The decision behind the feature

Tap Tap Go’s product model includes tap and profile engagement analytics, with intended assistance for interpreting useful patterns. Work from the available activity data and a record of relevant content changes. An AI explanation can sound causal without evidence of causation.

Make the outcome reviewable

Before sharing, review three points: check the underlying period; consider alternative explanations; choose a small review action. Ask yourself: What evidence would distinguish this explanation from another plausible one?

Imagine this

Hypothetical example

Imagine a user receiving a suggested explanation for a change in engagement. In this hypothetical scene, the owner checks whether a changed link affected the journey rather than announcing that a new headline caused growth.

Make it practical.

Use this checklist as you read. Checks are not stored.

References & further reading

Tap Tap Go Journal: product context and editorial approach ↗

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