter how ambitious your goals are when you first think of creating a custom software solution, strict budget and deadline constraints can easily dash them. So, what should you do in this case?

Specifically, before your tech team starts implementing a healthtech solution, you can choose two different paths for them: native and cross-platform mobile app development. In the vast majority of cases, in this area, the second option can cover all the needs and requirements for the project without harming its critical aspects, such as usability, performance, reliability, etc. At the same time, you will be able to launch your product on the market faster and save your financial resources. 

However, such a development process is somewhat different from the one that precedes the launch of several native applications. Below, we'll cover how these differences can impact critical aspects of your project and share insights that help you fix them.

Best Practices for Cross-Platform Development in Healthcare

Since cross-platform app development involves adapting a healthcare solution to multiple platforms at once, it is important for the team to adhere to the following best practices to ensure the proper quality of the resulting solution.

Compliance and Security

The first thing you should probably start the development process for the healthcare industry is to ensure compliance with generally accepted standards and policies. The most common among them are HIPAA (Health Insurance Portability and Accountability Act) and GDPR (EU regulation aimed at giving citizens control over their personal data). Along with that, software engineers must use standard security mechanisms such as encryption, integration of secure connection certificates, etc. Ultimately, it is better to check the requirements for medical software development according to the legislation in force in a particular region – this way, you will not face any fines and bans.

User Experience (UX) Design

Now, let's talk about user experience in health apps – it should be smooth regardless of the platform they are running on. Since many healthcare mobile applications are positioned as an alternative to offline services from legally operating medical institutions, they must comply with accessibility rules that are described in detail in WCAG 2.0. These guidelines allow developers to implement seamless interaction with medtech solutions for people with all kinds of disabilities. Depending on the type of medical tasks assigned, you will need to ensure that your healthcare app UI/UX design meets WCAG 2.0 requirements to the appropriate level.

Performance Optimization

Nowadays, high performance is considered one of the key aspects ensuring the app’s survival in the market; however, in the healthcare sector, this parameter is much more critical since someone's life may depend on it. Indeed, if your digital solution involves an urgent call to a doctor, lags in its functioning may end tragically for some of the users. At the same time, it is believed that native applications work faster than those created in the process of cross-platform or hybrid app development. This is not true – such modern development tools as React Native, Flutter, Ionic, and many others allow teams to build software with complex business logic without reducing its speed. Of course, these frameworks will not handle resource-intensive gaming applications, but, most likely, this is not the original task. Whatever approach and technology stack you choose, your team involved in software development for healthcare will need to spend some time testing the application before launching and ensuring that it works equally effectively on all platforms.

Testing and Quality Assurance

Yes, we have already outlined the importance of this process above, but we will repeat it once again: no application can be launched for public access before it has passed a series of tests, both with the participation of the team itself and involving focus groups assembled from representatives of the target audience of your software. The most common types of testing are modular, integration, functional, acceptance, system, smoke, and so on. Each of these types takes place at a certain stage of development (and has to be performed on each platform separately), but the amount of code covered by test cases and the number of iterations will directly depend on the established deadlines. 

Integration

Finally, it is worth saying a few words about integrating your app with existing third-party products and services that your organization already uses. This is usually necessary to expand the functionality of the former and, in particular, to ensure seamless data transfer between applications. However, while the vast majority of modern custom healthcare solutions integrate via API, it is quite predictable that your team will face some issues if you use legacy software. For this, an additional middleware will have to be developed – it will take responsibility for converting data to the required format and back.

Conclusion

In general, as you may know, cross-platform development is cheaper than native development, because most of the code is reused between platforms, and you do not need to hire two separate teams to create native software for each of them (in particular iOS and Android). Moreover, with the right approach, frameworks such as Ionic allow you to build both mobile cross-platform and web applications, reusing most of the code, which, in turn, speeds up and reduces the cost of development for mobile and web platforms, respectively.

So, now, knowing the specifics of developing solutions using cross-platform app development tools, you will be better informed about how to ensure their proper quality and control each stage of their creation. However, if you would like to outsource this complex task without unnecessary doubts so as not to spend too much time on supervising, feel free to contact us.

The modern financial world dictates its own rules. By including the critical success factors in this area, one can distinguish effective management of relations with the client. Reliable CRM solutions guarantee this goal because they contribute to optimizing many processes, thereby increasing productivity and taking customer interaction to a new level. In this article, we would like to share with you the best CRM systems that have been created, taking into account the characteristics and needs of modern financial companies.

What Is CRM for Financial Services?

CRM for financial services is software designed to manage customer contacts and improve comprehensive business performance. The main goals of financial CRM software are to automate processes, provide detailed analysis of client data to understand customer requirements better, reduce financial costs, and increase the effectiveness of strategic planning. Thus, all of the above in the complex helps to boost profits and strengthen the company's and brand's positions in the market.

How to Choose a CRM for Financial Services

Let's not argue that choosing CRM software for banking industry is difficult. However, we are ready to help you with this task by providing detailed tips.

