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Put a working product in users’ hands to prove value, collect real data, and set up your first revenue.
It's the right choice when you have a strong idea but many unknowns and you need market signals before investing.
• You want to understand what to really build and with what priority.
• You're defining positioning, pricing, and messaging.
• You're looking for the first paying customers/pilot contracts.
• You need to prepare solid materials for a round.
• Clear and measurable assumptions
• Value proposition and messaging for the initial segment
• Minimal backlog (3–5 critical features)
• Working MVP for limited beta or early customers
• Metrics plan: what to measure and when to decide
• 90-day post-launch roadmap
• Investor-ready summary with early traction
It is sufficient when it allows you to make better decisions in the shortest possible time.
Are we solving a fairly painful problem?
Who are the early adopters who feel it most?
How much are they willing to pay/engage?
What are we improving, and what can wait?
• Quick interviews and desk research
• Risk mapping and testable hypotheses
• Value proposition & messaging
• Expected MVP outcome (e.g., 20 demos / 50 trials / 10 contracts)
Output: Hypothesis canvas, segments/Jobs-to-be-done, prioritized experiments, minimum backlog.
• High-fidelity prototype where useful
• Core functionality + essential onboarding
• Data collection targeted to decisions
• Dry run with limited beta
Output: Usable MVP, basic funnel, initial behavioral insights.
• Controlled launch (waitlist, beta, B2B pilot)
• Metric analysis, feedback, iterations/pivots
• 90-day roadmap and fundraising milestones
Output: Initial traction report, next priorities, experiment plan.
B2B SaaS: Define the first feature customers will pay for and a sensible entry price
Marketplace: Test one side of the offering to unlock initial traction
Consumer app: Validate retention based on a single key habit
Corporate spin-off: Isolate the core value and bring it to market quickly
• Demand Qualification (demo/early access, time to first action)
• Activation (percentage completing the critical path)
• Early Retention (7/14/30-day)
• Willingness-to-pay (trial→paying, pilot contracts)
• Go-to-market Efficiency (channels with the best signal)
We include: interviews, experiments, prototypes where useful, core functionality, onboarding, sufficient data collection, and mini-reports for investors.
We avoid: overbuilding, "nice-to-have" features, unnecessary measurements, and premature optimizations.
We design by phases and objectives, not by technology
Short sprints with demos and the ability to redirect the focus
Valuable milestones for payments
IP and portability: the result is yours and can grow with you
• Scope creep before problem/solution fit
• Feature parity with incumbents
• “Measure everything” without decision rules
• Premature optimization
How long does it really take? 6–10 weeks for Validate+Build; Launch & Learn adds 2–4 weeks.
How do we decide on features? We start with the main risks: each feature must be tied to a decision.
What if the data suggests a pivot? We have pre-established checkpoints to quickly re-prioritize.
How do we approach pricing and messaging? With light experiments before "cementing" the choices.
After the launch? We deliver 90-day roadmaps and support metrics-focused iteration cycles.
In 30 minutes, we identify hypothesis #1 to test, the expected outcome, and a realistic path with timelines and priorities.
