What the reviews say
One review specifically points out a lack of understanding regarding language barriers impacting customer service, contrasting with kitchen experience. Another mentions internal cliques and favoritism impacting the employee experience.
What this signalsEmployee reviews often show internal change before it is announced.
Job titles in the reviews
glassdoor-companyglassdoorCrossFunctionalCollaborationIssuesGet every Glassdoor signal for In-N-Out and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at In-N-Out this week?”
The Signal API returns Glassdoor signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full glassdoor-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/8c107876-c1e6-4541-9188-f59e5ec88edd returns this record as JSON. POST /v1/companies/enrich returns every signal for in-n-out.com.
{
"signal_id": "8c107876-c1e6-4541-9188-f59e5ec88edd",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorCrossFunctionalCollaborationIssues",
"detected_at": "2026-09-14T07:11:27.371+00:00",
"company": {
"name": "In-N-Out",
"domain": "in-n-out.com"
},
"data": {
"detail": "One review specifically points out a lack of understanding regarding language barriers impacting customer service, contrasting with kitchen experience. Another mentions internal cliques and favoritism impacting the employee experience.",
"summary": "Reviewers mention disconnected customer service and kitchen operations",
"relevance": 0.4,
"sentiment": "negative",
"confidence": "low",
"job_titles": [
"Associate Level 4",
"Dishwasher",
"Store Associate",
"Level 6 Associate",
"Store Associate (Level VI)",
"Associate"
],
"glassdoor_id": 14276,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-In-N-Out-Burger-EI_IE14276.11,26.htm",
"total_reviews": 10,
"review_date_newest": "2026-09-09T12:39:17.993Z",
"review_date_oldest": "2026-08-27T14:20:51.403Z",
"recent_reviews_count": 10,
"overallCompanyRatings": {
"ceo_approval": 0.93,
"culture_rating": 4.4,
"overall_rating": 4.4,
"business_outlook": 0.83,
"management_rating": 4.1,
"compensation_rating": 4.4,
"recommend_to_friend": 0.91,
"work_life_balance_rating": 4,
"career_opportunities_rating": 4.3
}
}
}
curl https://signals.autobound.ai/v1/signals/8c107876-c1e6-4541-9188-f59e5ec88edd \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"in-n-out.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.