First, you should clearly define the specific goals and the needs you intend to achieve/satisfy using CRM in financial services. Do you need only a system to manage customer relationships, optimize marketing campaigns, or increase sales? Or do you want it all together? Once you decide on your own goals, you can automatically narrow down the range of potential options. 

Regarding security, you have to be sure that the CRM system fully complies with modern data protection standards and is designed considering all reliable encryption mechanisms. This not only reduces the risk of data duplication but also maximizes the efficiency of your work processes.

It is also worth checking the CRM provider's support and training. Reliable support and the opportunity to receive professional training guarantee rapid business growth without downtimes and human-made errors. That’s why you should research reviews about your chosen service provider to see how comprehensive their support is.

In the end, the cost of the CRM system should not be devalued. Conduct a comparative analysis of various CRM systems, taking into account both initial costs and, accordingly, future costs, including further maintenance and updating.

Therefore, the main recommendation is to choose a system that offers the best balance between its cost and the quality of possible results for your company in finance.

Top 5 CRM solutions for Financial Services Businesses

It's time to share the top-5 CRM solutions for financial services known for their versatility, reliability, and power to manage customer relationships. However, note that each CRM for fintech from our list has its own features, which you should pay attention to while choosing the best option for your business.

Salesforce CRM

Salesforce is one of the leading CRM solutions, and its development team is confident in bringing its expertise to the financial services industry. This system includes tools that have been designed to meet the needs of many private equity firms, as well as the needs of companies working in related fields (banking, mortgage insurance). Within its core is a vast database to better understand customers' needs, habits, and behavior patterns. Other distinctive feature of this software solution is the ability to create custom modules adapted to the individual tasks and goals of a specific business (however, it is important to understand that the cost of deploying and supporting such a customized system will increase significantly). Moreover, it is equipped with AI-based analytics, helping consultants obtain even more valuable customer insights in no time. Among its other benefits are the ability to consolidate disparate data and optimize lead management, as well as almost unlimited scalability and flexibility.

Its disadvantages include that its work fully depends on the stability of the Internet connection and that its price may be too high for growing businesses. In addition, this CRM has a lot of modules, and the initial setup of the system often requires the participation of a narrow-focused specialist.

Envestnet Tamarac CRM

This fintech CRM focuses on helping independent financial advisers provide more personalized investment expertise to individual clients. Envestnet Tamarac CRM offers intelligent real-time reporting to help track customer progress toward their financial goals. The presence of optimized business adaptation processes for new customers is worth noting, as it allows you to quickly and easily create new accounts through Salesforce. This system is built entirely on the Microsoft Dynamics platform with a familiar Microsoft Outlook interface. Also, in the mobile version, consultants can enter the system «as a client», which enables them to see the dashboard exactly as their client would see it.

The cons of this solution include poor collaboration functionality because, as we mentioned above, it was designed initially for individual consultants.

Wealthbox CRM

This platform is flexible enough to be suitable for a wide range of users – from financial consultants to custodians and large firms combining the functions of broker and dealer. CRM data management, multi-channel client communication, and integration with social networking platforms like Twitter. With it, you can customize «under yourself» business processes or rely on business process templates using conditional logic to automate routine tasks. Also, it provides the ability to use Kanban dashboards to track potential financial transactions and keep abreast of how to work with potential clients. Wealthbox CRM is popular because of its low entry threshold.

However, along with all these benefits, this solution has several drawbacks, too. For instance, some users are dissatisfied with the poor householding functionality. In addition, Wealthbox may not be suitable for people who need to sync with Outlook calendar.

Zoho CRM

Zoho financial CRM software helps collect and organize all customer data, including basic CRM-related information, financial documents, financial policy information, and insurance records. This fintech CRM software offers tools for working with so-called «assets under management» to track all your transactions with financial institutions and other companies (here, we mean AUM tools where AUM is Assets Under Management). With built-in support modules (case modules), you can match your customers' needs with more financial data to provide efficient support. It is worth mentioning «Zia» – the Zoho assistant based on artificial intelligence, which adds a thoughtful layer of forecasts and suggestions for customers and helps you know when and how best to contact them.

At the same time, some Zoho users complain about limited customization features, poor reporting capabilities, and inconvenient dashboards.

NexJ CRM

NexJ is an intelligent financial services CRM with highly specialized modules for financial and banking consultants (specifically, they can use the private equity management module). This CRM system focuses on the specifics of the regional market with experience in more than 60 countries, and all this is thanks to the active use of artificial intelligence, machine learning, and data analytics. These technologies, properly implemented in this solution, allow consultants to concretize their financial recommendations. 

In general, NexJ looks and feels like a highly professional system, but some users note that they feel confused when they have to leave their requests on its pricing. 

Conclusion

The range of financial services available today requires the integration of automated software solutions that are practical, flexible, and more affordable than traditional consultants, whose services were only affordable for some.

