How do I install the Long Term Impact Evaluation skill?

Run npx skillmds add thedixitjain/long-term-impact-evaluation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Long Term Impact Evaluation?

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Is Long Term Impact Evaluation free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Long Term Impact Evaluation?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Long Term Impact Evaluation by thedixitjain

Name: Long Term Impact Evaluation
Rating: 4.5 (4 reviews)
Author: thedixitjain

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.

thedixitjain a5d0706 6 files · 14.9 KB Updated Sep 8, 2026 2 repo stars

File contents

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

Need	Read
Long-term evaluation concepts	`references/core/knowledge.md`
Method selection and risk rules	`references/core/rules.md`
Scenario examples	`references/core/examples.md`
Step-by-step method selection	`workflows/choose-long-term-evaluation.md`

Workflow

State why short-term experiment metrics are insufficient.
Identify the expected time horizon and delayed mechanisms.
Compare holdback, post-period analysis, continuous monitoring, and CLV model options.
Weigh accuracy against user cost, business cost, complexity, and confounding.
Choose the simplest method that answers the long-term question.
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.

Source: hashgraph-online/awesome-codex-plugins → plugins/LVTD-LLC/skills/skills/long-term-impact-evaluation/SKILL.md

---name: long-term-impact-evaluationdescription: 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.---# Long-Term Impact EvaluationUse this skill to choose a practical method for measuring product impact beyondthe initial experiment window. It compares long-term holdbacks, post-periodanalysis, continuous monitoring, and customer lifetime value models.## Source TraceabilityPrimary source: *Next-Level A/B Testing* by Leemay Nassery. Guidance istransformed and paraphrased from Chapter 8 on long-term impact, short-term andlong-term metric relationships, holdbacks, post-period analysis, continuousmonitoring, 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| Need | Read ||------|------|| Long-term evaluation concepts | `references/core/knowledge.md` || Method selection and risk rules | `references/core/rules.md` || Scenario examples | `references/core/examples.md` || Step-by-step method selection | `workflows/choose-long-term-evaluation.md` |## Workflow1. 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```markdown# 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.---**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/long-term-impact-evaluation/SKILL.md`

Frequently asked questions