How to Prioritize Startup Features for MVP

Feature prioritization is not about packing maximum value into v1. It is about selecting the minimum set that can validate your core product hypothesis with real users.

Define the learning objective first

Before scoring features, write one sentence: "If users complete X outcome in Y context, we validate Z assumption." This keeps prioritization tied to learning instead of opinions.

Use a simple scorecard

• Learning impact: does this feature reduce key uncertainty?
• User value: does it help users complete the core job?
• Build effort: can we ship it within current constraints?
• Dependency risk: does it unlock or block other work?

Must-have vs nice-to-have

Must-have features enable the core workflow. Nice-to-have features improve comfort but are not required for first value. Keep nice-to-haves out of the first release.

Sequence by retention signal

Early product success is about repeat behavior. Prioritize features that improve onboarding activation and first repeat use over visual polish or edge-case customization.

Weekly review loop

Re-score features every week using real data. If users fail at onboarding, shift priority to reduce friction. If users activate but do not return, prioritize repeat-value features.