Design degradation holdbacks and long-term cumulative holdbacks for product experiments and feature rollouts. Use when a team needs a long-term counterfactual, wants to measure delayed impact after launch, is worried about metric degradation over time, needs to decide holdback size or duration, or must weigh the user/business cost of withholding a feature.
Scanned 9/12/2026
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---
name: holdback-experiment-design
description: "Design degradation holdbacks and long-term cumulative holdbacks for product experiments and feature rollouts. Use when a team needs a long-term counterfactual, wants to measure delayed impact after launch, is worried about metric degradation over time, needs to decide holdback size or duration, or must weigh the user/business cost of withholding a feature."
category: frontend-and-design
source_repo: hashgraph-online/awesome-codex-plugins
source_path: "plugins/LVTD-LLC/skills/skills/holdback-experiment-design/SKILL.md"
source_url: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/LVTD-LLC/skills/skills/holdback-experiment-design/SKILL.md
---
# Holdback Experiment Design
Use this skill to plan holdbacks that preserve a comparison group after a
feature rollout. Holdbacks are useful when effects may appear later, accumulate,
or degrade after launch.
## Source Traceability
Primary source: Practical A/B Testing by Leemay Nassery. Guidance is
transformed and paraphrased from chapter 3 lines 2487-2836. Experiment-type
context comes from chapter 3 lines 2013-2486.
## Related Advanced Skills
- `long-term-impact-evaluation`: use before detailed holdback design when the
team should compare holdbacks against post-period analysis, continuous
monitoring, CLV models, or hybrid methods.
- `trustworthy-experiment-insights`: use when deciding whether long-term or
holdback evidence is credible enough to drive a product decision.
## Reference Routing
| Need | Read |
|------|------|
| Holdback concepts | `references/core/knowledge.md` |
| Design and cost rules | `references/core/rules.md` |
| Scenario examples | `references/core/examples.md` |
| Step-by-step planning | `workflows/design-holdback.md` |
## Workflow
1. State why short-term A/B evidence is insufficient.
2. Choose degradation or long-term cumulative holdback.
3. Define who remains withheld, for how long, and from what experience.
4. Select long-term metrics and guardrails.
5. Estimate the user, business, and ethical cost of withholding.
6. Define monitoring cadence, exit criteria, and communication plan.
## Output Format
```markdown
# Holdback Plan
## Purpose
[What long-term question this holdback answers.]
## Holdback Type
[Degradation | Long-term cumulative]
## Population And Duration
- Holdback population:
- Rollout population:
- Duration:
- Removal criteria:
## Metrics
| Metric | Role | Readout Cadence | Concern |
|--------|------|-----------------|---------|
## Cost Of Withholding
- User cost:
- Business cost:
- Ethical or trust concern:
## Decision Rules
- Continue holdback if:
- End holdback if:
- Escalate if:
```
## Quality Bar
- Do not create a holdback without a specific long-term question.
- Do not withhold a clearly valuable feature longer than the question requires.
- Do not ignore the opportunity cost to held-back users.
- Monitor guardrails while the holdback is active.
---
**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/holdback-experiment-design/SKILL.md`
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