<!-- Attribution assessment · from Chapter 08 of The Product 360 Handbook -->

# Attribution assessment · [Report or dashboard] · [Date]

**Owner:** [PM]   **Report owner:** [name, team]   **Model in use:** first touch / last touch / linear / time decay / position-based / data-driven / other

## The decision this report supports
[Budget allocation, campaign tuning, channel reviews, comp plans]

## Bias review
| Question | Answer |
|---|---|
| What does this model over-credit? | |
| What does it under-credit? | |
| Which touches can't it see? (peers, community, AI answers, events, partner) | |
| Is the unit right? (person versus account) | |
| Does any platform self-attribute here? Double counting risk? | |
| Is targeting creating selection bias? | |

## Cross-checks
| Method | Available? | What it says | Agrees with the report? |
|---|---|---|---|
| Experiment or holdout | | | |
| MMM (calibrated?) | | | |
| Self-reported attribution | | | |
| Win-loss interviews | | | |

## Verdict
Fit for: [ ]   Not fit for: [ ]   Change needed: [ ]   Review date: [ ]
