Glassdoor Reviews

Glassdoor Reviews surface what employees are saying about a company's culture, leadership, and operational challenges — unfiltered internal sentiment that rarely shows up in press releases or earnings calls.

We analyze recent Glassdoor reviews across 2M+ companies, scanning for patterns in employee feedback over a rolling 30-day window. Each signal aggregates multiple reviews mentioning the same theme into a single insight — classified into one of 6 subtypes and scored for sentiment, confidence, and commercial relevance. Signals include aggregate company ratings, reviewer job titles, competitors mentioned as destinations for departing talent, and technologies referenced in the reviews.

A single company can produce multiple signals if different themes emerge from the same review window (e.g., both compensation dissatisfaction and leadership complaints).

Reviewers are anonymous — you get job titles and departments but not names. We're working to de-anonymize where possible.

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See real delivered data → Sample Files

Subtypes represent the specific theme detected across employee reviews. Each signal aggregates trends from multiple reviews — not a single review — so you're seeing patterns, not outliers.

Example Signal

What a single entry looks like in a delivered signal file:

{
  "signal_id": "b8e2f4a1-3c97-4d5e-a1b6-7f8c9d0e2a34",
  "batch_id": "2026-03-01-00-00-00",
  "signal_type": "glassdoor-review",
  "signal_subtype": "glassdoorTalentRetentionConcerns",
  "detected_at": "2026-02-28T14:31:08.450Z",
  "association": "company",
  "company": {
    "name": "Drift",
    "domain": "drift.com",                    // match on domain
    "linkedin_url": "linkedin.com/company/drift",  // or match on LinkedIn URL
    "industries": ["Software Development", "Conversational Marketing"],
    "employee_count_low": 501,
    "employee_count_high": 1000,
    "description": "Conversational marketing and sales platform..."
  },
  "contact": [],
  "data": {
    "summary": "Account executives and CSMs report mass departures since Salesloft acquisition, with 40% of senior sellers leaving for Gong and Outreach within 3 months...",
    "detail": "Multiple AEs and customer success managers describe a talent exodus triggered by post-acquisition quota changes and territory realignment. Reviewers cite comp plans being rewritten...",
    "relevance": 0.93,                        // 0.0-1.0; higher = more actionable for outreach
    "confidence": "high",                     // how certain this signal is accurate
    "sentiment": "negative",
    "competitors_mentioned": ["Gong", "Outreach", "HubSpot", "Qualified"],
    "technologies_mentioned": ["Salesforce", "Marketo", "Intercom"],
    "overallCompanyRatings": {
      "overall_rating": 3.2,
      "work_life_balance_rating": 3.0,
      "culture_rating": 2.8,
      "management_rating": 2.5,
      "compensation_rating": 3.1,
      "career_opportunities_rating": 2.9,
      "ceo_approval": 0.52,
      "recommend_to_friend": 0.45,
      "business_outlook": 0.38
    },
    "total_reviews": 847,
    "recent_reviews_count": 18,
    "review_date_newest": "2026-02-25T11:08:22.100Z",
    "review_date_oldest": "2026-01-28T09:14:55.300Z",
    "job_titles": [
      "Senior Account Executive",
      "Customer Success Manager",
      "Enterprise AE",
      "Solutions Engineer"
    ],
    "glassdoor_id": 1293840,
    "glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Drift-EI_IE1293840.11,16.htm"
  }
}

Field Reference

Standard envelope and entity fields are shared across all signals — see Schema and Resolution. The fields below are specific to this signal:

Signal-Specific Fields

The data object contains everything unique to this signal type — the intelligence extracted from aggregated employee reviews.

Overall Company Ratings

The overallCompanyRatings nested object provides a snapshot of the company's aggregate Glassdoor scores at the time the signal was generated.

Timing & Delivery

• detected_at is when we processed the review batch and generated the signal. Use review_date_newest and review_date_oldest for the actual review time span.
• One signal per subtype per company per 30-day window. Multiple themes can fire for the same company, but the same theme won't fire twice within one analysis cycle.
• Each delivery arrives in a timestamped folder. Treat all signals in a new folder as recent — no need to diff against prior deliveries.

Coverage

• Refresh: Monthly
• Coverage: 2,000,000+ companies
• Best for: HR tech sales, competitive displacement, talent acquisition platforms, employee engagement tools, identifying post-M&A disruption

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