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This guide covers running Deep Research, Driven’s most thorough research workflow. Use it when a question needs evidence pulled from many sources and synthesized into a coherent, cited analysis, the kind of work that would take a human analyst hours. The Skill behind this workflow is Deep Research.

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When to use this

  • Company deep dives
  • Industry maps and competitive landscapes
  • Earnings-season summaries across multiple names
  • Policy or macro event impact
  • Theme research (“who benefits from X”)
For a single metric or a quick market read, a lighter Skill is faster. Deep Research is for depth.

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Step 1: Define the scope clearly

The single biggest lever on Deep Research quality is a well-scoped question. Tell it what to include and exclude:
Example:

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Step 2: Let it work, then read critically

Deep Research runs as a multi-step workflow, gathering evidence, cross-checking key figures, and assembling the brief. Important numbers are verified before they appear, and the full conclusions from each step are preserved in the final output, so nothing gets dropped on the way to the summary. When it finishes, read for evidence quality: are claims sourced, are figures cited, are the risks concrete?

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Step 3: Export the report

For anything long, save it:
The report lands in the Agent’s files, where you can revisit, share, or build on it.

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Step 4: Chain into specifics

Deep Research is often step one. Use its output to drive focused work:

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Common mistakes

  • Vague scope. “Research AI” sprawls; “research US-listed AI data center infrastructure names and their power exposure” focuses.
  • Reading only the summary. The value is in the evidence; skim the support, not just the conclusion.
  • Not exporting. Long research you do not save is research you will redo.

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Prompt variations