Employee Exit Interview & Attrition Intelligence
Understand why your best people actually leave, proven with statistics.
Upload exit interview transcripts, engagement surveys, and HRIS records, and Steeped AI reveals why your best people actually leave. Custom topic mapping surfaces concepts generic sentiment tools miss: manager conflict, compensation dissatisfaction, burnout language, and career-growth frustration. Steeped AI then quantifies how often each appears by department, tenure, and manager.
University-grade statistical testing confirms which factors are genuinely driving attrition versus normal noise, so HR leaders stop chasing anecdotes. The Eureka Score ranks which combinations, like short tenure plus a specific manager, predict resignation risk before it happens. Messy HRIS exports get cleaned and standardized automatically, so nothing skews the analysis. Turn scattered exit data into a cited, board-ready retention report that tells people leaders exactly where to intervene, proven with statistics instead of guesswork.
Talk to Your Data
Ask retention questions in plain language and get answers backed by exact calculations. Instead of manually reading hundreds of exit interviews, ask why top performers leave a specific team or tenure band, and Steeped AI returns the quantified drivers in seconds, each one traceable to the source records. Nothing is generated or guessed, every answer is pulled from your calculated metrics, so a question about one team's tenure band returns the same verified numbers every time it is asked.
AI Topic Mapping
Use Steeped AI's AI topic mapping to surface nuanced departure reasons like manager conflict, compensation dissatisfaction, and burnout that keyword tagging and generic sentiment scores miss. Quantify how often each appears by department, tenure, and manager so you act on real drivers.
Statistical Significance Testing
Steeped AI's automated significance testing separates real attrition drivers from noise, so HR acts on validated factors, not anecdotes. A university-grade, 3-part framework confirms which departure patterns are statistically real before you take them to the board.
Employee Journey Mapping
Apply Steeped AI's journey mapping to the employee lifecycle. Map tenure milestones and career events into one measurable story of engagement, so you can see exactly where disengagement begins and which stages carry the highest attrition risk.
Real Exit Interview Examples
Every attrition metric stays attached to the raw exit interviews and survey responses behind it. Trace a claim like "31% of engineering departures mention manager conflict" straight down to the exact sentences employees wrote, so HR never has to take a topic label on faith before carrying a finding to leadership.
Insight Hunting Across HR
Attrition data rarely belongs to one team. Org-wide insight hunting puts every metric in plain language so an HR business partner, a department head, and the CFO can each explore the same numbers, while everyone keeps a private workspace for their own findings and reports.
The insights are already in your data.
Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.