Short answer
Exit interview software should make it easier to collect useful accounts, protect access, analyze themes consistently, and assign reviewed actions. Buy against a written workflow rather than a feature list: test the departing employee's experience, the reviewer's evidence trail, small-group reporting, retention controls, exports, integrations, and the work required after launch.
A polished dashboard cannot repair an unclear purpose or an unsafe reporting design. Decide first what the organization wants to learn, who may see the source material, and which decisions the resulting analysis may inform.
Start with the job the system must do
Exit tools often sit inside a wider offboarding suite, an HR system, an employee listening product, or a qualitative research workflow. Those categories solve different problems.
Write a one-sentence job before comparing products. For example:
Collect comparable accounts from voluntary leavers across UK service locations, help the People team review recurring onboarding and progression themes, and assign process actions without sending raw responses to line managers.
That statement establishes the population, geography, themes, review team, action type, and access boundary. It is more useful than a requirement such as "AI-powered analytics."
Acas says an exit interview can help an employer understand why someone is leaving and inform changes to recruitment or retention. The same guidance gives a concrete example: repeated reports that a job differed from expectations may justify clearer job adverts. See Acas guidance on exit interviews. Your requirements should connect collection to decisions at that level of specificity.
Map the complete workflow
Ask each vendor to demonstrate the same sequence:
- Select an eligible departing employee without exposing unrelated worker records.
- Send an invitation that explains purpose, access, optionality, and timing.
- Let the participant use the supported device, language, and accessibility options.
- Collect structured answers and relevant follow-up without pushing for disclosure.
- Route urgent or exceptional content according to the employer's stated process.
- Restrict source access by role and purpose.
- Code themes while preserving a reference to the underlying passage.
- Apply small-group rules before reporting a cohort.
- Let an authorized reviewer correct or qualify a theme.
- Assign an action, owner, and review date.
- Apply retention, deletion, and export rules.
A vendor that can show only steps three and eight is demonstrating a form and a dashboard, not the operating process around them.
Use a requirements matrix
Separate mandatory requirements from preferences before the demo. Record how each requirement was verified.
| Area | Requirement to test | Evidence to request |
|---|---|---|
| Participant journey | Clear notice, usable invitation, save and resume, accessibility, supported languages | Complete the journey as a fictional leaver |
| Question design | Standard core questions plus controlled follow-up | Show who can edit questions and how changes are versioned |
| Source access | Role-based access to identifiable or raw material | Log in as HR, line manager, analyst, and administrator |
| Small groups | Defined behavior below the reporting threshold | Create a cohort with too few responses and observe every view |
| Analysis | Codes, themes, exceptions, and source references | Trace one summary statement back to the relevant passages |
| Human review | Correction, qualification, and approval of generated output | Edit a proposed theme and inspect the audit history |
| Action workflow | Owner, decision, review date, and status | Follow a fictional theme through to a recorded decision |
| Records | Configurable retention and defensible deletion | Change a policy in a test environment and review the result |
| Portability | Usable export of required records and metadata | Inspect a sample export rather than a slide |
| Integration | Documented systems, fields, direction, frequency, and failure handling | Run a test or inspect current technical documentation |
| Security | Authentication, permissions, logs, incident process, subprocessors | Review the relevant documents and control evidence |
| AI | Intended use, test method, known limits, human oversight | Review an evaluation report and several failure examples |
Mark a feature "verified" only when you see current product behavior or documentation. A roadmap statement, custom services proposal, or partner logo is a different status.
Test the participant experience
Use a fictional scenario that contains ambiguity but no real employee data:
Jordan is leaving a regional service role after 20 months. The stated reason is a new opportunity. Jordan also describes changing schedules, unclear progression criteria, and one supportive manager practice. One answer is incomplete, and one topic should not be shared with the line manager as raw text.
During the test, check:
- whether the notice says who can see what;
- whether the questions distinguish voluntary feedback from required offboarding tasks;
- whether follow-up clarifies the work context without pressuring Jordan;
- whether the participant can skip a question;
- whether the system handles an unsupported language or accessibility need honestly;
- whether the completion message explains what happens next;
- whether the line-manager view contains a brief rather than the source response.
Do not use your own employees' records in an early vendor demo. Synthetic content lets several reviewers test the same edge cases without widening access to personal information.
Test the analysis, not the animation
Give every shortlisted system the same small set of fictional transcripts. Include:
- two passages that use different words for the same work issue;
- one passage that fits two themes;
- one clear counterexample;
- one unsupported causal statement;
- one empty or off-topic response;
- one small cohort that should not be shown separately.
