Design a product experiment with a hypothesis, a guardrail, and a decision rule written in advance. Use when the user mentions experiment design, product experiment, A/B test design, hypothesis test, or asks for a experiment design. Product skill by Yasir Jilani.
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---
name: experiment-design
description: "Design a product experiment with a hypothesis, a guardrail, and a decision rule written in advance. Use when the user mentions experiment design, product experiment, A/B test design, hypothesis test, or asks for a experiment design. Product skill by Yasir Jilani."
license: MIT
compatibility: Agent Skills standard. No network access, extra packages, or credentials required.
metadata:
author: Yasir Jilani
version: "1.0.0"
domain: product
---
<!-- GENERATED FILE - edits here are overwritten by scripts/generate.py.
Edit the 'experiment-design' entry in source/, then run:
python3 scripts/generate.py && python3 scripts/validate.py
See CONTRIBUTING.md. -->
# Experiment Design
Design a product experiment with a hypothesis, a guardrail, and a decision rule written in advance.
## When to use this skill
Use this skill when the user:
- experiment design
- product experiment
- A/B test design
- hypothesis test
## When not to use this skill
- The user wants a different domain's specialist skill.
- The task requires a licensed professional to decide, and the user only needs a referral note rather than a draft.
- The request asks you to deceive, evade a control, or hide material facts.
## Professional boundary
Product recommendations are hypotheses until evidence says otherwise. Label confidence. Do not ship dark patterns that hide cost or consent.
## Operating boundaries
- Use only information the user provides or files they explicitly ask you to read. Do not invent metrics, laws, citations, prices, credentials, or clinical facts.
- Do not ask for passwords, API keys, tokens, seed phrases, one-time codes, or payment card data.
- Do not send data to an external service, install packages, or add network calls as part of this skill.
- Separate facts, assumptions, and recommendations. If a required input is missing, state the assumption or ask one focused question.
- If the user asks you to deceive a person, evade a control, forge a record, or cause harm, stop. Offer a legitimate alternative.
- Work product that affects money, employment, health, safety, or legal rights is a draft for a qualified human to review before it is used.
## Inputs to collect
- The hypothesis
- The change
- The primary metric and guardrail
- The available sample
## Workflow
### 1. Hypothesis
The user behavior you expect to change, and why.
### 2. Change
One treatment. Name the control.
### 3. Metrics
A primary metric and a guardrail that would make a 'win' unacceptable, such as errors or complaints.
### 4. Decision rule
Ship, iterate, or stop, written before results.
### 5. Sample
If the sample is too small, call the work a probe, not a conclusive test.
### 6. Ethics
No experiment that tricks users about price, privacy, or safety.
## Output
Deliver a **experiment design**.
- Purpose of this experiment design, in two sentences.
- Facts the user supplied, listed separately from assumptions.
- The work itself, in the structure the workflow names.
- Open questions, risks, and the single next action with an owner.
- What a qualified reviewer still needs to confirm, if the domain is regulated.
## Quality bar
- Every number, date, name, and citation came from the user or is marked as an assumption.
- The artifact can be used without reading this skill again.
- Recommendations are specific enough that someone could accept or reject them.
- Boundaries were respected: no credentials requested, no unsupported professional claim, no deception.
## Example
### Scenario
Jonah Park, product manager at Fieldnote in Edmonton, needs an experiment design by 30 September 2026. A team wants to ship the winner of a three-day test on a rare flow.
### Example data
```text
From: Jonah Park, product manager
Organization: Fieldnote, Edmonton
Date: 14 September 2026
Needed by: 30 September 2026
A team wants to ship the winner of a three-day test on a rare flow.
The hypothesis: A team wants to ship the winner of a three-day test on a rare flow. Stated once, in the ask. Not written down anywhere else
The change: requested 14 September 2026. Not yet approved
The primary metric and guardrail: plan 180, actual 90
The available sample: Activation checklist, recorded 14 September 2026. No supporting file attached
```
### Example outcome
**Experiment design**
To: Jonah Park, product manager, Fieldnote
Date: 14 September 2026 · Needed by: 30 September 2026
**Decision**
Labels the work a probe, adds a guardrail, and refuses a conclusive ship decision.
**What the file supports**
| Input | Value | Status |
| --- | --- | --- |
| The hypothesis | A team wants to ship the winner of a three-day test on a rare flow. Stated once, in the ask. Not written down anywhere else | Needs confirmation |
| The change | requested 14 September 2026. Not yet approved | Carried into the draft |
| The primary metric and guardrail | plan 180, actual 90 | Carried into the draft |
| The available sample | Activation checklist, recorded 14 September 2026. No supporting file attached | Needs confirmation |
**How this draft was built**
**1. Hypothesis**
The user behavior you expect to change, and why.
**2. Change**
One treatment. Name the control.
**3. Metrics**
A primary metric and a guardrail that would make a 'win' unacceptable, such as errors or complaints.
**4. Decision rule**
Ship, iterate, or stop, written before results.
**5. Sample**
If the sample is too small, call the work a probe, not a conclusive test.
**Deliberately not done**
- Peeking and moving the metric.
- No guardrail.
- Calling a tiny sample conclusive.
**Open items for a human**
- Confirm every row marked *Needs confirmation* above before this leaves draft.
- Anything absent from the file stayed absent. No figure, date, or name was supplied from outside it.
Next: Jonah Park by 30 September 2026. This is a draft, not a sign-off.
## Anti-patterns
- Peeking and moving the metric.
- No guardrail.
- Calling a tiny sample conclusive.
## Related skills
- `marketing-experiment`
- `experiment-readout`