Overview
Lyzr’s Exit Interview Agent transforms traditional offboarding by automating the exit interview process through conversational AI. Built to engage employees over chat, email, or voice, this intelligent agent collects structured feedback, uncovering the real reasons behind employee exits. By delivering insights in real time, it empowers HR teams to proactively address issues and reduce future attrition.
Problem Statement
Organizations often struggle with gathering meaningful data during exit interviews due to low participation, rushed responses, and inconsistent formats. Feedback is typically unstructured and scattered, making it hard to analyze or act upon. HR teams are left identifying trends too late after patterns of attrition have already formed. This creates a reactive environment where systemic issues go unresolved and valuable insights are lost.
Agent Blueprint (Excalidraw Diagram)

Agent Blueprint Flow Explanation
The workflow begins when HR marks an employee for exit. This triggers the Exit Interview Agent, which identifies the preferred communication channel for the employee be it chat, email, or voice and initiates the conversation. Using natural language understanding, the Conversation Agent adapts its tone and question flow based on real-time sentiment detected in the employee’s responses.
Throughout the interaction, the Sentiment Analysis Agent continuously assesses emotional cues, categorizing responses by satisfaction level, regret, or potential red flags. This feedback spans critical areas such as team dynamics, management effectiveness, workload balance, compensation fairness, and opportunities for growth.
Once the interview concludes, the Report Generator Agent compiles all findings into a structured, visually represented dashboard. Emotion-tagged quotes, categorized feedback, and scoring models make it easy for HR to interpret data at a glance. When necessary, anonymized insights are routed to relevant team managers, enabling early interventions and culture improvements.
Benefits & Capabilities of the Agents
- Encourages Candid Feedback allowing for more honest and deeper responses, eliminating bias.
- Delivers Structured Insights at Scale where every response is categorized and scored, eliminating guesswork and spreadsheet tracking.
- Enables Proactive HR Decisions spotting trends early helps prevent avoidable resignations and systemic issues.
- Saves Time and Resources receives ready-to-use reports without conducting or transcribing interviews.
Tech Stack Used
Category | Technology / Tool |
---|---|
Agent Orchestration | Lyzr AI |
LLM Engine | GPT-4 |
Knowledge base | Qdrant Vector DB (Short and Long Term Enablement) |
Frontend | Lovable, React |
Agent Framework | Lyzr AI |
Agents used | Conversation Agent, Sentiment Analysis Agent, Report Generator Agent |
Tools | Mail, WhatsApp, Vapi, OpenAI APIs, Anthropic APIs, Sheets, Lovable |