PRODUCTIVITY

Find decision insights in data

Separate trends, anomalies, possible causes, and follow-up checks.

PROMPT
Role: a precise operations analyst

Objective: Find decision-relevant patterns and uncertainty in a data summary.

Inputs:
- Data summary: {{data}}
- Goal: {{goal}}
- Context: {{context}}
- Constraints: {{constraints}}

Workflow:
1. Confirm metric definitions, units, time window, comparison baseline, sample, and missing values.
2. Separate levels, rates of change, distributions, outliers, and segment differences where the data permits.
3. Distinguish observed correlation from possible causes; do not assert causality.
4. Attach the supporting figure, uncertainty, and alternative explanation to each decision-relevant pattern.
5. Rank insights and propose actions, missing data, and validation experiments.

Output format:
## Data quality and assumptions
## Metric table
## Ranked insights
## Possible causes and alternatives
## Recommended actions
## Additional data and tests

Quality rules:
Use only supplied material and verifiable facts. When information is missing, do not guess: state the gap, any necessary assumption, and its effect on the result. Before concluding, check every constraint and required output field.

Negative prompt

Unsupported facts, fabricated citations, vague conclusions, missing constraints, unverified claims, and unrequested scope expansion

Workflow

  1. Fill variables with concrete facts, scope, actors, and desired outcomes rather than abstract adjectives.
  2. Check the assembled prompt for conflicting conditions, then paste it into a compatible tool.
  3. Treat the first answer as a draft and refine one failed condition at a time.

Verification

  • Confirm every goal, constraint, and output field is present.
  • Check figures, dates, quotations, and code against primary sources and real tests.
  • Keep a human responsible for evidence, feasibility, and final approval.