
Good morning.
Last week, a founder I advise spent $4,200 on a freelance market researcher.
The typical deliverable was a 22-page competitive landscape report. Took two weeks. Half the data was already stale by the time he opened the PDF.
That same afternoon, I showed him how to set up Claude Cowork, point it at the same market, and had a more comprehensive analysis (with pricing breakdowns, positioning maps, and messaging teardowns) saved to his laptop in under 40 minutes.
This was not a ChatGPT-style wall of text. He got actual files. An Excel workbook with competitor feature matrices. A slide deck ready for his board meeting. A markdown brief with sourced citations he could hand to his marketing team (and for further discussion with Claude or ChatGPT).
Any AI can summarize a competitor's website. The difference was execution. Cowork doesn't advise. It does the work.
And when you configure it specifically for market research (for the kind of intelligence that drives your marketing, sharpens your sales, and validates your offers) it becomes something most operators and teams never had:
A dedicated research employee who works on your schedule, in your files, for $20 a month.
Here's how to set it up, what to ask for, and the workflows that are replacing five-figure research retainers.
— Sam
IN TODAY’S ISSUE 🤖

What Claude Cowork actually is (and why it's different from regular Claude)
The 15-minute setup for market research (steps you can't skip)
Competitor intelligence on autopilot — Teardowns, positioning, pricing
Audience research that feeds your copy — Not just demographics, real buying behavior
Offer validation before you build — Test pricing, bundles, and angles
Sales intelligence workflows — Prospect research, objection mapping, battlecards
The prompts that actually work — Copy-paste templates for each use case
Let’s get into it.

What Claude Cowork Actually Is (And Why It Matters for Research)
If you and your team has been using Claude, ChatGPT, or Gemini for research, they've been working with one hand tied behind their back. Not because the AI is bad but because the chat interface limits what's possible.
Regular AI chat works like this:
Ask a question, get an answer, copy it somewhere, ask another question, paste it into a different doc. The person is the glue holding the whole thing together: project manager, file organizer, and output formatter all at once.
For a quick question, that's fine. For actual market research, it falls apart fast.
How Cowork Changes the Game
Claude Cowork launched in January 2026 as a tab inside the Claude Desktop app. Anthropic built it because developers were already using Claude Code (their terminal-based coding tool) for non-coding tasks. They realized the same agentic power could be made accessible to everyone.
Here's what makes it fundamentally different for research:
It works in your file system. Point Cowork at a folder on your computer. It reads everything in that folder (PDFs, spreadsheets, docs, screenshots) and uses it as context. No uploading. No copy-pasting. Your existing research feeds directly into new research.
It creates actual deliverables. Ask for a competitive analysis and you get an Excel workbook with tabs, formulas, and charts. Ask for a research brief and you get a formatted Word document. Ask for a presentation and you get a PowerPoint deck. Real files, saved directly to your folder and ready to share with your team or drop into a Slack channel.
It runs multi-step workflows. Cowork breaks complex tasks into subtasks, sometimes running them in parallel using sub-agents. One prompt can trigger a research plan that spans competitor websites, your existing customer data, and market reports synthesized into a single deliverable without anyone touching it.
It connects to your tools. Gmail, Google Drive, Slack, and dozens of other apps via connectors. Cowork can pull customer feedback from your support inbox, CRM notes from your drive, and competitor mentions from Slack, all in one workflow.
This is a research capability you and your entire team can deploy.
The 15-Minute Setup for Market Research
The setup is simple enough that your marketing lead or ops person can have this running before lunch. You need a Claude Pro account ($20/month) and the desktop app.
What follows is the full setup. If you're the one configuring it, walk through it step by step. If you're handing this to someone on your team, send them this issue. Everything they need is here.
Step 1: Download and Open Cowork
Go to claude.com/download and install the Claude Desktop app (available for macOS and Windows). Open it up and you'll see three tabs at the top: Chat, Cowork, and Code. Click Cowork.
Step 2: Opt Out of Model Training (Do This FIRST)
This is critical, especially if multiple people on your team will be using this with proprietary data. Before anyone feeds Claude any competitor intel, customer lists, pricing strategies, or internal sales numbers, make sure conversations aren't being used to train Anthropic's models.
Go to File → Settings → Privacy and toggle off any options related to using your data for model improvement.
Do not skip this. If your team is researching competitors, analyzing customer behavior, or testing pricing, that's sensitive business intelligence. Protect it before anyone prompts. This applies to every AI tool, not just Claude, but it's especially important here because Cowork has access to actual files.
