Spradley vs Listen Labs: AI interviews for employees
Spradley interviews employees, asks why on every answer and gives each leader a Personal Agent that never sees one person's answer or identifies anyone.
In an employee study, the people answering still work for you next week, so no one may be exposed, not by a report and not by the AI. Spradley is built for that. It interviews your people one on one by text or voice and asks a follow-up question on every answer. Each leader gets a Personal Agent that answers questions with cited evidence, launches the follow-up interview after one confirmation and reminds them of what they committed to at four and eight weeks. The agent never sees one person’s answer, numbers and ratings are never shown for fewer than five people, and it refuses to identify anyone. Listen Labs is built for customer and market research, and does that job well.
Quick verdict
| Question to ask | Listen Labs | Spradley |
|---|---|---|
| Can anyone be identified, even by the AI? | Each response shows its full transcript and recording (source) | The agent never sees one person’s answer; numbers and ratings are never shown for fewer than five people; it refuses to identify anyone |
| Who receives the answers? | Responses are shared with the organisation commissioning the study (source) | Leaders see themes and quotes from groups of five or more; sentences naming an employee are cut |
| Does it ask why on every answer? | The AI moderator asks follow-up questions | Yes, a follow-up question on every answer, by text or voice |
| Can a leader ask anything and see the evidence? | A research agent writes memos, decks and reels for the research team | A Personal Agent for each leader; every claim cites its report and quote, and a claim check removes what doesn’t match |
| Does it launch the follow-up for you? | A new study to set up | Drafts a follow-up interview on one to three themes; sent after one confirmation |
| Does it check that the action happened? | Left to the team | Reminders on each commitment at four and eight weeks until it is done |
| Does it draft the next step? | Memos, decks, charts and video reels | Readouts, root causes and a team conversation guide that quotes no one, as PowerPoint, PDF, Word or Google Docs |
Facts about Listen Labs come from its own website, help centre and privacy policies, read in November 2026. Vendors change these details, so confirm them in your contract.
What is Listen Labs?
Listen Labs describes itself on its home page as “customer research conducted, analyzed, and summarized by AI”, for insights, brand, product and UX teams. Its recruiting guide says you can also bring your own audience, including an employee panel, through a direct link. After fieldwork, a research agent writes memos, decks, charts and video reels for the research team.
What is Spradley?
Spradley runs one-on-one AI interviews with employees. People get an invitation by email or Slack, with the employee list coming from HiBob if you use it, and answer on their own phone or computer, by text or voice, in their own time. Within days the report groups the answers into themes with the quotes behind them, compared across departments and across interview rounds. Then each leader gets a Personal Agent that works on what their people said.
Can anyone be identified, even by the AI?
This is the question that separates an employee study from a customer one. In a usability test, the product team wants to watch each session. In a team of seven, a voice, a face or a turn of phrase identifies the speaker, whatever the name field says.
Listen Labs’ responses tab shows participant-level data: the full transcript, screener answers and a recording of each session. Its study privacy policy says responses are shared with the organisation commissioning the study, and in employee research that organisation is the employer. That is how customer research is normally reviewed.
In Spradley, privacy is built into the agent, not left to a setting:
- It never sees one person’s answer. The Personal Agent works only from released reports: themes, claims and quotes.
- No numbers or ratings for groups under five. Numbers and ratings are never shown for fewer than five people, a privacy judge checks each written finding, and it won’t narrow a group with a file you add.
- Names are cut. Sentences that name an employee are removed.
- It refuses. Ask it who said something, which team to cut, or who is likely to leave, and it declines. It will not identify anyone or monitor loyalty or intent to leave.
The database is in Frankfurt and the AI runs in Google Cloud EU regions, which is what a works council will ask about next. Our posts on anonymity thresholds and works councils and GDPR for employee interviews cover the rest.
Does it ask why on every answer?
Spradley’s interviewer asks a follow-up question on each answer, so “the handover is chaos” becomes which handover, what goes wrong and how often. You get reasons, not a score.
Can a leader ask anything and see the evidence?
Yes, in plain language: “what do the night shift say about handovers?” Every claim in the answer cites the report and the quote it rests on. A claim check removes any figure or quote that doesn’t match the evidence, and the agent says plainly what the evidence does not show. Our post on Personal Agent shows it at work.
Does it launch the follow-up for you?
When the evidence is missing, the Personal Agent drafts a follow-up interview on one to three themes. The leader sends it after one confirmation, and the new report joins the others. There is no new research project to brief.
Does it check that the action happened?
An employee study is only worth running if people see something change. A leader saves what they committed to, and reminders come at four and eight weeks until it is done. The agent also drafts the next step: a readout, a deep dive, a root cause or a conversation guide for the team that quotes no one, ready as PowerPoint, PDF, Word or Google Docs.
Where does each one fit?
Listen Labs is built for research with customers and users. When the people you interview work for you, Spradley was designed for the job. See how it works on our HR page, or read best AI interview tools for employee research for the wider shortlist.
Frequently asked questions
Is Listen Labs good for employee research?
Listen Labs is built for customer and market research. You can invite employees by direct link, but each response shows its full transcript and recording, and responses are shared with the organisation commissioning the study, so plan how you will protect small teams.
What should I use instead of Listen Labs for employee interviews?
A tool built for employees. Spradley asks a follow-up question on every answer, never shows numbers or ratings for fewer than five people, and gives each leader a Personal Agent that never sees one person's answer.
Can Spradley's AI identify an employee?
No. The Personal Agent works only from released reports, sentences naming an employee are cut, and it refuses to identify anyone, pick a team to cut or monitor intent to leave.
What happens after the results come in?
Each leader asks their Personal Agent questions and gets cited answers. When evidence is missing, it drafts a follow-up interview sent after one confirmation, and it reminds the leader of each commitment at four and eight weeks.
Key terms
- AI-moderated interview
- A one-on-one conversation run by software, where the interviewer asks a follow-up question based on each answer.
- Minimum group size
- The fewest people who must answer before results for a group are shown. It protects individuals in small teams.
- Personal Agent
- Spradley's AI agent for each leader. It answers questions about what people said with cited evidence and drafts the next step, never seeing one person's answer.
- Follow-up interview
- A short interview on one to three themes, drafted when the evidence is missing and sent after the leader confirms. Its report joins the others.
- Claim check
- A step that removes any figure or quote in an answer that doesn't match the evidence it cites.
