Back to all templates
Departure interview intake

Exit interview form — capture departure signal that's actually actionable

An exit-interview structure built around the patterns that produce actionable signal — post-exit 30-60 day follow-up alongside the last-day interview, aggregated pattern analysis rather than individual-decision reactions, and manager-attribution mitigation through optional anonymous routing.

Free — included in every plan

Exit interview form — capture departure signal that's actually actionable

Live preview — try the fields below.

No fields to preview.

Who this template is for

Exit interviews are the most-conducted HR template that produces the least actionable signal. The reason is structural: most departing employees sanitize their feedback to avoid burning bridges with managers, leadership, or HR (the very people who write the references and influence the alumni-network or boomerang-rehire possibilities), which means the standard last-day exit interview captures feedback at its least honest. The teams that actually extract signal from exits do three things differently. First, they conduct post-exit follow-up at 30-60 days after the employee starts their new role — by then the bridge is already burned (not still-burning), the new context lets them compare what they left to what they have now, and the honesty levels are dramatically higher than at the last-day interview. Second, they analyze exits at the aggregated-pattern level rather than reacting to individual interviews — one departing employee saying "my manager was bad" is noise (manager dissatisfaction is a frequent rationalization for leaving even when the actual reasons are elsewhere), but fifteen departures from one team citing the same theme is signal that demands intervention. Third, they pair exit interviews with stay interviews — structured conversations with current employees about what would make them stay vs. leave produce more actionable signal than talking to people who have already decided to leave. This template gives you the structure for all three patterns: a last-day exit interview with the standard departure-reason categories and manager-attribution suppression mitigation, a post-exit follow-up form designed for 30-60 day post-departure honesty, and aggregated pattern analysis output that lets HR see themes across departures rather than reacting to individual interviews. Use it as the primary exit-interview tool or as the supplement to a vendor-locked HR-tech stack when the team wants more flexibility on specific exit-interview workflows.

From last-day interview to aggregated departure-pattern analysis

The exit-interview workflow runs in two phases. Phase one is the last-day or pre-departure interview, conducted by HR (not the departing employee's manager — that introduces obvious suppression dynamics) typically in the final week of employment. The interview captures: primary reason for leaving (structured categories: better opportunity, compensation, manager or leadership, growth or development, work-life balance, personal or family, role mismatch, company culture, layoff or termination), secondary contributing reasons, what would have made them stay (the counterfactual question — typically more honest than the leaving-reason question), feedback on manager (with optional anonymous routing to mitigate the manager-attribution suppression), feedback on team and processes, suggestions for improvement, recommendation likelihood (would you recommend this company as a place to work — eNPS-style 1-10), alumni-network and re-hire eligibility (mutual: would they consider returning, and would the company welcome them back), and open-ended feedback. The data flows to the HR-tech stack — Lattice exit module, Culture Amp Exit, BambooHR off-boarding, Workday HCM separations, ExitLogics, Qualtrics EmployeeXM exit module; Convenia exit module, Solides off-boarding, Mereo exit, Senior Sistemas separations, TOTVS RH for Brazilian; Factorial HR off-boarding, Personio off-boarding, Sage HR Spain, Cezanne HR for Spanish-market. Phase two is the post-exit follow-up at 30-60 days after departure, sent via email to the personal email address captured during off-boarding. The follow-up captures the same departure-reason categories plus the comparison questions that only post-exit context enables: how does your new role compare on the dimensions that drove your departure, what would you advise the company to change, and what surprised you about the differences. The honesty levels at post-exit 30-60 days are dramatically higher than at last-day — most people who say "the company was fine, just better opportunity" at last-day will provide much more specific feedback at 30-60 days post-departure. Aggregated pattern analysis happens quarterly or biannually, with HR reviewing themes across departures (by team, by tenure, by demographic, by manager) and surfacing patterns that warrant intervention.

