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Analysis / Product analytics and activation

Discover paths users take before activation

Summarize event sequences before activation, compare similarly aged users, and identify loops or delays that warrant product investigation.

A starting point for

Product manager · Product analyst

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Your starting prompt.

Analyze [event export] for the [30 days] before each first [activation event]. Summarize common event sequences, repeated loops and elapsed time between steps, comparing activated users with similarly aged users who have not activated. Collapse duplicate technical events and show sequence sample sizes. Produce hypotheses for product investigation, keeping observed paths separate from claims that a particular path caused activation.

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Method and review

Keep the assumptions visible.

Agree on event definitions, identity rules and cohort windows. Check instrumentation coverage before comparing activation, retention or engagement.

For this task, check

Frequent paths may reflect user intent or product access rather than a causal effect.

This starting prompt has no published worked example yet. Begin with a small sample and check the calculations before relying on the result.

Before you begin

  • Bring exports you are allowed to upload, or data your Workspace can already query.
  • Choose the reporting period and agree what each record represents.

Work with permitted files or queryable data. Verify the result against the original records.

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Make it your investigation.

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