CRM for financial services, private capital management, debt resolution, and pension planning are sophisticated tools that go beyond conventional databases. They are designed to foster trust and build long-term relationships with your clients. As all financial services are future-oriented, financial CRM systems help you provide brighter and more profitable prospects for your customers, your company, and, of course, your personal and professional success as a consultant. Thus, the financial CRM system allows you to achieve the best financial results for your customers and provide them with the best service.

In the design and operation of digital products, it is essential to detect errors and ensure that these products fully comply with specifications (both generally accepted and defined by their owners). For example, in the field of healthcare, using such solutions directly impacts the health and life of patients and the level of efficiency of medical services. So, let’s delve into this topic. 

Objective of Quality Assurance in Healthcare App Development

So, let’s find out why QA is important. In general, it is one of the integral parts of software development, especially in the medical field. After all, in the field of medical services, the fate of the patient's life and health is decided every day. Digital solution that looks and operates as intended (of course, thanks to the quality assurance benefits) provides the ability to prevent all potential errors as efficiently as possible and ensures that applications meet modern medical standards. 

Regarding the importance of quality assurance in healthcare applications, the following points can be distinguished:

• Safety of patients: At the heart of QA in healthcare software development is patient safety. The timely testing of healthcare applications that could impact a patient's health is a critical aspect. This includes verifying medicine dosage, ensuring the accuracy of diagnostic algorithms, and the functionality of the patient monitoring system. Any malfunction, even for a brief period, can lead to serious errors, underscoring the importance of reliability assurance.
• Data privacy: The guarantee of absolute protection of patients' personal data from unauthorized access. Due to their specificity, medical applications regularly process a huge amount of information, so the introduction of modern encryption methods is critical.
• Compliance with regulatory requirements: A number of modern healthtech standards like HIPAA and GDPR are created for a reason. Therefore, absolutely all software should be developed to meet these requirements. Civilized countries actively implement official app development rules. If these laws are ignored, it is undoubtedly a direct path to legal accountability, with all the attendant consequences. The implementation of reliable digital solutions reduces the chances of getting a fine or a lawsuit until the loss of a license.
• Optimization of regular processes: The higher the efficiency of the application, the better the performance and accuracy of work within the medical professional team. In this way, medical staff can access the necessary information, thus minimizing the time spent on data processing. This guarantees both speed and high accuracy of decision-making regarding the further treatment of patients.

Risks Associated with Poor Software Quality in Healthcare

No one will argue that some medical institutions ignore the risks of using legacy software that doesn’t meet the modern healthtech regulations. However, this is a very serious and critical topic that can significantly impact patients' safety and lives and the effectiveness of daily processes.

Numerous errors, incorrect diagnoses, and, as a result, incorrectly prescribed treatment all directly threaten the patient's life and health. Also, do not exclude the occurrence of legal and reputational problems (fines or a prominent indicator of loss of confidence on the part of the public, both patients and employees of a particular medical institution). Unreliable digital solutions automatically complicates the interaction between employees. It leads to a decrease in the productivity of daily medical practice because it complicates the possibility of uninterrupted access to all necessary data and the exchange of information between departments and specialists.

Types of Testing in Healthcare Applications Development

There are different types of healthcare application testing, but the most common and popular among them are the following types:

• Performance testing: It includes analyzing the application's speed of action and navigation, taking into account different levels of load.‍
• Regression testing: It defines how much each of the module functions meets the requirements.‍
• Security testing: It implies checking the protection of each patient's data from illegal access by unauthorized users.‍
• Usability testing: This example of quality assurance in healthcare is designed to evaluate how user-friendly the application is, ensuring it is convenient for both healthcare industry employees and patients of all ages.

Healthcare app testing features are primarily critical, including the need for strict compliance with regulatory requirements and safety regulations.

The Future of Quality Assurance in Healthcare

Now, knowing the answer to the question: “What is quality assurance in healthcare?”, let’s talk about its future. Specifically, today, we can define three the most sustainable trends:

• Implementation of AI and ML-based solutions aimed at automating the testing process, independently identifying bugs, and preventing them in advance;
• Combination of DevOps and Agile, which ensures closer interaction between development and testing teams, ultimately reducing the number of bugs and speeding up their fixing;
• Using cloud-based testing platforms that provide scalability of QA healthcare scenarios without compromising the budget.

However, in the coming years we can expect something more revolutionary than the actualization of the above-mentioned directions since the healthtech sector is actively invested in by both governments and private institutions.

Conclusion

Now, you know the answer to the question: “What is quality assurance?” and can understand the role of QA in software testing – generally speaking, it is crucial regarding ensuring patient safety and the performance of the healthcare delivery process. Minimizing risks during the medical quality assurance process and creating reliable medical applications are possible only through the use of modern technologies and compliance with all official standards provided by a qualified service provider.

Most likely, you would like to make your digital product highly competitive, get guarantees on its relevance, and avoid its costly rework even if its life cycle exceeds the unspoken five-year limit, right? Then, in today's changing tech environment, endowing it with long-distance growth prospects will be not just another strategy you may follow or not – it will be a necessity. 

What Is Future-Proofing?

