Product Prioritization Simulator

Teams struggle to prioritize what matters when customer, competitive, and commercial signals sit in different places.

Decide is the gap between discovering a theme and building the wrong thing.

Without this: Loudest request wins. Revenue, effort, and strategic fit stay implicit.

Primary: Product and GTM leaders

Secondary: Engineering partners estimating effort

Job: Compare options with explicit tradeoffs before committing build time.

Release, feedback, and competitive systems only pay off if someone can decide. Field cycles already force implicit prioritization; the simulator makes it inspectable.

Goals

• Score a small set of bets on impact, confidence, and effort.

Non-goals

• An automated roadmap.
• A substitute for product judgment.

A scoring sheet for a handful of bets using feedback, revenue context, and effort.

Question the MVP tests: Does making tradeoffs visible change which bet gets resourced?

1. Inputs from Discover
2. →Scoring
3. →Tradeoff view
4. →Decision record

Plain language

1. Inputs
2. →Scoring
3. →Comparison
4. →Decision record

Technical

1. Manual inputs first
2. →Later: APIs from feedback and revenue systems

• Bet
• Score
• Assumption
• Decision

Operational

• Faster decision records

Behavioral

• Use in planning

Business

• Hypothesis: fewer builds disconnected from commercial evidence

If prioritization is explicit, the company should waste less build time on low-confidence bets. Next — not built.

• Simple scoring over a model that hides the judgment.

Next. Not started as software.

Intended value

• Clearer bet selection
• Inspectable tradeoffs

• Wire inputs from feedback and competitive systems once those MVPs exist.