What finally made an experiment readout click for me

The first answers were broad enough to be useless. This version asks for assumptions, evidence, and a next step.

Data & Analyticsgemini-2.5-pro#ab-testing

Priya Hsu

Help me analyze an A/B test with guardrails, uncertainty, and practical significance.

Context:

Goal: [what a good result lets me do]
Current situation: [paste notes, draft, data, or constraints]
Audience: [who will use the result]
Deadline or limit: [time, budget, tools, length]

Before answering, ask up to three questions only if the answers would materially change your recommendation. Otherwise, state your assumptions and continue.

Give me:

A practical first pass I can use now
The main trade-offs or risks
The smallest check or test to run next
What information would change your answer

If a fact is missing, label the gap instead of inventing a detail. Use direct language. Keep the result specific to the context I provide.

Geminigemini-2.5-pro

This is usable as written. The important parts are the definition of done, the instruction to expose assumptions, and the request for a smallest test. For an experiment readout, I would start with these checks:

Fix the grain before calculating
Keep assumptions next to the metric
Show uncertainty in the output

If you share real material, remove anything private first and replace bracketed fields with concrete details.

Priya Hsu

That is the version I kept. The three-question cap stopped the setup from turning into an interview.

4 comments

Evan Flores@evanflores·3w ago
Tried the smaller-test idea on an experiment readout. It exposed the bad assumption pretty quickly.
- Max Singh@maxsingh·3w ago
  I added that and it made the uncertainty much clearer.
Talia Scott@taliascott·3w ago
This is close to how I handle an experiment readout, especially the bit about marking unknowns.
Anika Brooks@anikabrooks·2w ago
The concrete example is what makes this worth saving.