Strawberry

Send a weekly competitor newsletter that tells the team what changed and what does not yet mean anything.

Strawberry can review an agreed set of public competitor sources and collect material changes. It can draft a short internal newsletter with direct links to the evidence. The newsletter earns trust by reporting no change when there is no change, not by finding something dramatic every week.

Build the watchlist around decisions your team already makes.

Product pages, pricing, release notes, customer stories, hiring pages, documentation, and campaign libraries can each answer different questions. Give every source a reason to be watched, or remove it from the list.

State the observed difference before you explain it.

“Competitor X is going enterprise” is an interpretation.

“Competitor X added a security page naming SSO and audit logs on 25 August” is an observation a reader can verify.

Strawberry can compare the public source with the previous review and prepare both layers, clearly labelled, for the newsletter editor.

Make the format short enough that teams will read it.

A useful digest may contain three material changes, one watch item, and a note that the rest of the sources were unchanged. Give each item a headline, evidence, why it matters, and the person or team who should decide whether it matters at all.

Treat the newsletter as a reviewable research output.

Save the source list, materiality rules, and internal format as a competitor-newsletter skill.

A weekly routine can prepare the next draft on schedule. The editor checks every claim, decides the recipients, and handles sensitive competitive discussion responsibly.

A good archive makes it possible to see whether an apparent signal was real six weeks later.

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Frequently asked questions

Choose a small public-source watchlist, define material change, collect dated evidence, and turn only confirmed changes into a short internal digest.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents