Research Revision Scope

Revising a Research Prompt Without Losing Scope

Tightening a research prompt usually means narrowing it — the diff shows whether your revision sharpened the scope or silently changed the question.

Overview

Research prompt revisions have a specific failure mode: in the act of adding criteria and structure, you accidentally change what's being asked. Narrowing 'project tools' to three named candidates is sharpening; dropping the budget constraint while doing it changes the answer you'll get. Diffing the revision separates the two — additions show the sharpening, removals show anything that fell out of scope on the way. The loaded pair includes one of each, which makes it a good calibration exercise.

Workflow

  1. Diff the loaded pair

    Version B names candidates, adds criteria, source rules, and an output shape — clear sharpening, all in the added list.

  2. Find the scope leak

    The $500/month budget cap is in the removed list. Nothing in B replaces it — the recommendation can now exceed budget.

  3. Patch and re-diff

    Add the budget back as an evaluation criterion ('total cost at 12 seats vs the $500/month cap') and diff again — removals should be empty.

  4. Apply to your revisions

    Rule of thumb: in a research prompt revision, every removal needs an explicit replacement or an explicit decision to drop it.

Why This Works

  • Additions and removals separate 'sharpened the question' from 'changed the question'
  • Budget and scope constraints are the most common silent casualties of research prompt rewrites
  • Re-diffing after the patch verifies the fix instead of assuming it

Best for

  • Decision-support research where the question must stay stable across revisions
  • Prompts revised by someone other than the person who owns the decision
  • Long research prompts where a dropped constraint hides easily

Not for

  • Comparing two competing research prompts for quality — that's the Prompt Comparator
  • Restructuring a rambling research request — that's the Prompt Formatter

Use cases

  • Reviewing a research prompt revision before spending a long model run
  • Checking that added criteria didn't displace original constraints
  • Teaching the sharpen-vs-shift distinction with a concrete pair

Tip: Save time by exploring related resources and tools that integrate with this workflow.

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