If you're rolling this out to your team: make this step part of the onboarding checklist. Every seat needs this configured independently.
Step 3: Set Your Global Instructions
This is the step most people skip, and it's the most important one for getting research-quality output.
Click File → Settings → Cowork → Edit next to "Global instructions." This is where you tell Claude who you are, what kind of business you run, and how you want research delivered.
Here's a template you can customize (and share with your team so everyone's instance is calibrated the same way):
I run [type of business] serving [target market]. We use market research to inform
our marketing campaigns, sales messaging, and product/offer development. When I ask
for research, I want:
- Data-driven analysis, not opinions
- Specific numbers, percentages, and sources wherever possible
- Output as files (Excel, Word, PowerPoint), not chat text
- Competitor analysis that focuses on positioning, pricing, and messaging, not
just feature lists
- Audience insights that I can directly use in copywriting and ad targeting
- Clear "so what" takeaways with each sectionStep 4: Create Your Research Folder
On your computer (or a shared drive your team can access), create a folder called something like "Market Research, Cowork". Inside, create subfolders:
/competitors: Save competitor websites, screenshots, pricing pages
/audience: Customer surveys, testimonials, review screenshots, support tickets
/offers: Your current pricing, sales pages, past launch data
/output: Where Cowork will save its deliverables
If your team shares a Google Drive or Dropbox, this folder structure works there too. Anyone running Cowork can point it at the same shared context.
Step 5: Add Your Context Files
Drop in everything you already have. Customer interviews. Sales call transcripts. Google Analytics exports. Product reviews. Old market research. The more context Cowork has, the sharper its analysis.
Create a simple aboutme.md file in the root of your folder. This is a text file (saved with the .md extension) that Cowork reads and uses as persistent context for everything it does.
Here's a market-research-specific version:
Company: [Name]
Industry: [Industry]
Main products/services: [List them]
Target customer: [Describe your ICP]
Main competitors: [List 3-5]
Current revenue range: [Optional but helpful]
Primary marketing channels: [Email, paid ads, organic, etc.]
Current offer structure: [What you sell and at what price points]
Team: [Who handles marketing, sales, product, so Cowork can format output
for the right person]
Biggest market questions right now: [What you're trying to figure out]Step 6: Test Your Instructions
Open Cowork, point it at your research folder, and give it a task. Start simple:
Read everything in this folder. Then create a one-page brief summarizing what we
know about our market, our competitors, and our customers. Highlight the three
biggest gaps in our current market intelligence. Save the brief as a Word doc
in the /output folder.If the output doesn't match your expectations (wrong format, wrong depth, too generic), go back and tighten your global instructions. This calibration step is how you train the system before handing it to the rest of your team.
Step 7: Check That Memory Is Working
As you use Cowork, it automatically builds a memory of your preferences and context. To verify it's learning, go to File → Settings → Capabilities and check what it's retained.
This matters because the second research task will be sharper than the first. The tenth will feel like working with someone who's been on your team for months. The memory compounds. It learns your market, your competitors, your language preferences, and how you like deliverables structured.
From here, you scale up and scale out across your team.
Competitor Intelligence on Autopilot
This is where Cowork earns its keep. Manual competitor research is slow, tedious, and outdated the moment you finish. Cowork makes it continuous.
The Full Teardown Prompt
Research these 5 competitors: [list URLs]. For each one, analyze:
1. Core positioning and tagline
2. Pricing structure (tiers, pricing model, any discounts)
3. Key messaging themes on their homepage and sales pages
4. Their content strategy (blog topics, frequency, channels)
5. Customer reviews: what do people praise and complain about?
Create an Excel workbook with a tab for each competitor and a summary comparison tab. Include a'Gaps & Opportunities' tab highlighting where we can differentiate. Save to /output.With the Claude in Chrome extension enabled, Cowork can browse competitor websites, read their pages, extract data from review sites, and compile it, all without anyone opening a browser tab.
Hand this prompt to your marketing lead. They run it once, share the Excel workbook with the team, and now everyone is working from the same competitive intelligence.
Positioning Maps
Based on the competitor data in my /competitors folder, create a 2x2 positioning map. X-axis: price (low to high). Y-axis: feature complexity (simple to enterprise). Plot each competitor and us. Export as a PowerPoint slide with annotations explaining each position. Save to /output.This slide goes straight into your next team meeting or board deck.
