Software Product Discovery

Our project discovery company will thoroughly analyze and validate your idea before building a real product. Reduce risks, increase efficiency, minimize development costs and avoid rework with our software product discovery services.

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Client testimonials

«We now have a core team of engineers at Relevant who work for us full-time and are supplemented by 4 or 5 engineers with different skillsets when and if required.»

Paul Carse
CTO and Co-founder of Life Moments

“Working with you guys has been fantastic. The level of expertise of your development team is as good as the people that we get in the UK. You’ve got a fantastic talent base of programmers. It’s more challenging to find people of that quality in the UK.”

Cassian Harrison
Co-founder of Splink Industries and My Theory Test App by James May
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What do we discover?


Do people want your solution?

Learn early in the process if your solution really satisfies customers’ needs.


Are you solving customers’ problems?

Discover the pains and needs of your customers to be sure you solve a problem they care about.


Can people use your product?

Before building your product, perform usability tests to understand if customers can use it.


Are you meeting users’ needs?

Demonstrate features to users as soon as possible to get their feedback.


Are you completing the desired outcome?

Ensure the features you’re planning to build will impact the business revenue and customers’ lives.


What technologies and scope of work do you need to build a product?

Identify tools and technology stacks, and agree on scope, budget, timeline, team composition, and skillset.

What does product discovery look like?

Where we differ

Startup background

Our product discovery company recommendations are based on real cases of successful project delivery. We think a few steps ahead to avoid critical issues and save business resources.

Long-term perspective

We consider your specific goals and the long-term impact of your product. You do not have to spend money on a solution that will become useless tomorrow.

End-user in mind

We treat your projects as our own to make a meaningful impact on customers’ lives.

Deep involvement

We involve different professionals - from business analysts to system architects for a clear project vision.

Unbiased analysis

We provide you with data, facts, and research - not an opinion. Our product discovery team believes there is no place for bias when investing in software development.

Agile approach

Leveraging dual-track agile methodology, we add value in a faster way to the customer, reduce risks and adapt better to changes.

Success cases

My Theory Test app by James May
Building #1 driving app in the UK
View case
Reducing paperwork for construction companies
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Developing a SaaS platform that assists UK homebuyers
View case


Why is the discovery phase crucial for your project?

Many companies are eager to launch their new software without delay to see results faster, and we understand them. But if we go to work without a discovery step, we are doing our customers a disservice.

Before rushing into the product, we should know what client pains they want to satisfy and how. It helps us shape the product's vision, unite all the participants around a common idea, plan the project budget more accurately, etc.

Clients can skip the product discovery process and move to the project realization only if they are confident in their idea and set clear data-driven requirements. Otherwise, they risk investing money into a product that nobody needs.

What are the discovery phase benefits?

By skipping the discovery step, the client deprives itself of the ability to:

  • Reduce risks. The discovery phase, performed by a qualified product discovery company, saves time and money and eliminates the risks associated with:
    1. No market for the product
    2. Lack of understanding of the value of the product.
    3. Wrong choice of technologies
    4. Expensive maintenance of the delivered product
    5. Communication and coordination problems
  • Set roadmap. A roadmap, or a description of all activities, goals, and sequence, is key in the software development process. You get a timetable with clearly defined milestones, deliverables, and deadlines established through consultative processes.
  • Win trust. There are three key aspects:
    1. You start with an audience and collect feedback. More chances that your product will be what users expect to receive.
    2. With a prototype, you are more likely to attract investors.
    3. When the discovery phase is complete, you can continue cooperation or find another to deliver the software.
How is product capability evaluated?

We can do this by answering product capability assessment questions:

  • What special problem does the product solve? (value proposition)
  • Who are we solving this problem for? (target market)
  • How big are the opportunities? (market size)
  • What are the alternatives? (current competitors)
  • Why is our product better suited to solve the problem? (our differences)
  • Why is now the right time? (market window)
  • How will we launch the product? (retreat strategy)
  • How will we measure success? (business indicators)
    What factors are critical to success? (requirements and risks)

These answers will help you get a clear picture of your product.

How to prioritize the key problem to be solved?

The discovery process will find different validated user issues and invalidate many others. Solving these problems can create value for the user and the business; however, we will only recognize this value after providing a solution.

Products often collapse when they don't solve a user problem but can fail when the team building them tries to provide too many solutions. Prioritization is the greatest practice to reduce risk. It can be difficult because issues are often intertwined, and our empathy for users tempts us to do our best. Ranking issues by their value to the users and business is a great way to start decision-making.

What are the common research methods?
  • Attitudinal — to apprehend or analyze the attitude of the user. It focuses on performance and actions.
  • Behavioral —to understand the behavior of the users. We can do it by interviewing people about the product.
  • Quantitative —  collecting large amounts of data through surveys, questionnaires, and polling methods for analyzing numerical data for statistical analysis.
  • Qualitative — collecting and analyzing non-numerical data (e.g., text, audio, video) to understand concepts, experiences, or opinions. It can accumulate in-depth insights into a problem or generate new ideas for research.
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