company-research

name	company-research
description	Research a company and return a consistent dossier: executives + LinkedIn profiles, Glassdoor reviews, financial health, and latest news. Use when evaluating whether a role is worth pursuing.

Company Research

Generate a consistent company dossier for job search decision-making.

Trigger

User says: "research [company]", "look into [company]", "what do you know about [company]", or agent identifies a company worth investigating.

Output Format (ALWAYS this structure)

1) Overview

• Name, website, industry
• Size (employees, include numeric estimate/range), stage (startup/public/PE-backed)
• HQ location, remote policy
• Founded, key milestones
• Executives & key contacts table:

Name	Title	LinkedIn	Notes
CEO	...	linkedin.com/in/...	Background
CTO/VP Eng	...	...	...
Hiring Manager (if identifiable)	...	...	...

• Role-relevant outreach targets (ALWAYS include 2-5 people when available):

Name	Title	Why relevant to this role	LinkedIn
...	...	Hiring owner / cross-functional partner / team lead	...

2) Signals

• Glassdoor/employee review snapshot (rating, pros/cons themes, CEO approval)
• Financial health (funding, profitability signals, layoffs/hiring freezes)
• Latest news table (last 90 days):

Date	Headline	Source	Relevance
...	...	...	High/Med/Low

3) Fit

• Match to target roles (Y/N + why)
• Comp range estimate
• Culture fit signals
• Growth trajectory
• Recommendation: PURSUE / RESEARCH MORE / PASS

4) Risks

• Top red flags and uncertainty notes
• Data freshness concerns
• Validation gaps (what to verify before applying)

Data Sources (in order)

1. web_search (company name + "glassdoor reviews")
2. web_search (company name + "funding crunchbase")
3. web_search (company name + "news" last 90 days)
4. web_search (company name + "executives leadership team")
5. Company careers page (for role details)
6. target-companies.csv (for existing research)

After Research

These steps happen automatically after every dossier. Do not ask the user.

1. Save dossier to company-research/dossiers/[company].md
2. Update job-search/data/target-companies.csv with findings (fit_score, fit_rationale, industry, size, stage, recent_funding, tech_signals)
3. If recommendation is PURSUE, suggest: "Want me to tailor your CV for [role] at [company]?"
4. If recommendation is RESEARCH MORE, suggest: "Want me to dig deeper on [specific gap]?"
5. If recommendation is PASS, no suggestion needed.

Rules

• ALWAYS use this exact structure — no freestyling
• Include sources for every section
• Flag when data is uncertain or outdated
• If Glassdoor has no reviews, say so (don't skip the section)
• Financial health for private companies = funding + signals (don't guess revenue)

Error Handling

• If one source is unavailable (e.g., Glassdoor), continue and mark section as unavailable with source note.
• If conflicting data appears, report both values and recommend verification step.
• If company has minimal public footprint, return best-effort dossier with explicit confidence labels.