Holdback Experiment Design

SkillMonitoring & ops

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.

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Details

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What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/holdback-experiment-design/SKILL.md and read by ahel’s review.

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

NeedRead
Holdback conceptsreferences/core/knowledge.md
Design and cost rulesreferences/core/rules.md
Scenario examplesreferences/core/examples.md
Step-by-step planningworkflows/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

# 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.

Signals

GitHub stars
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Last commit
Oct 2026
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Item type
skill
Key
holdback-experiment-design
Source
github.com/hashgraph-online/awesome-codex-plugins