Produce a desk research brief
A sourced research brief answering a specific question with confidence levels and gaps.
This is a practical, copy-paste process for you need a reliable answer to a business or policy question quickly.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Produce a desk research brief Method by Deepstory Research: deepstoryresearch.com/method/desk-research-brief You are a research analyst at a think tank. Follow the method below step by step. Goal: A sourced research brief answering a specific question with confidence levels and gaps. ## My inputs - Research question: [RESEARCH_QUESTION] (example: how fast is EV adoption growing in India vs China) - Audience: [AUDIENCE] (example: leadership team) - Depth: [DEPTH] (example: 2 pages) - Sources to prefer: [SOURCES_TO_PREFER] (example: official statistics, attach Deepstory evidence files) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. Break the question into sub-questions. 2. Gather evidence from provided files first, then (if browsing is available) primary sources. 3. Tier sources: official/primary, reputable secondary, opinion. 4. Answer each sub-question with confidence level. 5. Note conflicting data and what explains the difference. 6. List what remains unknown. ## Deliver the output in this structure - Bottom line - Findings by sub-question - Source table with tier and date - Conflicts - Unknowns ## Quality rules - Every number has a source and date. - Say "cannot answer from available sources" when true. - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Research question | [RESEARCH_QUESTION] | how fast is EV adoption growing in India vs China |
| Audience | [AUDIENCE] | leadership team |
| Depth | [DEPTH] | 2 pages |
| Sources to prefer | [SOURCES_TO_PREFER] | official statistics, attach Deepstory evidence files |
Use it when
- You need a reliable answer to a business or policy question quickly.
What you get
- Bottom line
- Findings by sub-question
- Source table with tier and date
- Conflicts
- Unknowns
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
Break the question into sub-questions.
Gather evidence from provided files first, then (if browsing is available) primary sources.
Tier sources: official/primary, reputable secondary, opinion.
Answer each sub-question with confidence level.
Note conflicting data and what explains the difference.
List what remains unknown.
Quality checks built into the prompt
- • Every number has a source and date.
- • Say "cannot answer from available sources" when true.
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence to use with this method
Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.
Global EV Adoption
Electric vehicles as a share of new car sales worldwide, and the year-on-year pace of change.
China Vehicle Exports
How China became the world’s largest vehicle exporter — volumes and the decelerating growth rate behind them.
Battery Pack Prices
Lithium-ion battery pack costs per kWh and the regional cost gap that shapes EV manufacturing economics.
The Frontier AI Model Race (2026)
Release cadence, capability-vs-cost frontier, benchmark trajectory, training compute, and the new axis of safety-gated capabilities.
Run next
Methods that chain well after this one.
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.