Koji for HR and People Teams: Run Employee Research at Scale

Every People leader knows they should be running more employee listening programs. The data is clear: organizations with robust employee listening cultures see 25% lower turnover, stronger engagement scores, and faster culture change. But the reality of executing employee research at scale is painful.

Scheduling 1:1 interviews across a distributed workforce is a logistics nightmare. Focus groups require a skilled facilitator and produce group-think. Annual engagement surveys take months to analyze and arrive too late to act on. Short pulse surveys generate data fatigue without generating genuine insight.

Koji changes this equation entirely. By deploying AI-moderated conversations that employees take on their own schedule — anytime, anywhere, in any language — People teams can run the kind of deep qualitative research that was previously only possible with a dedicated research function and months of calendar wrangling.

What Koji Does for People Teams

Koji is an AI-powered interview platform that runs fully automated, conversational interviews with employees. Instead of filling out a static form, participants have a real conversation — the AI asks contextually relevant follow-up questions, probes for detail, and surfaces themes that structured surveys consistently miss.

Key capabilities for HR and People teams:

No scheduling required. Share a link via Slack, email, or your HRIS. Employees complete the interview on their own time — during lunch, between meetings, or from home at 10pm.

Voice or text mode. Employees who struggle to express nuance in writing can choose a voice interview instead. Koji transcribes and analyzes both modalities with equal depth.

Always-on global availability. International teams spanning multiple time zones complete interviews without coordinator overhead. Koji is available 24/7.

AI follow-up questions. The AI probes for depth without leading: "You mentioned the onboarding process felt rushed — what specifically felt most rushed?" That contextual follow-up is what makes qualitative research valuable. Koji does it automatically, for every participant.

Automatic analysis. After each batch of interviews, Koji generates a report showing themes, representative quotes, sentiment patterns, and — if you included structured questions — quantitative distributions that give you trackable metrics over time.

Use Case 1: Stay Interviews at Scale

Stay interviews — conversations with current employees to understand what keeps them engaged and what might cause them to leave — are one of the highest-ROI retention tools available. Research consistently shows that employees who have had a recent stay interview are meaningfully more likely to remain at the organization.

The problem: stay interviews are time-intensive. A 30-minute interview with 100 employees represents 50 hours of manager or HR time, before analysis.

With Koji, you can run 100 stay interviews in a week with minimal overhead. Design the study once:

• What keeps you energized and motivated in your work?
• What is the most frustrating thing about working here right now?
• What would need to change for you to see yourself here in two years?
• On a scale of 1–10, how likely are you to still be working here in 12 months? (structured scale question)
• Is there anything leadership could do that would immediately improve your experience?

Koji handles the rest: distributing personalized links to employees, conducting the interviews, and generating a report showing patterns across the workforce — automatically segmented by department, tenure, or location if you imported those attributes via CSV.

This is a fundamentally different ROI equation than traditional stay interview programs that require months of scheduling and facilitation.

Use Case 2: Exit Interviews That Actually Surface the Truth

Exit interviews are notoriously unreliable when conducted by HR staff — departing employees soften feedback to protect relationships and future references. AI-moderated interviews change this dynamic in a well-documented way.

Research on AI-assisted interviewing consistently shows that participants disclose more candidly to AI interviewers than to human ones — particularly on sensitive topics. When employees know their responses are analyzed as aggregated themes (not attributed to them individually), they are more likely to share the real reasons for their departure.

Koji exit interviews integrate directly into offboarding workflows. When an employee submits resignation, a personalized Koji interview link is automatically sent as part of the offboarding checklist.

Effective exit interview questions:

• What was the primary factor in your decision to leave?
• What did you enjoy most about working here?
• What would have made you stay? (single-choice + open-ended follow-up)
• How would you rate your relationship with your direct manager? (scale 1–10)
• What is one thing you wish you had said while you were here?

The resulting report aggregates exit themes across cohorts, helping you identify systemic issues — management problems in specific departments, compensation gaps for certain roles, culture friction that only appears after enough candid departures.

Use Case 3: Longitudinal Onboarding Research

The first 90 days determine whether a new hire reaches their potential or exits within the year. Most organizations rely on a single survey at day 30 — too structured to surface real friction, and too early to reflect the complete picture.

Koji enables a continuous onboarding listening program:

Day 7 check-in: "Tell me about your first week. What has been clearest, and what has felt most confusing?" (open-ended only — this early, you want exploration, not structure)

Day 30 reflection: "Now that you have been here a month, what is working and what is not?" (add structured questions: onboarding satisfaction scale, clarity of role expectations yes/no, likelihood to recommend company scale)

Day 90 debrief: "Looking back, what would have made your first 90 days more effective? What surprised you most about working here?"

