# Activation Milestone Evidence Plan

Canonical page: https://waitlist.crany.ai/marketing-templates/activation-milestone-evidence-plan

By Tangenix. Published 2026-10-24. Category: Acquisition measurement.

Investigate whether a candidate first-value milestone reflects a completed user task, reliable tracking and later use before calling it product activation.

## Task

Validate the meaning of a proposed activation milestone rather than merely defining its event name.

## When to use

Use this when a team wants to call signup, a tutorial click or an early task “activation” but has not checked what value it represents. Begin with a real user outcome and keep task evidence separate from analytics instrumentation.

## Choose another approach when

You want to declare product-market fit from one event, choose a milestone because it makes a funnel look larger, or treat a correlation with retention as proof that forcing the action causes retention.

## Inputs

- The user task and what a useful completed outcome would look like.
- A candidate milestone and evidence of how its event is actually recorded.
- A suitable later-use window, eligible population and known data or consent gaps.

## Template

    Candidate milestone / version: [behavior, not just event name]
    Value hypothesis: [why this may represent a useful task outcome]
    Task evidence: [what someone actually accomplished; include assistance]
    False-positive case: [event fires without the useful outcome]
    False-negative case: [outcome occurs but is not captured]
    Instrumentation check: [expected counted and excluded attempts]
    Later-use question: [relevant return behavior and predeclared window]
    Eligibility and observation limits: [who had a real opportunity to return]
    Association evidence: [analysis reference or not yet available]
    Alternative explanation: [prior intent, assistance, selection or another factor]
    Decision: provisional / revise / supported within scope / insufficient evidence
    Separate metric definition: [unit, deduplication and window in its own record]
    Next validation: [specific observation; no fabricated retention result]

## Illustrative example

This is not a Crany customer result. Replace example details with verified facts.

    Fictional example: Handoff Notes initially labels creating a blank checklist as activation. A task observation shows that an empty checklist does not yet give a client usable instructions.
    The founder proposes a more meaningful candidate: preparing a preview that a client can use to locate the required update. They check whether the event reflects that outcome rather than only opening the preview screen. Assisted attempts remain identified as assisted.
    Later return-use evidence is not yet available, so the milestone stays provisional. The team does not invent a retention percentage, apply another product’s benchmark or infer that making everyone click the preview will cause long-term use.

## How to use

1. State the useful task outcome and examine whether the candidate behavior actually represents it.
2. Check tracking false positives, missing observations and the effect of founder assistance.
3. Investigate later use with an appropriate comparison and keep causal claims separate from associations.

## Checks

- A recorded click or account creation is not automatically treated as realized value.
- People without a full opportunity to return are not compared as if their observation windows were complete.
- The milestone remains provisional when task or later-use evidence is missing.

## What to measure

Track the gap between recorded milestones and verified task outcomes, then examine later-use associations under a stable definition. Record selection effects and missing data. This plan cannot prove that a milestone causes retention or that activation is equivalent to paid demand.

## Research and sources

Amplitude recommends defining value-related activation and checking its relationship with retention; NN/g supports task observation. This original validation plan adopts no benchmark, hypothetical percentage or causal growth claim from the sources.

- [Amplitude: Driving product engagement by obsessing over activation](https://amplitude.com/blog/getting-started-activation) — checked 2026-10-24. 2025 practitioner guidance on defining value-related activation and checking association with retention. No hypothetical percentages or growth guarantees adopted.
- [NN/g: Turn User Goals into Task Scenarios for Usability Testing](https://www.nngroup.com/articles/task-scenarios-usability-testing/) — checked 2026-10-24. Realistic actionable user tasks without interface clues for qualitative usability observation.

Prepared with AI assistance. Sources support the stated principles; they do not endorse Crany or guarantee performance.

## About Crany

Crany is an AI marketing co-founder in development for software founders and vibe coders. It is designed to strategize, execute approved marketing and improve based on results. These free resources are usable independently of app access. The public waitlist is at https://waitlist.crany.ai/.