No one would dispute that guaranteeing long-term stability adds confidence to the development process. Based on this, you may have a question: “What is the future-proofing?”. Now, we will explain the future-proofing meaning.

In short, it is the creation of several applications, websites, and services that retain their functionality even after a long time. For example, in the context of mobile application development, it predicts the occurrence of potential changes in the operating systems of gadgets so that these applications remain practical and relevant. By considering possible technological advancements, likely competitors, and requests from the target audience, the need for large-scale updating is minimized.

This process consists of analyzing a number of technological trends, considering potential risks, and integrating adaptive solutions to market trends. But do not close your eyes to some problems and challenges of future-proofing. There may not be a specific update date, and the implementation of flexible solutions may require both additional time and additional money. You should be sure that the tools and methods you use guarantee high quality and a high level of reliability of the product so that the process of its development is productive and relatively simple.

In addition, an equally important aspect of the above-mentioned approach is the study of potential changes that may occur in the needs and behaviors of the target audience of your product. This will make you ready to overcome obstacles. Let’s take a concrete example, if you integrate software with cloud services (using self-testing and scaling architecture).

The Benefits of Future-Proofing Software

It is worth considering the most striking advantages of this software to make sure it is appropriate:

• Flexibility in a dynamic technology environment: This helps to adapt existing products to new requirements.
• The real prospects for the future: The more long-term prospects are taken into account during the future-proof development of the digital solution, the longer it is guaranteed to be stable.
• Optimization of financial costs: If the potential upgrade of the review is done immediately at the development stage, it minimizes the possibility of costly disposal of the product itself.
• Superiority over competitors: Service providers that offer better protection of their decisions, respectively, are much more efficient and faster to respond to constant changes in the market and the needs of their target audience.

Future-Proofing Methods

You should also pay attention to the most popular ways to improve your digital products in the long term:

• Quality Assurance: Stable support of high-quality standards is a direct path to product reliability.
• Modularity: Modular architecture simplifies processes such as updating and modifying specific required components, minimizing any impact on the entire system.
• Documentation: Detailed documentation that is regularly updated to facilitate further support and streamlining.
• Implementation of modern standards: Strict adherence to the latest quality standards increases the adaptability of your products to innovative technologies several times.

7 Ways to Future-Proof Software

Let's dwell on the seven most essential methods for reliably protecting your software from upcoming challenges and guaranteeing its stable operation for many years.

Implementation of automated tests

Automated tests allow you to quickly detect and correct errors that occur when making changes to the code. This dramatically reduces the risk that new features or updates will break existing functionality. In addition, automated testing increases development efficiency, reducing the time for manual QA procedures.

Using containerization

Containers provide software flexibility and portability, making it easier to deploy across platforms. They isolate the application and all its dependencies, which avoids problems with environment compatibility. Containers also simplify application management in several environments at once.

Expanding of architecture

Planning the architecture for possible load increases makes it easy to scale the system. Using a microservice architecture, a design pattern that structures an application as a collection of small, loosely coupled services, for example, enables the scale of individual components independently, increasing the system's overall performance and reliability.

Integration with cloud services

Cloud solutions provide flexibility and the ability to adapt to new requirements quickly. They allow you to store and process data on remote servers, reducing infrastructure costs and achieving higher availability and service reliability.

Regular updates and patches

Constant software update allows you to maintain its relevance and reliability. Regularly fixing vulnerabilities and adding new features helps to avoid obsolescence and ensures it meets modern security standards.

Using open standards and APIs

Open standards are publicly available specifications that facilitate interoperability. APIs are sets of rules and protocols that allow different software applications to communicate with each other, be compatible with other systems, and simplify integration. These make it easy to connect new services and expand the existing functionality without significant changes in its architecture.

Investing in team training

Investing in team training and focusing on long-term planning is crucial to preparing to embrace new technologies and methodologies. This ongoing evolution of skills and knowledge not only enhances employees' current abilities but also prepares them to adapt to fluctuations in the tech market.

Conclusion

Future-proofing your software, through robust security measures such as encryption and regular vulnerability assessments provides you with long-term stability and high competitiveness. At the same time, you get a significant reduction in the cost of service and increased flexibility and speed of adaptation to a number of new requirements and conditions, which in the complex creates the conditions for the adaptability of the entire team. In this way, your software will always be efficient and reliable despite the changing technology environment.

It's crucial to note that the strategic approach to software protection and development is not just about the technology but also the people behind it. This approach stimulates the development team's performance, ensuring efficiency and effectiveness through process standardization and the introduction of the latest technologies. By empowering your team to implement new features and optimizations, this approach makes them feel valued and integral to the process, thereby increasing performance.

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Hey, are you here to find a solution for a consolidated and easy-to-access “home” for your business information, which is usually transferred from different places, often unrelated to each other? Then, you probably need to think about creating a digital space where it will be integrated, cleaned, structured, and stored accordingly, for further use in your regular business operations. But what is this space? Let’s find it out right now.

What Is Data Warehousing?