What's included

Each section below maps to one of the three signal-extraction patterns: structured departure-reason capture with mitigation for the manager-attribution suppression (the most-actionable but most-suppressed category), post-exit follow-up at 30-60 days for higher-honesty feedback, and aggregated pattern analysis output. Skip what doesn't fit your org's exit-interview maturity, but resist removing the post-exit follow-up — it's where the honest signal lives.

Built for the org sizes where departure-pattern analysis is operationally meaningful

  • Mid-size B2B (50-500 employees, structured exit process)

    The primary use case. Mid-size B2B orgs have enough departures to make pattern-analysis meaningful (typically 5-15% annual voluntary turnover, which at 200 employees means 10-30 departures per year — enough to see themes) but small enough that exits feel personal and the manager-attribution dynamics are acute (departing employees know exactly who will see their feedback). The HR-tech stack at this scale typically uses BambooHR off-boarding, Lattice exit module, Culture Amp Exit, or ExitLogics as the exit-interview specialist tool. For Brazilian mid-size B2B (RD Station, Pipefy, Conta Azul, Bling, Omie, Movidesk, Octadesk, ContaWise scale; Hotmart, Eduzz, Kiwify in scale-up tier; Stone before maturation, Loft, QuintoAndar in pre-IPO scale), the CLT rescission process adds a regulatory layer — voluntary departures with 1+ year tenure require homologação through the sindicato (union) or Ministério do Trabalho, eSocial reporting captures the departure for fiscal authorities, FGTS (Fundo de Garantia do Tempo de Serviço) withdrawal happens at departure, and the rescission paperwork is separate from the exit interview but the two workflows often run in parallel. Brazilian HR-tech that handles both: Convenia, Solides, Mereo, Senior Sistemas, TOTVS RH, with the exit interview as one workflow and the CLT rescission process as a separate workflow.

  • Enterprise (500+ employees, sophisticated pattern analysis)

    Different operational scale. Enterprise exit-interview programs run on Workday HCM separations, Qualtrics EmployeeXM exit module, ServiceNow HRSD off-boarding, SAP SuccessFactors with separation workflow, with enterprise-tier features (multi-language deployment for global workforce, advanced demographic segmentation with regretted-vs-unregretted loss classification, pattern analysis integrated with broader workforce analytics, integration with the talent-management system to flag departure-pattern risk on remaining employees). The regretted-loss distinction is enterprise-specific — HR classifies departures as regretted (high-performer the team wanted to retain) vs. unregretted (low-performer the team wasn't going to invest in retaining), with different intervention thresholds for each category. Regretted-loss patterns by team, manager, or tenure cohort are the most-actionable enterprise exit-interview output. For Brazilian enterprise (Vale, Petrobras, Itaú, Bradesco, Banco do Brasil, Magazine Luiza, JBS, Ambev, Embraer, TOTVS, BTG Pactual, Stone mature, MercadoLivre, Hotmart mature, XP Inc, Pagseguro, Natura&Co, Globo), the program typically runs on Workday/SuccessFactors for multinational subsidiaries and TOTVS RH / Senior Sistemas for Brazilian-domestic enterprise. For Spanish enterprise (Telefónica, Iberdrola, Santander, BBVA, Inditex, Repsol, Naturgy, Mapfre, El Corte Inglés, Movistar), similar global-vendor pattern with Workday/SAP SuccessFactors dominant.

  • Startups (high turnover, exit-interview discipline often weak)

    Different dynamics than mid-size and enterprise. Startups (under 50 employees) often have weak exit-interview discipline because the CEO knows individual departures personally and feels they don't need structured intake. The reality is that startups have the highest turnover rates (often 20-30% annual voluntary turnover in the first 24 months as the team finds product-market fit and culture), which means structured exit interviews would be especially valuable — but the small-team dynamics make manager-attribution suppression extremely acute (the departing engineer's manager is the CTO who's also a founder, and feedback about the CTO ends up in the founder's personal mailbox). The post-exit follow-up at 30-60 days is especially valuable at startup scale because the at-departure honesty is essentially zero. For Brazilian startups (the Y Combinator graduates, Cubo Itaú accelerator startups, ACE Startups portfolio, the early-stage Brazilian SaaS ecosystem), Solides and Convenia cover the segment with lighter-weight exit-interview functionality. For Spanish startups (Y Combinator graduates from Spain, the South Summit ecosystem, the 4YFN startup track), Factorial HR is the dominant Spanish-market HR-tech tool that bundles exit-interview functionality.

