Practical founder guide

MVP scope worksheet

Identify one risky assumption before expanding a feature list.

An early product can have very few features and still be expensive to learn from. If the intended user, task, or uncertain assumption is unclear, a short feature list may produce a smaller version of the wrong product.

This editorial worksheet connects the scope of a minimum viable product to a decision. Deliver enough of an outcome to learn something useful, while stating honestly what the test can and cannot establish. The worked example is hypothetical.

Start with one user doing one task

Complete:

[A specific user] needs to [complete a task] when [a situation occurs]. Today they use [the current alternative].

“Freelance designers preparing a weekly review of unpaid invoices” is easier to investigate than “all small businesses.” This is a choice for the test, not a claim that the eventual business must serve only that group.

If the current alternative is unclear, begin with the customer interview worksheet. A proposed feature is not a substitute for understanding the task.

List assumptions before choosing features

AssumptionEvidence nowCost of being wrongWhat to learn next
The problem happens in the intended context____________________________________
The consequence matters to the user____________________________________
Your approach improves the task____________________________________
You can deliver it responsibly____________________________________
You have a workable way to reach or charge users____________________________________

Choose an assumption with meaningful uncertainty and a consequence for your next decision. A technically interesting test can be the wrong priority if no one has demonstrated a reason to use the outcome.

YC’s MVP lecture and transcript discusses delivering a limited initial product, learning from initial users, and restricting scope. The tables here apply those principles to a decision record; they are not official YC templates.

Match the test to the question

UncertaintyA possible testWhat it would not prove
Whether the problem occursDiscuss or observe a recent task with consentThat someone will buy a solution
Whether an explanation is understoodShow a truthful offer and ask the reader to explain it backThat the service works
Whether the outcome helpsDeliver a limited version manually, disclosing that workThat delivery will scale economically
Whether a workflow is usableLet an intended user try a working prototypeThat they will keep using it afterward
Whether someone will commitOffer a clearly defined trial or paid pilot you can fulfillThat broader demand or retention is established

A waiting list measures willingness to leave contact information under the offer shown. It does not demonstrate that the product delivered its outcome. Track each step separately rather than calling every signup a validated customer.

Never imply a feature is available when it is not. Explain what a trial actually provides. Some products need substantial safety, technical, or regulatory work before a live trial is appropriate; a small scope does not remove those responsibilities.

Copy the one-page scope worksheet

Decision fieldYour plan
Intended user and task____________________
Assumption being tested____________________
Current evidence and limitations____________________
Smallest useful outcome to deliver____________________
What is manual or simulated, and how you disclose it____________________
What is deliberately outside this test____________________
Recruitment or access method____________________
Observation or measure____________________
Decision criterion chosen before testing____________________
Time, spending, and other stopping limits____________________
Safety, privacy, and consent requirements____________________
Review date and next decision____________________

Choose the criterion for your context. This worksheet supplies no universal conversion rate or participant count. Explain why the proposed evidence would justify the next small step and what would remain uncertain even if the criterion is met. Strategyzer’s Test Card explains the value of defining an assumption, experiment, measure, and threshold in advance.

Worked example: a hypothetical reminder review

A founder wants to help designers organize payment reminders. Instead of building automated billing, they propose a manual trial: use a redacted invoice summary to prepare a review list, which the designer checks before sending reminders themselves.

The founder discloses the manual work. They exclude bank access, automated messages, and handling client funds. Before the trial, they specify what to observe: whether the designer can use the list to complete a review, where corrections are needed, and whether the designer returns when the task recurs.

This fictional example is not evidence that the product is wanted. A useful manual delivery would still leave questions about repeated use, willingness to pay, acquisition, data protection, and the cost of operating the service.

Save the plan, then add results separately

If a result is ambiguous, report it as ambiguous. Changing the criterion afterward can make a weak result appear stronger without improving the product. Use what you learned to choose the next test rather than expanding scope automatically.

For a practical weekly rhythm, connect your review to the founder action plan. The useful output is a better next decision and an honest evidence record, not a larger backlog.