In a nutshell, it is a repository where your business data comes from disparate sources, where it is brought to the proper quality, and where it is stored, providing individuals with the appropriate rights with easy and fast access to it. Typically, such repositories serve as one of the central components in automated analytical solutions, but, as practice shows, the range of their application can be much wider.

Key Components of a Data Warehouse

In general, its main components are considered to be the following:

• Sources, from which structured and unstructured information comes – these can be third-party databases, tables, systems, applications, etc.;
• Data Extraction, Transformation, and Loading (ETL) tools, which define scenarios for extracting, transforming, and loading the information;
• Data warehouse database, which is the main repository (usually in the form of a database management system, DBMS) with already prepared, i.e., cleaned and structured data, that can be used for analytics, reporting, and other business tasks without additional manipulation;
• Metadata repository, which includes the permissible data types and the rules according to which this data will be used;
• Query and reporting tools, which define algorithms for fast and unified access to data, as well as its analysis;
• Data mart, a subset of the data warehouse that is used for individual business tasks (this can imply, for example, marketing data warehouse design) which formation occurs either directly through the collection from disparate sources or pre-preparing within a consolidated space.

Core Principles of Data Warehouse Design

Now, let's talk about the main data warehouse design principles:

• A clear definition of business requirements and goals, as well as metrics that allow you to objectively assess the degree of their achievement;
• Understanding how information is integrated from multiple sources and what should be the unified format after its transformation;
• Choosing the right type of data modeling – these can be star schemas, snowflake schemas, fact tables, and so on;
• Choosing the right methods and data warehouse software to ensure the quality and consistency of information, in particular, the methods of cleansing, validation, and supplementing of data;
• Planning, scaling, and managing the performance through various methods of indexing, partitioning, compression, etc.;
• Choosing the right tools for metadata management to simplify and improve access to the information;
• Ensuring security and access based on policies and rules (usually, this is achieved through the implementation of advanced encryption algorithms, the introduction of access policies for different user groups, as well as providing reliable authentication and authorization methods);
• Implementing end-to-end monitoring for ensuring data quality and security, performance of processes occurring within the data warehouse, and so on.

Steps in Data Warehouse Design

In this section, we invite you to consider the key steps leading to a successful and agile data warehouse design.

Requirement Gathering

According to the principles to design a data warehouse we defined above, the key to effective data warehouse design is to gather business requirements and clear business goals that it should fulfill. It is also important to identify the requirements for security, scalability, and performance of the repository.

Data Modeling

This is not yet a practical stage, but it still requires the participation of specialists – in particular, it implies the identification of entities, their attributes, as well as possible relationships between them. After this, the most suitable type of DBMS implementation needs to be selected – for example, in the form of tables, columns, indexing, etc. After this, you have to make sure that the selected type performs all the tasks assigned to it according to the predetermined requirements.

ETL Process Design

We have already explained above what the ETL process means, and this stage actually involves choosing the right tools and scenarios for their use.

In particular, you will need to define methods for extracting information from disparate sources (these can be database queries, API calls, file transfers, etc.), methods for bringing data to a single format and ensuring its proper quality (since you will most likely have to deal with big data, there may be many inconsistencies), methods for aggregating data to create complex information structures, automation methods for bulk loading of data (this can be full or incremental loading, and so on) with the usage of temporary storage areas, methods for detecting and eliminating data errors, as well as methods for checking data for completeness and accuracy.

Database Schema Design

There are several well-known data warehouse design patterns, such as:

• Star, which has a fact table at its center and dimension tables associated with it around it;
• Snowflake, which is a more complex Star and also implies additional dimension tables that surround each base dimension table;
• Galaxy, which contains two fact tables and the dimension tables between them.

Data Integration

Now, you can start integrating the data using the previously defined ETL tools and technologies. At this step, you need to make sure that everything works as intended, and the data is transformed into the required unified format.

Data Storage Solutions

At this stage, you need to choose specific data storage solutions according to your requirements for the expected data volume, performance, scalability, and cost. Usually, the choice is made between relational databases, columnar databases, data lakes, and cloud data warehouse solutions.

Data Presentation Layer

Finally, to design data warehouse, you will need to understand what your data presentation layer will be – the layer at which end users will be able to seamlessly access the data and use it to solve specific business problems. This includes developing interfaces, dashboards, reports, and various data visualization tools.

Conclusion

Now that you have a clear guide to data warehouse design, you can begin implementing it with a full understanding of the principles and stages on which it is based. If you would like to delegate this comprehensive task to seasoned data warehouse development specialists, just contact us.

If you are working on a digital solution, one of its integral stages will be UX/UI design. While trivial projects usually have “beaten” paths for creating navigation and visuals, any deviation from the standard can lead to dissatisfaction among end users and increase the entry threshold for them. In this regard, no matter how sophisticated the logic of your project is, it is important to understand the usability principles maintained by human psychology to ensure its excellent user experience.

