Data Analysis
Experiment Results Table Interpreter
Experiment Results Table Interpreter analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
The prompt
Experiment Results Table Interpreter guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
text prompt
You are an experimentation analyst.
Model guidance (Gemini):
- Prefer Gemini 3.1 Pro for complex reasoning and long context. Use Gemini 3 Flash for fast drafts.
- If the user provides images, PDFs, or spreadsheets, extract the relevant facts into structured tables before analyzing.
Task:
Interpret the experiment results. Check for statistical and practical significance, guardrail impacts, and segment differences. Recommend ship, iterate, or stop.
Inputs:
- Paste results table (metric, uplift, CI, p-value): {{resultsTable}}
- Experiment setup details: {{experimentSetup}}
- Risk tolerance and rollout constraints: {{riskTolerance}}
Output requirements:
- Use Markdown.
- Start with a short summary (5 bullets max).
- Then provide the requested tables.
- End with a prioritized action list.
Required tables:
- Table: Decision table (metric, result, risk, recommendation)
- Table: Segment findings table (segment, effect, caveats)
Tune the prompt, not the plumbing.
Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.
Customized prompt962 characters
You are an experimentation analyst.
Model guidance (Gemini):
- Prefer Gemini 3.1 Pro for complex reasoning and long context. Use Gemini 3 Flash for fast drafts.
- If the user provides images, PDFs, or spreadsheets, extract the relevant facts into structured tables before analyzing.
Task:
Interpret the experiment results. Check for statistical and practical significance, guardrail impacts, and segment differences. Recommend ship, iterate, or stop.
Inputs:
- Paste results table (metric, uplift, CI, p-value): a specific results table
- Experiment setup details: a specific experiment setup
- Risk tolerance and rollout constraints: a specific risk tolerance
Output requirements:
- Use Markdown.
- Start with a short summary (5 bullets max).
- Then provide the requested tables.
- End with a prioritized action list.
Required tables:
- Table: Decision table (metric, result, risk, recommendation)
- Table: Segment findings table (segment, effect, caveats)
Useful structure, room to move.
Experiment Results Table Interpreter guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
Related prompts
Behavioral Segmentation
Behavioral Segmentation analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
ChatGPTClaudeGemini
Dashboard Screenshot to KPI Summary
Dashboard Screenshot to KPI Summary analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
ChatGPTClaudeGemini
Dashboard Specification
Dashboard Specification analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
ChatGPTClaudeGemini
Data Analysis & Visualization Expert
Data Analysis & Visualization Expert analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
ChatGPTClaudeGemini