# Prioritization Decision Brief

Decision needed by [date] • Accountable decision-maker [ ]

## Goal and constraints

Customer segment: [ ]
Outcome and time horizon: [ ]
Available capacity: [ ]
Mandatory obligations that sit outside scoring: [ ]

## Compare opportunities

| Opportunity | Supporting/contradicting evidence | Expected behavior change | Effort range | Biggest uncertainty |
|---|---|---|---|---|
| A | [ ] | [ ] | [ ] | [ ] |
| B | [ ] | [ ] | [ ] | [ ] |
| Smaller/manual alternative | [ ] | [ ] | [ ] | [ ] |
| Defer | [ ] | [ ] | [ ] | [ ] |

## Optional score discipline

If using RICE, define reach per [period], impact scale [ ], confidence based on [evidence standard], and effort in [unit]. Formula: reach × impact × confidence ÷ effort. Do not calculate when a required input is missing; label the gap.

Run pessimistic, central, and optimistic assumptions. Does the ranking change? Which assumption drives that change? What low-cost evidence could resolve it?

## Decision record

We choose [ ] because [evidence and strategic fit].
We are delaying [ ] and accept [consequence].
Next experiment: [ ]
Owner and agreed date: [ ]
Revisit if [specific evidence or constraint changes].

## Review questions

- Are we comparing customer problems or unrelated feature requests?
- Are the segments and time periods consistent?
- Does customer count differ from feedback-record count?
- Have we included operating and support effort?
- Is an AI recommendation hiding missing evidence behind a confident score?
- Can a teammate explain the tradeoff without the spreadsheet?