Messaging Teardowns
This is gold for you and your marketing team:
Analyze the homepage copy of [competitor URL]. Break down: the headline formula, the primary value proposition, the proof elements they use, their CTA language, and the emotional triggers in their copy. Then compare it against our homepage at [your URL]. Identify messaging angles they're using that we're missing, and vice versa. Create a Word doc with side-by-side comparisons.Your copywriter or marketing lead uses this to sharpen positioning without starting from scratch.
Audience Research That Feeds Your Copy
Cowork gives you what most audience research leaves out: the actual language your market uses.
Mining Customer Voice
Drop your customer reviews, testimonials, support tickets, and survey responses into the /audience folder. Then:
Read everything in /audience. Extract the exact phrases customers use to describe: their problem before buying, what made them choose us, their results after buying, and any objections or hesitations they mention. Organize these into a 'Voice of Customer' spreadsheet with columns for: Quote, Theme, Emotion, and Suggested Use (headline/testimonial/objection handler/ad copy). Save to /output.That spreadsheet becomes you and your team's copy bank. Every headline, every ad, every email can pull directly from the language your market actually uses. Share it with whoever writes your copy.
ICP Deep Dives
Using the customer data in /audience and any purchase data available, create a detailed Ideal Customer Profile document. Go beyond demographics. I need:
- Psychographic profile (beliefs, values, identity)
- Buying triggers (what events or emotions drive purchase)
- Information sources (where they learn, who they trust)
- Objection patterns (what stops them from buying)
- Success metrics (how they define ROI)
Format as a Word doc with a one-page executive summary followed by detailed sections. Save to /output.The executive summary goes to your sales team. The full document goes to marketing. Everyone works from the same ICP.
Social Listening Synthesis
If you save social media posts, Reddit threads, or forum discussions into your folder, Cowork will mine them:
Analyze the social media posts and forum threads in /audience/social. Identify: the top 10 pain points mentioned, the language patterns around each pain point, which competitor products are mentioned (and in what context), and any unmet needs that no one in the market seems to be addressing. Create a research brief with direct quotes and frequency counts.Offer Validation Before You Build
This is where market research meets revenue. Before your team spends weeks building a course, a service tier, or a product, let Cowork pressure-test the offer.
Pricing Analysis
Based on the competitor pricing data in /competitors and the customer feedback
in /audience, analyze our current pricing at [price point] for [product]. Answer:
1. How does our price compare to alternatives?
2. What value perception does our price signal?
3. Based on customer language, what price sensitivity signals exist?
4. Recommend 3 pricing scenarios (aggressive, market-rate, premium) with justification for each.
Create a one-page pricing brief and a supporting Excel model. Save to /output.Offer Stack Research
Research what's included in the top 5 competing offers in [your niche]. For each, document: the core deliverable, bonuses, guarantees, payment options, and urgency mechanisms. Then map these against the customer pain points from our /audience data.
Identify: what's table stakes (must include), what's a differentiator (few offer it), and what's a gap (no one offers it but customers want it). Output as an Excel comparison matrix and a strategy brief.Launch Angle Testing
I'm planning to launch [product/offer]. Using the market data we've compiled, generate 5 different positioning angles I could lead with. For each angle, provide: the core hook, the target emotion, the proof points that support it, and which audience segment it resonates with most. Rank them by likely impact based on the customer language data in /audience. Format as a slide deck with one slide per angle.That deck becomes the starting point for your next launch planning meeting.
Sales Intelligence Workflows
Your sales team (even if it's two people) can use Cowork to show up sharper on every call.
Prospect Research Briefs
Before my sales call with [company name], research them. Find: what they do, their approximate size, recent news or announcements, their current tech stack (if visible), and any public pain points or challenges. Cross-reference against our customer profiles to identify which of our case studies or results would resonate most. Create a one-page prep brief. Save to /output.Run this before every sales call. Share the brief with whoever is on the call.
Objection Battlecards
Using the customer feedback in /audience (especially any negative reviews, churn reasons, or 'almost didn't buy' comments), create a sales battlecard document.
For each common objection, provide: the objection as the customer states it, the underlying concern behind it, our best response, and a supporting proof point (testimonial, case study, or stat). Format as a printable one-page reference card.Print this. Pin it next to your sales team's monitors. Update it quarterly.
Win/Loss Analysis
If you save post-sale notes, lost deal notes, or CRM exports:
Analyze the sales data in /audience/sales. Identify patterns in: what our won deals have in common (industry, size, pain point, entry point), what our lost deals have in common, and the top 3 reasons deals stall. Create an analysis document with specific recommendations for adjusting our sales approach. Include a data appendix.The Prompts That Actually Work
After testing dozens of Cowork prompts for market research, here's what I've learned about getting the best output.