  • Remote-first (geographic dispersion adds exit-pattern complexity)

    Remote-first companies have unique exit-interview considerations because departing employees may never have met the HR team in person, which changes the interview dynamics. The interview is typically conducted via Zoom rather than in-person, which the research shows produces somewhat more honest feedback than in-person (the physical distance reduces social pressure) but somewhat less detailed feedback (the call cadence makes follow-up questions less natural). The geographic dispersion also creates pattern-analysis complexity — when departures cluster in a specific geographic region (Brazil-based engineers leaving at higher rates than US-based engineers), the pattern often points to compensation-fairness issues, time-zone fairness issues, or career-progression visibility issues specific to the geographic context. For Brazilian remote-first companies (Loft, QuintoAndar, Nubank in remote mode, Mercado Livre with significant remote workforce, the Brazilian SaaS that went remote-first in 2020-2022 — Resultados Digitais during transition, Hotmart, Wildlife Studios, Pipefy, Movidesk), the cross-border-compensation dynamic surfaces particularly intensely at exit because departing Brazilian engineers often go to US-based companies for 2-3x salary, and the exit interview reveals whether the original company's compensation strategy was sustainable.

  • Public sector (regulated process, union-influenced)

    Different operational constraints than private-sector exits. Public-sector departures in the US, EU, and most LatAm jurisdictions are governed by civil-service law that may include specific procedural requirements (notice periods, performance documentation, appeal rights for involuntary departures). The exit interview is typically less formal in public sector than private-sector — many public-sector departures don't include any structured exit interview at all, with the off-boarding paperwork serving as the only documentation. The unions in unionized public-sector environments may have a role in exit-interview design or the data collected. For Brazilian public sector (federal, state, municipal government plus the educational system — IFES universities, federal institutes, state secretarias), the exit interview if conducted at all is layered on top of the specific procedural requirements of the RJU (Regime Jurídico Único) or specific public-service career frameworks. For Spanish public sector, similar with the EBEP framework. The CLT framework for non-statutory employees in Brazilian public-sector contexts (workers hired under CLT rather than statutory civil service) requires the homologação process for 1+ year tenure departures.

  • High-growth scale-ups (turnover spikes during scaling)

    Scale-ups have the most-revealing exit-interview patterns in industry. When a company doubles headcount in 12 months, the cultural fabric that bound the first 50 employees doesn't automatically scale to the next 50, and the second-50 cohort experiences a structurally different org than the first-50 cohort. The result is tenure-cohort exit-pattern divergence: employees with 12+ months tenure leave for different reasons than employees with less than 12 months tenure, and the comparison reveals exactly where the scaling broke specific cultural or operational dimensions. The exit-interview at scale-up scale should explicitly capture tenure cohort as a primary segmentation dimension and surface the divergent patterns between cohorts. For Brazilian scale-ups (Nubank in scale-up era, Stone before maturation, Magazine Luiza Tech, Loft, QuintoAndar, Hotmart, Olist, MadeiraMadeira, Wildlife Studios, Pipefy, Resultados Digitais), the exit-interview discipline matures alongside the scaling itself — early-scale-up exit interviews are typically informal CEO conversations, late-scale-up exit interviews are structured HR processes with pattern analysis. The transition typically happens around the 100-200 employee mark when the CEO can no longer know every employee personally.

