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long-term-impact-evaluation

long-term-impact-evaluation

Choose methods for measuring long-term product impact after or beyond an A/B test. Use when comparing long-term holdbacks, post-period analysis, continuous monitoring, CLV models, delayed effects, short-term versus long-term metric tradeoffs, or lower-cost alternatives to long-term holdbacks.

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Skill 문서

GitHub

name: long-term-impact-evaluation description: Choose methods for measuring long-term product impact after or beyond an A/B test. Use when comparing long-term holdbacks, post-period analysis, continuous monitoring, CLV models, delayed effects, short-term versus long-term metric tradeoffs, or lower-cost alternatives to long-term holdbacks. license: MIT compatibility: Codex, Claude Code, and other Agent Skills-compatible clients. metadata: version: "0.1.0" displayName: Long-Term Impact Evaluation category: Product Management tags: practical-ab-testing,next-level-ab-testing,ab-testing,experimentation,holdbacks

Long-Term Impact Evaluation

Use this skill to choose a practical method for measuring product impact beyond the initial experiment window. It compares long-term holdbacks, post-period analysis, continuous monitoring, and customer lifetime value models.

Source Traceability

Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 8 on long-term impact, short-term and long-term metric relationships, holdbacks, post-period analysis, continuous monitoring, and CLV models.

Related skills:

  • holdback-experiment-design for detailed holdback planning.
  • trustworthy-experiment-insights for result credibility and false positives.
  • experimentation-strategy-roadmap for cost, quality, and complexity tradeoffs.

Reference Routing

NeedRead
Long-term evaluation conceptsreferences/core/knowledge.md
Method selection and risk rulesreferences/core/rules.md
Scenario examplesreferences/core/examples.md
Step-by-step method selectionworkflows/choose-long-term-evaluation.md

Workflow

  1. State why short-term experiment metrics are insufficient.
  2. Identify the expected time horizon and delayed mechanisms.
  3. Compare holdback, post-period analysis, continuous monitoring, and CLV model options.
  4. Weigh accuracy against user cost, business cost, complexity, and confounding.
  5. Choose the simplest method that answers the long-term question.
  6. Define metric cadence, interpretation limits, and follow-up decisions.

Output Format

# Long-Term Impact Evaluation Plan

## Long-Term Question
[What delayed or sustained effect must be measured.]

## Recommended Method
[Holdback | Post-period analysis | Continuous monitoring | CLV model | Hybrid]

## Tradeoffs
| Method | Benefit | Cost/Risk | Fit |
|--------|---------|-----------|-----|

## Measurement Plan
- Short-term metric:
- Long-term metric:
- Time horizon:
- Confounders:

## Decision Rules
- Continue measuring if:
- End or revise if:
- Escalate if:

Quality Bar

  • Do not create a long-term holdback when a lower-cost method can answer the decision well enough.
  • Do not use post-period analysis without accounting for external factors such as seasonality or campaigns.
  • Do not rely on CLV models without naming model drift and behavior-change risk.
  • Do not confuse continuous monitoring with causal long-term measurement.
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