Structure Matters More Than Length
Bad prompt: "Do some market research on my competitors."
Good prompt: "Research [specific competitors]. Analyze [specific dimensions]. Format as [specific deliverable]. Save to [specific location]."
Cowork performs best when you tell it what to research, what to look for, how to format it, and where to put it. Share this principle with your team. It'll save them hours of iteration.
Always Specify the Deliverable
Don't ask for "an analysis." Ask for "an Excel workbook with three tabs" or "a Word document with an executive summary and detailed sections" or "a PowerPoint deck with one insight per slide."
The deliverable type forces Cowork to structure its thinking differently, and gives you something you can actually hand to someone or present in a meeting.
Use Sub-Agents for Parallel Research
For large research projects, tell Cowork to use sub-agents:
Spin up sub-agents to research each of these 4 market segments in parallel:
[list segments]. For each, analyze the size, growth rate, key players, and unmet needs. Then synthesize a comparison matrix and recommendation. Save as an Excel workbook.Sub-agents run simultaneously, cutting research time dramatically. Useful when you need intelligence on multiple fronts before a planning session.
Schedule Recurring Research
One of Cowork's newest features is scheduled tasks. Set up recurring research that runs automatically:
Every Monday at 9am, check these 5 competitor websites for any pricing changes,
new product announcements, or messaging updates. Compare against the baseline data
in /competitors/baseline.xlsx. If anything changed, create a 'Weekly Competitor
Update' brief and save it to /output with the date.Your market intelligence stays fresh without anyone managing it. You and your team opens the /output folder Monday morning and the latest competitive update is already there.
Deploying This Across Your Ops & Team
The setup above gets one person running. Here's how to make it a team capability.
Shared context folder. Put your research folder on a shared drive (Google Drive, Dropbox, or your internal file system). Everyone's Cowork instance points at the same /competitors, /audience, and /offers data. New intelligence from any team member feeds into everyone's analysis.
Standardized global instructions. Write one set of global instructions and share it with the team. Everyone's Cowork instance should be calibrated the same way: same output format preferences, same research depth, same deliverable standards.
Role-specific prompts. Your marketing lead runs competitor teardowns and messaging analysis. Your sales team runs prospect research and battlecard updates. Your product person runs offer validation and pricing analysis. Same tool, different workflows, everyone contributing intelligence to the same shared folder.
Weekly intelligence rhythm. Set up the Monday competitor monitoring task. Have each team member drop their Cowork outputs into /output with a naming convention (e.g., "2026-03-10_competitor_pricing_update.xlsx"). Review the highlights in your weekly team meeting. Over time, the /output folder becomes a living intelligence archive.
The compounding effect matters here. Week one, you have scattered research. By month three, Cowork has deep context on your market, your competitors, and your customers, and every new prompt builds on everything that came before.
That kind of institutional knowledge used to take a dedicated analyst years to build.
Getting Started This Week
You don't need to overhaul your entire research process. Pick one workflow and deploy it.
Day 1: Set up the research folder and global instructions. If you're handing this to someone on your team, send them this issue and have them configure it. First thing: opt out of model training in Settings → Privacy. Run the baseline brief to calibrate.
Day 2: Your marketing lead (or whoever owns competitive intelligence) runs the full competitor teardown on your top 3-5 competitors. Save the workbook.
Day 3: Your customer-facing team drops reviews, testimonials, support tickets, and call transcripts into /audience. Run the Voice of Customer extraction.
Day 4: Use the competitor data + customer voice to run an offer validation on your current product or next launch. Review the output with your team.
Day 5: Set up the weekly competitor monitoring task. Check memory settings to confirm Cowork is learning your preferences. Share the /output folder with anyone who needs access.
By Friday, you and your team will have more actionable market intelligence than most companies generate in a quarter.
And you'll have a research capability that keeps compounding without adding headcount.

Claude Cowork handles the grunt work between the question and the answer.
The hours of tab-switching, copy-pasting, and reformatting used to separate "I wonder what our competitors charge" from "here's a pricing strategy backed by market data."
You and your team's judgment still drives every decision. Cowork just closes the gap between curiosity and intelligence.
The operators who deploy this across their team first will make better decisions at every level of the business: marketing, sales, product, pricing.
And when you and your team has continuous intelligence instead of quarterly reports, the quality of those decisions compounds.
Set it up this week. By next month, you'll wonder how your team operated without it.
Until next time,
Sam Woods
The Editor
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