> ## Documentation Index
> Fetch the complete documentation index at: https://docs.driven.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Run Deep Research

> A full walkthrough of Driven's Deep Research workflow for multi-source investment research across companies, industries, and market themes, with exportable reports.

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](/skills/deep-research).

## 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.

## 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:

```text theme={null}
Run Deep Research on [topic]. Define the scope, collect evidence from multiple sources, separate facts from opinions, cite sources, summarize risks, and produce an analyst-style brief.
```

Example:

```text theme={null}
Run Deep Research on the AI data center power bottleneck. Identify public companies exposed to the theme, what evidence supports the thesis, and the biggest risks. Focus on US-listed names.
```

## 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?

## Step 3: Export the report

For anything long, save it:

```text theme={null}
Save the final report as a file in my workspace.
```

The report lands in the Agent's files, where you can revisit, share, or build on it.

## Step 4: Chain into specifics

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

```text theme={null}
From this research, take the three strongest names and run a full analysis and valuation on each.
```

## 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.

## Prompt variations

```text theme={null}
Run Deep Research on [company] as a full investment case: business, financials, valuation, competition, and risks. Produce a downloadable memo.
```

```text theme={null}
Run Deep Research mapping the [industry] landscape: the layers, the key public companies at each, and where the value is accruing.
```

## Related

* [Deep Research Skill](/skills/deep-research) — the Skill reference
* [Sector deep dive](/guides/research/sector-deep-dive) — sector-focused research
* [Macro research](/guides/research/macro-research) — theme and policy research