Resource
Compare Two ChatGPT Prompts
A side-by-side way to decide between two ChatGPT prompt drafts — scored on clarity, specificity, output control, and risk instead of gut feeling.
Compare Two Research Prompts
'Research X and tell me what's best' against a scoped prompt with criteria and source rules — compared on clarity, where research prompts live or die.
Overview
Research prompts fail by being unfalsifiable: 'find the best option' gives the model nothing to be wrong about, so it returns a confident overview of everything. The fix is scope, criteria, and source rules — and a comparison makes the gap measurable. The loaded pair asks the same question two ways; the clarity and specificity scores show why one returns a decision input and the other returns a Wikipedia summary.
How to use this resource
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Compare with Clarity focus
The loaded pair shares a goal. A names a category; B names candidates, criteria, a team size, and source rules.
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Spot A's contradiction
'Comprehensive but keep it short' is flagged in the risk section — the most common research-prompt conflict.
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Note what makes B falsifiable
Named criteria mean the answer can be checked. That's the line between research and content.
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Scope your own ask
Rewrite your open-ended research prompt with candidates, criteria, and an output shape, then compare against the original.
Why This Works
- Named evaluation criteria force the model to answer your question instead of summarising the topic
- Source rules ('vendor pricing pages, note the date') make claims auditable instead of plausible
- The contradiction check catches 'comprehensive but short' before it silently averages into neither
Best for
- Decision-support research where the output feeds a real choice
- Comparison questions (tools, vendors, approaches) with nameable criteria
- Anyone whose research prompts keep returning generic overviews
Not for
- Formatting a vague research request into sections — the Prompt Formatter does that
- Synthesizing sources you already collected — that's a synthesis workflow, not prompt comparison
Use cases
- Tightening a research ask before spending a long model run on it
- Comparing your research prompt against a scoped rewrite to see what the scoping buys
- Catching the 'comprehensive but short' contradiction before it produces a muddled answer
FAQ
Does the prompt comparator tell me which research prompt is objectively better, or just score them?
It scores the pair on clarity and specificity and flags risks; it does not run the research or verify an answer. Comparing the open ask against the scoped version (Linear, Jira, Asana with named criteria and source rules) shows why one returns a decision input and the other a generic overview. Which to adopt, and running it, stays with you.
What does the comparison catch in an open-ended research prompt like 'comprehensive but keep it short'?
It surfaces that contradiction in the risk section, the most common research-prompt conflict, where "comprehensive but short" silently averages into neither. Against Prompt B's named evaluation criteria (onboarding effort, sprint/reporting features, per-seat cost), the Clarity focus makes the gap measurable: named criteria mean the answer can be checked, the line between research and a generic overview.
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Prompt Comparator
Compare two prompts side by side — quality scores, strengths, risks, and a clear recommendation.