Run last-day interview + post-exit 30-60 day follow-up + aggregated pattern analysis

Start with the two-phase structure: last-day interview at the moment of departure, post-exit follow-up 30-60 days after. The last-day interview captures the structured departure-reason categories and the procedural off-boarding context; the post-exit follow-up captures the honesty that the last-day interview can't extract. Conduct the last-day interview through HR (or a third party for higher honesty) rather than the departing employee's manager — manager-conducted exits introduce systematic suppression on the most-actionable feedback category. Capture personal email at last-day off-boarding so the post-exit follow-up has a delivery channel. For the structured departure-reason categories, use 8-10 categories that map to your retention strategy: better opportunity (escape signal, often more about the company than the new role), compensation (specifically capturable as below-market signal), manager or leadership (the most-suppressed category — anonymous routing recommended), growth or development (career-progression signal), work-life balance (burnout signal), personal or family (often genuine, sometimes proxy), role mismatch (hiring or onboarding signal), company culture (cultural-fit signal), layoff or termination (involuntary — different intake structure typically). For manager-attribution suppression mitigation, offer optional anonymous routing for manager-specific feedback — the departing employee can choose to attach their name to overall feedback while routing the manager-specific feedback anonymously. The trade-off: anonymous manager feedback loses the ability to follow up with the specific manager based on this specific feedback, but the alternative is sanitized feedback that's not actionable anyway. For pattern analysis, aggregate exits quarterly with cross-tabulation by team, manager, tenure cohort, demographic (where re-identification thresholds permit), location, role. Surface themes that warrant intervention (three departures from one team citing the same theme is signal; one is noise). Integrate with the HR-tech stack: Lattice exit module, Culture Amp Exit, BambooHR off-boarding, Workday HCM separations, ExitLogics, Qualtrics EmployeeXM exit module for international; Convenia, Solides, Mereo, Senior Sistemas, TOTVS RH for Brazilian; Factorial HR, Personio, Sage HR Spain, Cezanne HR, Bizneo for Spanish-market. For Brazilian deployments, the exit interview workflow runs separately from the CLT rescission process (homologação, eSocial reporting, FGTS withdrawal, rescission paperwork) but the two workflows often need to coordinate timing — the HR-tech stack typically handles both with the rescission process driving the regulatory timeline. For LGPD-compliant Brazilian deployments, the exit interview data is sensitive under LGPD art. 11 and requires explicit consent + separate processing. Translate the form into the languages of your workforce.