Because each interview is AI-moderated, you do not need a dedicated HR coordinator to run 30 new-hire conversations per month. The program scales automatically with your hiring velocity.

Over time, you accumulate a longitudinal dataset that shows whether onboarding quality is improving, which departments generate the most friction, and which cohorts retain best — all from qualitative conversations that no pulse survey could capture.

Use Case 4: DEI and Culture Research

Understanding how different employee groups experience your culture requires psychological safety — the genuine belief that it is safe to tell the truth without career consequences. Anonymous AI interviews create conditions for more honest disclosure than manager-led conversations or named surveys.

Koji for culture and belonging research:

• Belonging assessments: Do employees across backgrounds feel included and valued in day-to-day work?
• Inclusive communication audits: Are there communication patterns that certain groups experience differently?
• Advancement perception research: Do employees believe that promotions and recognition are equitable?
• Manager effectiveness: How do teams experience their managers' communication, feedback, and decision-making?

Koji's structured questions enable mixed-methods culture research. A belonging scale (1–10) combined with an open-ended question — "Tell me about a moment that made you feel especially included or excluded" — gives you both a trackable metric and the qualitative texture to understand it.

Track belonging scores by department quarter over quarter. The structured data tells you where to focus; the qualitative interviews tell you why.

Setting Up Employee Research: Personalized Links for HR

Koji's personalized link feature is particularly powerful for People teams. By importing your employee list via CSV with attributes like department, tenure, role_level, location, and manager, you can:

• Send personalized interview links that address each employee by name
• Automatically segment analysis by department, cohort, or tenure without manual tagging
• Monitor completion rates by group to ensure representative participation
• Follow up with non-responders in specific departments without knowing individual responses

For detailed setup instructions, see Personalized Interview Links.

Example CSV for a stay interview program:

email,name,department,tenure_years,location,manager
[email protected],Alice,Engineering,3,Berlin,Marcus
[email protected],Bob,Sales,1,New York,Jennifer

When Alice opens her personalized link, the AI knows she has been in Engineering for 3 years based in Berlin. Context it can reference: "As someone with three years on the engineering team, what has kept you here this long?" versus a cold "Why do you like working here?"

Privacy and Trust: The Foundation of Employee Research

Employee research only works if participants trust the process. Koji supports privacy-forward research design at every step:

Anonymous mode: Remove the name field from your personalized links — participants know their responses will not be individually attributed to them.

Aggregate-only reporting: Koji reports show themes across all respondents, not individual-level breakdowns by default. You see "40% of participants mentioned career development concerns" not "Alice said she is thinking of leaving."

Custom consent language: Edit the intake form to explain exactly how data is used, who can access it, and how long it is retained.

GDPR compliance: Koji's data processing infrastructure is compliant with European privacy regulations.

Communicating these protections explicitly in your invitation message is one of the single most effective things you can do to improve participation rates and response candor.

Analyzing Employee Research with Insights Chat

After collecting employee interviews, Koji's Insights Dashboard gives you an aggregate view of themes, sentiment patterns, and quantitative distributions. The Insights Chat lets you query the data conversationally:

• "What do employees in the Engineering department say about their career development opportunities?"
• "Which themes are more prevalent in employees with less than one year of tenure?"
• "What are the top three reasons employees said they considered leaving?"

These are questions that would take hours to answer by reading transcripts manually. With Insights Chat, they take seconds.

Getting Started with Your First Employee Study

1. Define your research question: What decision are you trying to make? ("Why is voluntary turnover highest in Customer Success?")
2. Design your study: Mix open-ended questions for qualitative texture with structured questions for trackable metrics
3. Import your employee list: Include segmentation attributes in your CSV (department, tenure, location)
4. Distribute via Slack or email: Personalized links can be sent through any communication channel your team uses
5. Review your report: Koji generates structured analysis after each batch of interviews
6. Share findings: Use Publishing and Sharing Reports to distribute findings to leadership

For voice interviews, see Setting Up Voice Interviews. Voice is especially effective for sensitive HR topics where employees may find speaking more natural and candid than typing.

Related Resources

• Structured Questions Guide — Add quantitative metrics like satisfaction scales, yes/no questions, and feature rankings to your employee research
• Personalized Interview Links — Send named, contextualized invitations to individual employees with department and tenure pre-filled
• Importing Participants via CSV — Set up your employee list with segmentation attributes
• Stay Interviews at Scale — Deep dive on AI-powered stay interview programs
• Insights Chat Guide — Query your employee research data with AI after collection
• Setting Up Voice Interviews — Enable voice mode for more candid employee responses