Intermediate · 7 min · Data analysis

Get useful tables and structured comparisons

Control comparison criteria, assumptions and units so AI-created tables are meaningful.

1. Define the decision first

Explain what will be chosen and which criteria matter. Identify any criteria that are mandatory, such as eligibility, budget or accuracy.

2. Set consistent units

Ask the same metrics for every alternative. Require missing values to appear as Not available rather than invented numbers.

3. Show reasoning transparently

Request an assumptions section, a compact table, trade-offs, and what further information could change the conclusion.

Vague request

Compare these options and pick the best.

Improved prompt

Compare [OPTION A], [OPTION B] and [OPTION C] by total cost, maintenance, risk and implementation time. Use a table with source/date for every factual figure. Explain trade-offs and unknowns.

Key takeaway

Better decisions come from explicit criteria and visible uncertainty.

Try a relevant library prompt → All tutorials

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