算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
holdback-experiment-design【设计与创意】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 fe…
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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.
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.
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.| 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 |
# 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: