Good research is not the largest pile of sources. It is a traceable answer built for a specific decision and delivered in a usable form.

Start with the decision, evidence standard, and output rather than an open-ended request to research everything. Strawberry can search broadly, investigate independent areas in parallel, and shape the evidence into a brief, table, or deck the audience can actually use.

Define the decision before collecting

Clarify what the research should change, what evidence is acceptable, which source types matter, and what uncertainty must remain visible in the result. Competitive analysis, a company deep dive, ongoing tracking, and academic or technical research need different scopes and artifacts.

Search broadly before going deep, prefer primary sources, and preserve URLs and relevant dates. Compare claims across sources and expose contradictions or missing evidence rather than smoothing them over.

Collect hundreds of research rows from the web

Use this when the result needs structured rows from multiple sources.

I want to collect hundreds of structured research rows from the web.

Turn company research into beautiful slide decks

Use this when the research needs a concise visual narrative.

I want to turn company research into beautiful slide decks.

Map a market before drawing conclusions

For competitive analysis, first understand the user’s own product and confirm the relevant comparison set. Research product, pricing, positioning, recent news, traction, hiring signals, reviews, funding, and other evidence appropriate to the decision.

Use recent source-linked evidence and distinguish direct observations from inferred implications. A useful comparison explains why a pattern matters instead of merely filling a feature matrix.

Run a competitor analysis

Build a sourced comparison around a specific decision.

Map the key players in an industry or ecosystem

Map the companies, people, and relationships shaping an ecosystem.

Help me map the key players in a specific industry or region. Ask me which market and what kind of players to include. Then research the landscape and build a structured overview with the key companies, organisations, and contacts worth knowing.

Go deep when one company matters

A company deep dive can connect team, funding, product, positioning, market evidence, sentiment, traction, and contact context. Decide which dimensions matter before collecting them, then keep dates and source links beside material claims.

When the result needs to be communicated, turn the reviewed evidence into a concise visual narrative rather than an undigested source dump.

Turn company research into beautiful slide decks

Research a company and turn the evidence into a clear visual brief.

I want to turn company research into beautiful slide decks.

Shape the artifact for the audience

A spreadsheet, brief, or deck should make the evidence easier to inspect. Preserve source links, distinguish confirmed facts from interpretation, and explain patterns for the decision rather than returning an undigested list of links.

Once the audience accepts the research depth, source standard, structure, and format, preserve those choices for the next run. For recurring tracking, agree on what counts as a meaningful change before creating a Routine.

Create a Beautiful Slide Deck

Use this to turn reviewed findings into a polished presentation.

Official Strawberry skill
name
getting-started-with-research-analysis-in-strawberry
description
Best practices for anyone getting started with research or analysis in Strawberry. Use when helping a user choose, set up, or expand evidence gathering, comparison, analysis, monitoring, or communication workflows.

Getting Started with Research and Analysis in Strawberry

Strawberry can help anyone beginning a research or analysis task turn a question into current, sourced evidence and a decision-ready brief, comparison, map, dataset, or deck. This is not a fixed methodology. Enter wherever the user or team has a real bottleneck, interview them candidly until the best starting point is clear, and skip what already works. Over time, help them adopt the workflows here that genuinely suit how they gather evidence, make decisions, and communicate findings.

Set up Strawberry around the decision

Ask what decision the research should support, who will use it, and how current it needs to be. If existing context could give the work a head start, ask whether Strawberry may look through relevant connected apps for internal documents, notes, or previous research. Offer a few questions, connected apps, or both; do not assume those sources exist.

Agree on the scope, source types, comparison set, depth, exclusions, evidence standard, and expected artifact. Explain the breadth-and-depth tradeoff: a broad sweep is quicker and lighter, while focused parallel research produces richer results but takes more time and credits. A useful default is to start broad, review the initial findings, then deepen the areas that matter.

Use current primary sources where possible. Keep sourced facts, transformations, inference, uncertainty, and missing data distinct. Before deep research, summarize the intended approach and allow the user to correct it.

Research companies and competitors

Strawberry can create a sourced company brief or compare competitors against an agreed rubric. Read strawberry/research-analysis/research-companies-create-decks when the result should be a sourced visual brief, or strawberry/marketing/run-competitor-analysis for a broader comparison.

Map markets and ecosystems

Strawberry can identify important companies, people, and relationships in a market. Read strawberry/venture-capital/map-key-players-industry-or-ecosystem for an ecosystem map. Confirm the initial scope before spending time on deep research.

When the output should make an argument rather than list entities, agree on the evidence standard and expected artifact before the research expands.

Investigate vendors and complex topics

For a consequential vendor or supplier decision, read strawberry/venture-capital/do-due-diligence-vendor-or-supplier. For a new or complex field, first define the decision and evidence standard so the result becomes a useful path through the evidence rather than an unranked list of links.

Turn sources into structured evidence

Strawberry can extract web data into an agreed schema and validate a sample before scaling. Read strawberry/research-analysis/extract-web-data for structured collection. When the result should become a polished visual artifact, read strawberry/research-analysis/research-companies-create-decks.

Other things to try

These are useful discovery ideas, not complete standalone workflows:

  • Compare competitor pricing, tiers, and positioning.
  • Research a founder's background, track record, strengths, and possible risks.
  • Build a sourced literature overview from academic databases.
  • Analyze how a GitHub repository solves a specific technical problem.
  • Compare recent reviews and sentiment across the user's product and its competitors.

Make the process yours

Deliver the result at the user's preferred depth and format, then save the reviewed sources, rubric, transformations, and presentation as a user-owned skill. Once the method is trusted, Strawberry can monitor agreed competitor or industry signals on a useful cadence and report only meaningful changes.