Exit interview form FAQ

Voluntary, in almost all cases. Mandatory exit interviews produce sanitized output because the departing employee has no incentive to be honest and significant incentive to give the company what it wants to hear (positive references, alumni-network access, future-rehire possibility). Voluntary exit interviews self-select for the employees who actually want to share feedback, which produces more honest data even though the response rate is lower. The exception is layoffs and involuntary departures where the exit-interview structure is typically tied to severance and the conversation focuses on procedural off-boarding rather than feedback. For both voluntary and involuntary exits, the post-exit follow-up at 30-60 days should always be voluntary — that's where the honest signal lives, and forcing participation eliminates the honesty. For Brazilian employment specifically, the homologação process for 1+ year tenure departures is a regulatory requirement separate from the exit interview — the homologação is about validating the rescission paperwork, not capturing exit feedback, and conflating the two damages both.
HR for the standard case; third party for high-honesty environments. Manager-conducted exit interviews introduce systematic suppression because the departing employee is talking to the person whose performance is most directly being evaluated by the conversation — feedback about "my manager could have done X better" is hard to give to the manager themselves, even when that's the most-actionable feedback the team could receive. HR-conducted exit interviews remove the immediate manager-attribution dynamic but introduce HR-attribution dynamics (the departing employee knows HR will see the feedback and may share themes upward), so the honesty improvement is real but bounded. Third-party-conducted exit interviews (specialized exit-interview firms, alumni-relationship consultants) produce the highest honesty levels because the departing employee has no ongoing relationship with the interviewer and no expectation that feedback will get back to specific individuals. Cost-benefit: third-party exits cost $200-500 per interview, which is justifiable for high-impact departures (senior leaders, regretted-loss high-performers, departures from key teams) but not for every departure. The mixed pattern most mature orgs land on: HR for the standard exit interview, third-party for high-impact regretted-loss exits, post-exit follow-up at 30-60 days for everyone to capture the honesty that the at-departure interview can't extract.
Both. The last-day interview captures the procedural off-boarding context and the immediate-departure reason narrative; the post-exit follow-up at 30-60 days captures the honest signal that the last-day interview can't extract. Most teams that run both find the post-exit follow-up produces 2-3x more actionable signal than the last-day interview — the bridge is already burned, the new context lets the departing employee compare what they left to what they have, and the honesty levels are dramatically higher. The post-exit follow-up is typically sent via personal email (captured at last-day off-boarding) with a brief survey rather than a scheduled interview, with response rates in the 30-50% range at 30-60 days post-departure. The response rate drops further as time passes — 90+ days post-departure typically falls below 20% response. The sweet spot is the 30-60 day window where the new role is established enough for comparison but the original company is still fresh enough in memory for specific feedback. For Brazilian and Spanish-speaking workforces specifically, sending the post-exit follow-up in the employee's native language with cultural context dramatically improves response rates.
Optionally anonymous for the manager-attribution feedback specifically, with the overall departure-reason categories non-anonymous. The trade-off is that anonymous feedback loses the ability to follow up with specific individuals based on specific feedback, but non-anonymous feedback in the manager-specific category produces sanitized output because the departing employee doesn't want to burn bridges. The compromise pattern that works: the departing employee can choose to attach their name to overall feedback (departure reason, would-have-stayed counterfactual, recommendation likelihood, alumni-network and rehire eligibility) while routing the manager-specific and team-specific feedback anonymously. This lets HR follow up on the non-controversial categories while preserving the honesty in the most-suppressed category. For aggregated pattern analysis, anonymous routing of manager-specific feedback still allows team-level theme detection (when three anonymous comments about "my manager" all surface in one team's exit-interview cohort, that's a signal that warrants investigation) without exposing individual departing employees as the source. The third-party-conducted exit interviews handle this naturally because the third party can aggregate themes without revealing individual sources to the company.
Aggregated pattern analysis at quarterly or biannual cadence, not individual-interview-level reactions. The single most common mistake teams make with exit-interview data is reacting to individual interviews — when one departing employee says "my manager was bad," that's often a rationalization (people commonly cite manager dissatisfaction as the reason for leaving even when the actual reasons are elsewhere — better opportunity, compensation, life circumstance, etc.), but when fifteen departures from one team cite the same manager-or-leadership theme, that's signal that warrants investigation. The aggregation pattern: quarterly review of exit-interview data with cross-tabulation by team, manager, tenure cohort, demographic (where re-identification thresholds permit), location, role; surface the 3-5 themes that warrant intervention; develop action plans with named owners and timelines; track the action plan against the next-quarter's exit-interview themes to see whether the interventions moved the needle. The link to engagement-survey data is also valuable — when the same themes show up in both engagement surveys (current employees) and exit interviews (departing employees), the pattern is doubly confirmed and the intervention priority increases. The post-exit follow-up data at 30-60 days adds the comparison dimension that current-employee surveys can't capture: "the company was strong on X but weak on Y, and my new role is better on Y" is the most-actionable signal in HR analytics. For Brazilian and Spanish-speaking workforces, the language of the aggregated theme analysis matters — themes that surface in Portuguese or Spanish exit interviews but get translated into English summaries for leadership often lose the nuance that makes them actionable.

Related templates

Performance review form — built for the way reviews actually work in 2026

Performance review form template with self-assessment, manager review, OKR-based goal tracking, and calibration support.

View template

Vacation Request Form Template

Replace email chains and PTO spreadsheets with a structured vacation request form. Capture dates, coverage, manager approval, and policy acknowledgment with

View template

Internship application template — built for student programs, not general hiring

Online internship application form template for student programs. Captures school, program, availability, CV, portfolio, and work-authorization (OPT/CPT).

View template

Ready to build forms that work for you?

Create your first form in minutes. Your submissions will thank you.

Be first in lineLimited early accessSet up in 2 minutes