Theories of Perception in UX/UI Design

Generally speaking, there are several popular theories of perception in UX/UI design:

• Gestalt psychology aimed at gaining an understanding of how people associate individual objects with things that are meaningful to them. The main gestalt principles include figure-ground (according to which some objects, depending on their visual appeal, are perceived as key navigation elements, while others serve as background), similarity (according to which elements with identical visual characteristics are perceived as interconnected), proximity (according to which closely placed objects are also perceived as related to each other), and closure (which states that incomplete objects, if sufficiently detailed, can be perceived by users as complete).
• Affordance theory, claiming that to ensure intuitiveness, users should receive some cues from the interface from the very beginning on how to deal with a particular element – one way to do this is to use skeuomorphism;
• Hick's Law, which states that the time it takes a particular user to make a decision is logarithmic to the number of available options (which means that to maximize intuitiveness, the user's choice should always be limited);
• Fitts' Law, stating that the time it takes a user to reach a desired part of the interface depends on its size and distance (which means that to ensure a great user experience, you need to place interactive elements closer to the user's starting point);
• Signal Detection Theory, claiming that users can subconsciously distinguish between meaningful cues (calls to action) and background noise, meaning that they should be visually separated.

Cognitive Load: Its Effects on UI Design

Now let's move from theory to practice and consider individual insights extracted from the above theories of psychology in UX. 

In particular, the first insight is the minimization of cognitive load, that is, the efforts of the human brain that must be applied to perform a specific target action. Thus, the importance of reducing the amount of information or tasks provided to the user becomes clear – otherwise, there is a high probability that the user will begin to act erroneously. 

In practice, such brevity can be achieved by correctly grouping interrelated elements and removing elements whose functionality duplicates each other.

Emotional Response & UX Design

Another valuable insight from UX design and psychology is to establish an emotional connection with the end user through your interface. This is a global task that begins with user behavior analysis and identifying their desires, pain points, and intentions and ends with transforming the obtained information into design elements that resonate with them. 

Ultimately, you will have to walk in the shoes of the average consumer of your software solution to ensure the proper level of empathy with your emotional design. In terms of practical implementation of the emotional response, such user empathy can be achieved through the integration of “user experience stories” that can be presented by a service provider to users as they get acquainted with the digital solution, as well as the use of the right color palette, forms, audio, pop-ups, and text.

The Role of Memory in User Interaction

Since, according to cognitive psychology in design, the average person can concentrate on one object for up to 20-30 minutes, it is important to take this aspect into account if your software solution involves long-term interaction with it. 

Specifically, you can reduce the load on your users' memory by implementing elements and scenarios that work and occur in a way that is familiar to them. Otherwise, if something does not function as expected, it can lead to users’ confusion and erroneous actions. 

Understanding User Behavior Through Heuristics

Heuristics are specific UI design principles that can predict user psychology. Here are some of them:

• Visibility of system status, which implies the importance of informing end users about what is happening with your software solution at the moment through progress bars, loading animations, or status messages;
• Match between the system and the real world, which emphasizes the importance of correspondence between the system's behavior and the knowledge and experience that users received before they became familiar with your software solution;
• User control and freedom, which implies the need to provide end users with the ability to freely navigate your software solution and manage negative scenarios;
• Consistency and standards, which determine the significance of logical connections between elements, terminology, and layouts;
• Error prevention, which consists of preventing erroneous actions by end users by providing them with unambiguous and understandable instructions;
• Recognition over recall, which states that to ensure better intuitiveness, users should “recognize” familiar patterns from the real world in elements and scenarios of your interface.

Thus, you have to perform a heuristic evaluation to check whether your solution is good in terms of usability. Also, note that in reality, there are many more psychology UI design heuristics, but the above list will be sufficient for a basic understanding of what is meant by the term excellent user experience.

The Impact of Attention on User Experience

Many designers, in order to encourage the user to perform a particular action, abuse pop-up notifications and other features to attract attention, thereby increasing the cognitive load, the inadmissibility of which we have already discussed earlier. 

Instead, you can use such approaches as the correct building of a visual hierarchy, optimization of the color palette, breaking down complex processes into several simple ones, etc. And, of course, do not forget to appeal to the memory of users, which already contains some experience of interaction with other digital solutions and can automate some processes of dealing with them due to the familiarity of the mental models implemented.

User Motivation & Reward Systems in UX/UI Design

Finally, from the point of view of UX psychology, many UX/UI designs benefit from gamification, which motivates users to move toward the target action. In general, gamification is aimed at boosting user engagement and creating an exciting user experience that they don’t want to interrupt. Its main elements are rewards and recognition.

At the same time, it is crucial to note that some reward systems are too confusing for the average user and, thus, create unnecessary cognitive load instead of motivation. Moreover, gamification is not considered a universal approach that could be used in any project. Therefore, you have to always start with the appropriateness and the affordance of implementing this concept clearly and simply for the consumer.

Conclusion

We hope that with the help of this article, you were able to understand the importance of UX design psychology and how it is implemented in UI/UX principles like heuristics, emotional response, lowering cognitive load, user motivation, and others. If you are interested in creating a digital solution that fully meets all these psychological principles, feel free to contact us.

