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Reduce risk. Ship features that matter.

We run product discovery workshops for enterprises that align your product vision with real user needs and measurable business goals, and practical AI use.

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Trusted by enterprises across Europe and the US:

Siemens
Geberit
PwC
Toyota
Lexolve
Rainbow
Chooose
Siemens Healthineers
Omnipack

Do any of these

sound familiar?

The idea sounds good, but no one knows if customers actually want it.
Users are not engaging, and the reason is unclear.
AI is everywhere, but it is not embedded effectively.
The product vision is unclear or fragmented.
The budget is spent. Outcomes are uncertain.
What is Product Discovery?

What is Product Discovery?

Product Discovery is a structured research process that turns assumptions into evidence while helping teams use AI tools to iterate and validate product ideas.

In a focused engagement, we interview users, define the right problems, prototype solutions, and test them before a single line of production code is written, while advising on AI implementation, model selection, and architecture.

The result is a clear product vision, prioritized features, tested wireframes, and a development cost estimate.

Let's talk

5 reasons enterprise teams invest in Discovery first.

Your development budget is protected.

Discovery costs a fraction of what it saves. Fixing the wrong product after launch is expensive. Validating before you build is not.

Investment decisions backed by evidence.

Every prioritization call is based on user research and competitor data, and practical evaluation of how AI (if used) adds real value — not assumptions.

You outpace your competitors.

Discovery gives you research-backed clarity on user needs and how AI can meaningfully improve the solution. You enter development with evidence that is a structural advantage at the product level.

Your whole organization stands behind the decision.

Enterprises lose projects not just to bad technology but to fragmented views on strategy and AI adoption. Discovery gives your CTO, CPO, and business stakeholders a shared process and a shared output.

You enter development with defined scope.

Your team knows what to build, in what order, and why, and which AI models or approaches are being used. That clarity reduces rework, speeds up delivery, and keeps execution focused.

Our process & deliverables

01

Research

We combine qualitative and quantitative methods: stakeholder interviews, market analysis, and competitor review. AI-assisted analysis expands research coverage without extending the timeline.

USER RESEARCHMARKET ANALYSISCOMPETITIVE REVIEW

02

Problem Definition

We identify and prioritize the problems worth solving, grounded in user needs and business goals. The output is a clear problem statement your team can act on.

DATA SYNTHESISPROBLEM FRAMINGUSER PERSONAS

03

Ideation

We co-create solutions with your team. We build a feature list ranked by user value and business feasibility, so you know what to build first.

FEATURE IDEATIONMVP SCOPEBUSINESS ALIGNMENT

04

Prototyping with AI

We design a low-fidelity prototype focused on user flow. AI tools accelerate wireframing and iteration so your team can test concepts before committing development resources.

WIREFRAMESUSER FLOWINTERACTIVE PROTOTYPE

05

User Testing

We test the prototype with real users, with AI accelerating feedback analysis and pattern detection. Findings are documented and prioritized.

USABILITY TESTINGFEEDBACK ANALYSISUX REPORT

06

Handover

You receive a complete, decision-ready package ready for development. We can continue as your software partner or hand off to your team.

MVP SPECIFICATIONCOST ESTIMATETECH ROADMAP

01

Research

We combine qualitative and quantitative methods: stakeholder interviews, market analysis, and competitor review. AI-assisted analysis expands research coverage without extending the timeline.

USER RESEARCHMARKET ANALYSISCOMPETITIVE REVIEW

02

Problem Definition

We identify and prioritize the problems worth solving, grounded in user needs and business goals. The output is a clear problem statement your team can act on.

DATA SYNTHESISPROBLEM FRAMINGUSER PERSONAS

03

Ideation

We co-create solutions with your team. We build a feature list ranked by user value and business feasibility, so you know what to build first.

FEATURE IDEATIONMVP SCOPEBUSINESS ALIGNMENT

04

Prototyping with AI

We design a low-fidelity prototype focused on user flow. AI tools accelerate wireframing and iteration so your team can test concepts before committing development resources.

WIREFRAMESUSER FLOWINTERACTIVE PROTOTYPE

05

User Testing

We test the prototype with real users, with AI accelerating feedback analysis and pattern detection. Findings are documented and prioritized.

USABILITY TESTINGFEEDBACK ANALYSISUX REPORT

06

Handover

You receive a complete, decision-ready package ready for development. We can continue as your software partner or hand off to your team.

MVP SPECIFICATIONCOST ESTIMATETECH ROADMAP

From discovery to delivery.

Cyber risk decision-making web dashboard—SSIC scalable platform for C-suite risk mitigation

Legacy Data into an AI-Powered Cybersecurity Management Platform

Securing Fortune 500 partnerships and tripling the corporate customer base through a millisecond-fast cybersecurity SaaS application.

View all projects

During Product Discovery, SH helped me to understand the lean start-up way of product development with initial research, discovery workshops and many hours of discussion and iteration.

Jonathan Goodman

Jonathan Goodman

Founder @ NegotiateNow

Frequently asked questions

What is product discovery in software development?

Product discovery is a structured research and design process that runs before development begins. The goal is to validate your product idea, understand real user needs, and define what should actually be built. It combines user interviews, competitive research, prototyping, and usability testing. For enterprise organizations, it is a risk-reduction measure: it helps teams avoid investing development budgets in features that do not solve the right problems.

How long does a product discovery process take?

Timelines vary depending on the complexity of your product and the scope of research required. A focused Product Discovery engagement with SH typically runs 4 to 8 weeks. At the end, you receive a tested prototype, a prioritized feature list, and a development cost estimate. For teams with tighter timelines, we can scope a condensed version.

What does a product discovery process deliver?

At the end of Product Discovery, you receive: a validated low-fidelity prototype, a prioritized list of MVP features aligned with user needs and business goals, a development cost estimate, user persona documentation, and tech recommendations. Everything your engineering and product teams need to begin development with clarity and confidence.

How does product discovery reduce development risk?

Development risk usually comes from two sources: building the wrong features, or building them based on untested assumptions. Discovery addresses both. We test your assumptions with real users before any code is written. This means your team enters development with validated decisions. Enterprise clients typically avoid significant rework costs by investing in discovery upfront.

When should an enterprise team run product discovery?

Product Discovery is most valuable when you are launching a new digital product, redesigning an existing one, or adding a major new capability. It is also useful when internal stakeholders disagree on direction. Structured research creates an objective foundation for decision-making. If your team is about to commission a significant development investment, Discovery is the right first step.

Can product discovery work alongside our internal product team?

Yes. We design the process to work with your team, not around it. Your CPO or product leads bring context; we bring research methodology and an outside perspective. Workshops are collaborative, and your team is involved at every key decision point. You retain full ownership of all outputs.

What is the difference between product discovery and a technical scoping session?

A scoping session defines what to build in technical terms. Product discovery defines what to build in human terms first, then translates that into technical scope. Discovery includes user research and usability testing; scoping alone does not. For complex products or new markets, discovery gives your scoping process a far stronger foundation and reduces the chance of late-stage pivots.

Ready to validate your product?

Talk to our product team. We will walk you through what Product Discovery looks like for your context.

Book a 30-min call

Work with a team trusted by top-tier companies.

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Siemens logo
Toyota logo

We build what comes next.

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Startup Development House sp. z o.o.

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