Ask the tool to produce a theme summary. Then check whether it:
- distinguishes direct statements from analyst interpretation;
- retains qualifying words and disagreements;
- links the summary to the correct passages;
- reports the participant and response denominators;
- avoids treating multiple passages from one person as multiple people;
- lets a reviewer correct the output;
- keeps a record of that correction.
For the manual framework behind this test, see how to code exit interview data.
Evaluate confidentiality as a system property
"Confidential" can mean several different things: restricted source access, aggregate reporting, a commitment not to attribute comments, or a contractual duty. Ask the vendor and your own legal or privacy team to define the word for this program.
The ICO says organizations should tell workers why information is collected, the lawful basis, retention periods, recipients, rights, and other key uses. It also says worker records should be fair, lawful, transparent, and limited to justified purposes. See the ICO employment records guidance.
Test these questions:
- Can an administrator retrieve a single response even when a dashboard is aggregated?
- What can a manager, HRBP, central analyst, vendor support agent, and system administrator see?
- Does a threshold apply to every chart, filter, export, notification, and API response?
- Can combinations of location, role, date, and free text identify the speaker?
- What happens if the account describes harassment, illegality, safety risk, or another matter the employer may need to escalate?
- How are access and exports logged?
- When are source records deleted, and what remains in backups?
A minimum cohort size reduces one disclosure route. It does not guarantee anonymity when colleagues already know who left. The confidential exit interview guide provides a notice and access worksheet.
Evaluate AI as a bounded assistant
AI may ask follow-up questions, propose codes, group passages, or draft a summary. Require a defined intended use for each function. Do not accept one general statement that "the AI is accurate."
NIST recommends documenting scope, knowledge limits, human roles, test methods, representativeness, uncertainty, and performance in conditions similar to use. See the NIST AI RMF Core. Ask for:
- the task being evaluated;
- the test population and languages;
- examples of false grouping, omission, and unsupported inference;
- how updates are evaluated before release;
- how reviewers report and correct failures;
- whether output can trigger another workflow automatically;
- who remains accountable for employment decisions.
The AI exit interview guide contains a practical test set for collection and analysis features.
Check records, portability, and integration claims
Write the required record set before discussing integrations. It might include invitation status, consent or notice version, response, source references, codebook version, reviewer change, decision owner, and retention status. Keep only what your purpose and obligations require.
For every integration, record:
| Question | What a useful answer contains |
|---|---|
| Which system? | Product and current supported version |
| Which direction? | Inbound, outbound, or both |
| Which fields? | Exact objects and fields, including identifiers |
| How often? | Event-driven, scheduled, or manual |
| What fails? | Retry, alert, reconciliation, and ownership |
| What permissions? | Service account scope and administrator roles |
| What is retained? | Copies, logs, backups, and deletion behavior |
Do not infer an integration from a logo. If your procurement depends on an export, inspect the file and import it into the receiving system during the trial.
Compare total operating effort
License price is only one part of the decision. Estimate the work required to:
- define purpose and notices;
- create and translate questions;
- configure eligibility and invitations;
- administer access;
- review AI-assisted coding;
- handle exceptional disclosures;
- prepare leadership reports;
- assign and follow actions;
- maintain integrations;
- answer participant requests;
- change retention policies;
- retrain owners when the process changes.
A flexible product can demand more governance work. A highly standardized product can make a local requirement impossible. Make that tradeoff visible instead of hiding it inside implementation.
Use a decision record, not a vendor ranking
Score only after the scenario tests. Weight requirements according to the stated job, and add a written reason for every exclusion. A simple record should contain:
- decision and date;
- participating functions;
- intended population and jurisdictions;
- mandatory requirements;
- demonstrated limitations;
- privacy and legal review status;
- integration assumptions still untested;
- implementation owner;
- trial success and stop conditions.
The U.S. Office of Personnel Management describes exit surveys as a way to capture motivations, organizational strengths and challenges, and suggestions for retention, while allowing customization for a specific organization. That is a useful reminder to test the fit between standardized comparison and local questions. See OPM organizational assessment services.
Where Lontra may fit
Lontra is an employee conversation platform, not a dedicated exit-management product, offboarding suite, or HR system of record. A buyer can evaluate one focused campaign, up to 30 invitations over 60 days with no credit card, to test the conversation, review, and manager-brief experience.
Review the current platform capabilities, then use the trial to run the fictional procurement case above. List required exports or integrations in the matrix and verify them separately. In Lontra's current public model, managers receive a brief rather than raw employee responses, while aggregate HR views use a minimum of five respondents. The threshold is a reporting control, not a guarantee of anonymity.