As the practice shows, no idea, even the most brilliant one, when embodied in a digital product or service, will become successful without quality assurance. It, in turn, always includes two non-intersecting procedures that occur before software is launched: the first of them is aimed at obtaining a clear understanding of whether development is moving in the right direction, and the second of them clarifies whether the solution being created meets end user needs. So, how are they called and performed? Let’s find it out right now.

What Is Verification Testing?

In a nutshell, it is a procedure aimed at checking whether the solution being created meets its predefined specifications and generally accepted design and development standards. Software verification testing is performed throughout the entire creation process and involves the use of various automation testing tools and verification methods, such as modular, integrational, and system testing.

What Is Validation Testing?

Unlike the previous type of testing, this one involves planning real-world scenarios that allow the development team to make sure that the solution being created meets its audience’s needs (for this, you can apply, for example, the alpha- and beta-testing validation methods). After that, the solution has to be compared with its specifications. If any discrepancies are found, they need to be eliminated before this solution is released to the public. Actually, that’s why validation testing is repeated until the team achieves full compliance.

Purpose of Verification and Validation

The main goals of verification and validation testing are to fully satisfy the needs of the software solution owner and the audience as well. As soon as these procedures are successfully completed, the project can be launched.

Difference Between Verification vs Validation Testing

So, what about the verification and validation difference? Generally speaking, while verification is aimed at checking the compliance of a product or service with its list of requirements agreed upon between the development team and the owner, validation allows teams to make sure that this service or product will be positively accepted by its end users. 

In this regard, the first procedure starts from the very beginning of the development process and lasts until the final testing stage and the second – only after the product/service is completed. This also imposes certain differences on the test data used: during verification in software testing, QA engineers use sample data (in this regard, automation methods are often applied), and during the software validation – real data (usually, manual methods do a great job here).

How Are Verification and Validation Testing Performed?

Now, let's look at the four most popular approaches used for validation and verification in software testing:

• Peer reviews, which involve providing a software solution to focus group representatives for a certain period of time in order to obtain feedback on their experience of interacting with it;
• Assessments, which are left by focus group representatives after checking the solution for functionality and identifying errors and inconsistencies in it;
• Walkthrough, which implies a preliminary explanation to focus group representatives of how exactly to interact with the software solution, after which the latter leave their feedback on how well everything was clear and whether they think some areas need to be optimized;
• Desktop-checking, which includes reviewing the software code by specialists (in particular, software engineers).

Tips for Successful Verification and Validation

To ensure these two procedures go smoothly, follow these guidelines:

1. Define the tasks and goals you are pursuing through these procedures and what the results should be upon their completion;
2. Choose the specific tools and approaches you are going to use – they should cover all possible scenarios of user interaction with your software solution, as well as generally accepted software development standards;
3. Create a testing plan, where you will specify deadlines, available resources, and evaluation criteria (along with the acceptable minimum compliance);
4. Proceed directly to testing in order to identify bugs and inconsistencies that will need to be fixed before the project is released;
5. Involve representatives of the potential target audience and stakeholders in the testing procedure to get the most objective assessment of the quality of your team's work;
6. Don't forget to document and monitor the testing results from one bug fixing to another to understand the dynamics of improvements.

Popular Test Automation Tools For Verification and Validation

Although automated testing is considered a standard approach for verification testing only, sometimes, it also brings benefits when implementing validation testing. In this regard, we have compiled a small selection of popular tools that you can use for quality control in software:

• Selenium, an open-source web solution that supports a lot of programming languages, such as Java, Python, C#, and so on, as well as integrates with different frameworks;
• Appium, an open-source service for automated testing of mobile apps on iOS, Android, and Windows (both native, cross-platform, and hybrid ones);
• Robot Framework, an automation framework aiming at implementing acceptance testing and acceptance test-driven development;
• Jenkins, an automation server used for continuous integration and continuous delivery that streamlines the build, test, and deployment stages;
• TestNG, a popular testing framework that is actively used for testing Java-based software solutions;
• Cucumber, an environment for running automated acceptance tests written in Java, Ruby, etc.;
• JMeter, a perfect solution for performance testing of web apps.

Conclusion

We hope that we have helped you understand the difference between validation and verification testing, and now, you can also assess their importance in creating high-quality and competitive software solutions. You can also check out our blog to learn more about software development and design.

Evolving companies regularly look for new ways to bypass competitors in today's dynamic world. At the same time, software development for business is one of the most effective strategies. External expertise enables them to achieve higher levels of efficiency, innovation, and financial savings. However, finding the perfect outsourced web development team with all the individual needs can be tricky. Today, we will share essential tips on this topic with you.

