How Chiefs Of Staff Use AI Browsers for Partnership Research

This guide is for chiefs of staff who run partnership research. It explains how an AI browser like Strawberry runs the workflow given the tools a chief of staff actually uses every day, what the output should look like, and where the workflow fits in the chief of staff's week.

Why this matters for chiefs of staff

A chief of staff spends time on this: shadow the CEO across every meeting, surface what is being lost in the noise, and turn decisions into shipped work. The pain that makes partnership research feel slow is real: context lives in every channel at once; the chief of staff is the only one with cross-functional visibility but no time. The reason an AI browser helps is that chiefs of staff already use multiple surfaces (Notion, Gmail, Slack, Google Workspace, the company CRM and analytics tools) to do this work, and the browser is the only tool that can read across all of them and produce a finished output.

What success looks like

The goal of partnership research is to decide if a partnership is worth pursuing and prepare a specific first conversation. For a chief of staff, success metric is concrete: first meeting booked within 14 days, clear next step at the end of that meeting. A finished partnership research run should look like this: an exec brief, a meeting recap with owners, or a synthesised view of cross-functional state.

Signals partnership research needs

The workflow needs these signals: audience overlap (do their customers look like yours); go-to-market motion (do they sell the way you'd want); history of co-marketing (do they ship with partners or not); current ecosystem partners (where do you fit relative to them). For a chief of staff the practical question is which signals come from the tools already in the stack (Notion, Gmail, Slack, Google Workspace, the company CRM and analytics tools) versus what the browser has to fetch. Strawberry reads the in-stack tools through native integrations and uses the browser for the rest (LinkedIn, news, company websites, search). The chief of staff stays in one surface.

Paste-ready Strawberry prompt

I'm a chief of staff. Run partnership research for me using Notion, Gmail, Slack and the browser, then save the draft.

What a finished partnership research output looks like

Concrete example, not a placeholder:

• Partner: Kime (GEO platform)
• Fit thesis: their users (in-house marketers tracking AI-search visibility) need an AI browser to run the research workflows that produce the content Kime tracks
• Audience overlap: 30-40% based on Kime's customer list (Saxo, Superb, THEMAGIC5)
• Shape: mutual referral, 15% rev share, 18-month attribution
• First ask: a 30-min product demo from each side, decide if MCP integration is worth building

When this works, and when it does not

This workflow is right for chiefs of staff when the work is repeatable and crosses multiple tools. It is wrong when anything that requires the CoS to become the bottleneck on a function that should own itself. In that case, the chief of staff should keep doing the work manually until the pattern is clear enough to automate.

Three mistakes to avoid

• Treating every integration as a partnership when it's just a checkbox
• No clear thesis so the first meeting is a generic 'let's see how we can help each other'
• Skipping audience overlap and pursuing partners whose users don't buy what you sell

Caveats

Strawberry holds back on sending email, updating CRM records, or changing shared systems until a human approves the action. Treat the agent as a fast first-draft author, not an autopilot.