Prompt Engineering for Deep Research -- which approach gets the best results?
 

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GARRY'S TAKE

 
Tuesday, March 3, 2026 · Decision Memo
DECISION MEMO

ANALYSIS

Prompt Engineering for Deep Research

Three approaches to getting high-signal reports from Deep Research tools, compared.

By Garry Sandcastle

 

Deep Research follows a "you state the outcome, you control sources, it proposes a plan, it executes, you receive a structured report with citations" loop. Your prompt is less like asking a question and more like commissioning a scoped research deliverable. Source choice is the highest-leverage prompt engineering move.

 

BEST PICK

Narrow + Deliverable-Specific Prompts

When you can list the top 5 sub-questions yourself, go narrow and precise. Specify the decision/use-case ("I'm using this to decide X"), scope boundaries (geography, time window, what's out of scope), deliverable constraints (required sections, comparisons), and evidence standards. This reduces time wasted on irrelevant branches and improves citation density.

ALTERNATIVE

Broad + Phase-Separated Prompts

When you cannot list the sub-questions, start broader but request a "map first" output. Ask for landscape/overview first, then deep dives. Deep Research supports plan review and modification before running, and you can interrupt mid-run to refine focus.

ALTERNATIVE

Iterative Refinement via Multi-Turn

Use an initial broad pass, review the plan output, then refine in follow-up turns. Works well when the research domain is unfamiliar. Trade-off: higher token cost and longer wall-clock time, but often surfaces unexpected angles a narrow prompt would miss.

 

TRADEOFF COMPARISON

ApproachSpeedDepthCitation DensityBest When
Narrow + SpecificFastDeepHighKnown domain
Broad + PhasedMediumWide then deepMediumUnknown territory
Iterative Multi-TurnSlowVariableMedium-HighComplex/unfamiliar
 

THE VERDICT

For operators who already know their domain, narrow prompts with explicit deliverable structure win on both speed and quality. Use broad prompts only when genuinely exploring unfamiliar territory -- and always request a plan before the full run.

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