It should be noted that the demand for hiring software development team has increased significantly in recent years. According to Statista, global income from IT outsourcing will continue its rapid growth for the next eight years. The following figure shows the projected increase in its revenues worldwide:

How to Find the Best Outsourced Development Team

As already noted, the process of finding the perfect web outsourcing team is in most cases an absolutely daunting task, but we are ready to share with you some effective methods that will simplify this process:

• Internet search: Look for companies with high ratings and many positive reviews directly through search engines (Google and so on). It is worth starting with the main search queries and gradually detailing them using filters or keywords. It is also recommended to browse companies' websites, articles, and blogs directly to be more guided in their expertise.‍
• Recommendations: One proven and reliable way to find real pros is to seek advice or recommendations from your colleagues, employees, or business partners. If your acquaintances already dared to outsource dedicated software development teams, you can directly ask people from your professional network who they can recommend and for what reasons.‍
• Implemented cases and portfolios: Carefully review the portfolios and cases of your potential partner. This will help you analyze the outcome of their previous projects and determine if their style and approach meet your individual requirements. It is also necessary to pay attention to those projects that are similar in structure and concept to yours.‍
• Social networks and professional communities: Social networks and professional communities (like LinkedIn) are great options for finding reputable, highly specialized outsourcing service providers and analyzing customer reviews. They are also an excellent way to get more information about your contractor and its professional connections.‍
• Freelance platforms: Upwork, Toptal, and Freelancer are useful platforms for finding and communicating with experienced specialized specialists. These platforms also provide access to a vast database of freelancer profiles, ratings, and portfolios, which will help you get a complete picture of their professional competence.‍
• Events and conferences on professional topics: By attending various specialized events, you can expand your network of social contacts. In addition, you can personally communicate with potential partners, ask them questions that interest you, and make more or less objective impressions of them.

What Should You Look for When Searching for an Outsourced Development Team?

Clear positioning

Each company excels in a specific area, focusing on a single or a few related directions, such as mobile and web development. This specialization ensures their expertise and quality in these particular fields. It's important to note that the best outsourcers refrain from attempting to offer design, coding, and a myriad of other services simultaneously.

The presence of the grads and their description

If an outsourcer sells the services of Junior, Middle, and Senior specialists, there should be clear descriptions of what they can do and at what level.

Consent to interview

Even if you plan to interview only some experts, asking the service provider representative if they are open to interviews is beneficial. This step lets you feel more involved in the selection process and ensures that the outsourcing company is transparent.

Cases

The cases may be so problematic that the outsourcer projects for other companies are under NDA, and details cannot be disclosed. Therefore, cases can be impersonal without specifying specific customers.

How Do You Evaluate an Outsourced Development Team?

It is worth paying attention to several main aspects to make an informed, balanced, and final decision regarding outsourcing software development to a dedicated team. Undoubtedly, the portfolio and successful cases should be reviewed first to evaluate their previous projects.

After that, assess the technical skills and ability to work with the tools and technologies necessary for your project. For practical analysis, conduct technical interviews or ask for a test assignment to verify their qualifications.

Pay attention to the level of communication. The remote development team should respond quickly to your requests, clearly formulate their thoughts, and be ready for regular reports.

Compare the cost of services, considering the value for money your future partners ask. No one will argue that when you hire software development team, the cheapest option is not always the best, so it is worth assessing the cost of services in the context of the overall quality of work and the results you will receive.

Clarify the guarantees and level of support after the project is completed when you try to find outsourcing companies. For example, reliable contractors usually offer a specific warranty period and post-project support to ensure the smooth operation of the product.

Finally, assess whether the outsourcer's culture and values match yours. This may not be the most pragmatic metric, but it is equally important during hiring remote outsource developer. Specifically, your contractor must share your values and be prepared to work according to your standards and requirements. This will ensure harmonious cooperation when you hire outsourcing team.

Software Development Outsourcing with Darly Solutions

Choosing Darly Solutions for software outsourcing development gives you several advantages that help solve problems of any complexity efficiently and without compromising your budget. Regardless of the specifics of your project, we will provide you with the necessary resources and support, allowing you to focus on the main thing – ensuring the prosperity of your business.

• Access to new resources for development and support:

When you hire a remote outsource developer Darly Solutions, you get seamless access to talents with experience in new, improved, and specialized tools and technologies. 

• Cost-effective development:

Darly Solutions offers affordable prices for programming and support services. Moreover, technical support is included in the service package for a certain period, contributing to reduced overall costs.

• Clear deadlines for the project:

At the stage of forming the technical assignment, Darly Solutions provides you with clear deadlines for the project implementation. Strict adherence to the project terms eliminates the human factor's influence and ensures stability in achieving goals.

• Reliable forecasts and adequate perception of the project:

As your digital partner in outsourcing software development for startups, we always guarantee reliable forecasting of software performance, ensuring a clear idea of the results and investments.

• Competent optimization of any processes:

Systematic optimization of software, increasing its stability, and reducing the likelihood of errors allow us to meet pre-defined standards and business goals.

Conclusion

The aforementioned insights about hiring outsourcing team will allow you to make the right choice and find the best one, considering all the features and details of your project. However, you should remember that choosing a software development company as the right and reliable partner is more than just the immediate outsourcing benefits of high-quality and prompt task fulfillment – it's more about laying a solid foundation for future success.