The Discovery phase is a structured research stage that takes place before development starts. Its purpose is to confirm that the problem is clearly defined, that there is real demand for a solution, and that the idea is feasible from both a technical and a financial standpoint.
What happens during the Discovery Phase?
Discovery is not a linear process, but it does follow a logical order. Each stage answers a specific question and feeds into the next one. Let’s walk through them:
1. Stakeholder interviews. The first step is to understand the business context: the real objectives, constraints, and success criteria. It often turns out at this stage that different stakeholders expect different things from the same product. It’s much better to surface this at the start than after the first release.
2. User research. This stage combines in-depth interviews, behavioral observation, and, when needed, quantitative surveys to test hypotheses. Its purpose is to tell real pain points apart from assumed ones. Clients and managers usually see problems through the lens of their own experience, while user research brings the focus back to the people who face those problems every day.
3. Market and competitor analysis. The team studies the existing alternatives: direct competitors, adjacent products, and manual workarounds such as spreadsheets or non-automated processes. It looks at their strengths, weaknesses, pricing models, and positioning. The aim is to find unmet needs and segments where current solutions fall short.
4. Problem statement. This is a distinct stage that teams often underestimate. Drawing on the data collected, the team forms one clear statement: what problem the product solves, for whom, and in what context. It becomes the working hypothesis that the team keeps testing as the project moves forward.
5. Hypothesis prioritization. Once the problem is defined, the team comes up with several solution concepts, each balancing speed, cost, and depth differently. These concepts are then assessed against criteria such as technical feasibility, fit with business goals, and potential user impact. The outcome is one or two concepts chosen for detailed development.
6. Technical feasibility check. Alongside product research, the team carries out a technical assessment to see whether the chosen concepts can actually be built. It checks whether the required technologies and APIs are available, whether similar solutions already exist on the market, where performance or security bottlenecks might appear, and whether the tech stack fits the team’s skills. Skipping this step risks launching work on a product that proves too expensive to build or impossible to deliver within the agreed timeframe.
7. Scope definition. At this stage, the team decides what goes into the MVP: which features are essential for testing the key hypothesis and which can wait. The fewer features the first version has, the sooner the team gets real feedback and the less a mistake costs. Based on the scope, the team estimates the workload and builds a roadmap with approximate timelines, required resources, and the sequence of tasks.
It is just as important to document what was deliberately left out and why. Otherwise, decisions start to blur during development: every new request looks like a logical addition, and the scope grows unnoticed.
Skipping Discovery means building on assumptions. Going through it means building on facts: a clearly defined problem, a tested hypothesis, a feasible concept, and a scope the team can stick to. If you are planning a new product, start here, and let research, not guesswork, shape what you build.
