PM Company Research
SkillAI & modelsBuild a company research brief focused on product strategy, executive signals, operating model, and market posture.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the PM Company Research skill
What this skill tells your AI
The instructions your AI receives, as published by contextgo/contextgo in src/process/resources/skills/pm-workbench-pack/skills/pm-company-research/SKILL.md and read by ahel’s review.
Use this skill to produce a strategic company brief that is useful to product thinking, not just generic corporate background.
What this skill is trying to learn
The goal is to understand how a company thinks and operates around product:
- what markets it plays in
- how leaders describe its direction
- what product moves it is making
- how its operating model creates leverage or friction
Use when
- You need competitor or adjacent-company insight.
- A strategy discussion needs a sharper external reference point.
- You are evaluating partnership or market-entry context.
- You want PM-relevant interview preparation grounded in real company signals.
Do not use when
- The task is pure financial valuation.
- You need customer research rather than company analysis.
- There is not enough source material to make a meaningful brief.
Research failures to avoid
- copying the About page and calling it analysis
- over-indexing on marketing copy
- using stale executive quotes with no date context
- confusing company aspiration with observed product behavior
Research frame
Cover the company in six layers.
1. Company snapshot
Capture:
- company
- product category
- target customers
- current business model
- notable stage or inflection point
2. Executive signals
Look for substantive statements from:
- CEO or founder
- product leader
- business or operating leader
Prefer signals that reveal:
- strategic focus
- product philosophy
- market conviction
- operating tradeoffs
Always attach source and recency when available.
3. Product posture
Describe:
- flagship product bets
- recent launches or capability pushes
- packaging, pricing, or positioning moves
- the workflow or user they seem to care about most
4. Operating model clues
Look for evidence about:
- product and engineering collaboration
- platform versus feature investment
- ecosystem strategy
- enterprise versus self-serve motion
This layer often matters more than surface feature parity.
5. Risks and pressure points
Identify likely constraints:
- market saturation
- platform dependence
- quality or trust issues
- AI or regulatory pressure
- segment expansion tension
Make these reasoned observations, not invented facts.
6. Implications for us
Translate the research into product implications:
- what to learn from them
- where not to copy them
- what threat or benchmark they create
- what follow-up research is still needed
Workflow
Step 1: Set the research objective
Clarify:
- company
- why you are researching it
- top 3-5 strategic questions
Step 2: Gather sources
Use the best available material:
- company site and launch pages
- earnings calls or public talks
- executive interviews and podcasts
- product blogs and changelogs
- third-party reporting or case studies
Step 3: Separate signal from packaging
For every important insight, ask:
- is this a real directional signal or just a brand statement
- is there a recent concrete move backing the claim
- what behavior or product choice does this imply
Step 4: Synthesize for PM use
Do not stop at summary. Convert the raw material into a brief that helps with product decisions.
Output format
Return:
1. Research objective
- company
- reason for research
- key questions
2. Company snapshot
- category
- customers
- business model
- current stage
3. Executive and strategic signals
- signal
- source
- why it matters
4. Product posture
- main bets
- recent moves
- observed product philosophy
5. Operating model observations
- how the company appears to build, sell, and expand
6. Risks and watchpoints
- likely constraints or tensions
7. Implications for our product thinking
- lessons
- threats
- follow-up questions
Quality bar
The brief is strong only if:
- it goes beyond generic company facts
- it uses recent and meaningful signals where possible
- it distinguishes public narrative from observed product behavior
- it ends with implications for product decisions, not just company trivia
Use together with
pm-product-strategywhen external context should influence strategic choicespm-roadmap-planningwhen competitor or adjacent-company moves affect timing or sequencing
Signals
- GitHub stars
- 54
- Forks
- 5
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
pm-company-research- Source
- github.com/contextgo/contextgo