Spradley vs Leapsome: Surveys or Reasons?
Spradley vs Leapsome on one workplace problem: what each tells you, what each does when the cause is still unknown, and whether to keep, add or replace.
Spradley vs Leapsome is really a choice about what you are missing. Leapsome is a people platform: reviews, goals and OKRs, and engagement surveys with AI that sorts the comments. Spradley runs a one-to-one conversation with each person, led by an AI interviewer, to find the cause behind a result and turn it into something a leader acts on. If Leapsome already runs your reviews and goals, leave them there. The open question is who explains a survey result when the comments don’t.
We make Spradley, so read this as our side of the comparison. It leaves out reviews, goals, benchmarks, integrations and pricing. Everything said about Leapsome comes from its own product pages and its guide to Leapsome AI features, which we read on 10 November 2026. Its help centre blocked our requests, so features described only there are missing. Check the current pages before you decide, and write to us if something here is out of date.
Key takeaways
- Leapsome is built to run the whole people cycle. Spradley is built for the step after a result arrives: why, and then what.
- A survey gives a number and whatever people chose to type. An interview asks a follow-up on each answer to get at the reason.
- Leapsome lets you hold an anonymous conversation with employees about their responses. Spradley writes a whole follow-up interview when a report has no answer to a leader’s question.
- Keep Leapsome for anything about one person. Add Spradley for anything about a group whose reason you can’t yet state.
What is each one built to do?
Leapsome offers performance reviews, tracking of company, team and individual goals and engagement, onboarding, project and pulse surveys. Surveys can repeat on a schedule, anonymity is configurable, and eNPS can be followed from round to round, and results compared with industry peers. Its AI agents know each person’s goals and feedback and get managers ready before a one-to-one or a review.
Spradley does one job in that chain. Each invited employee has a written or spoken conversation with an AI interviewer, knowing it is an AI, and every answer gets a follow-up aimed at the reason behind it. Leaders then question the results through a Personal Agent, their own AI agent over their interview reports, and each point it makes cites the area, claim or quote it stands on.
What happens when one problem goes through both?
Picture a group of veterinary clinics, made up for this article. In the autumn survey, vet nurses across the group score low on whether their skills are put to good use. By January the practice manager must decide whether next year’s budget goes on more nurse-led consults, more support staff or neither, and all she has from the comments is one line in her notes: “nurses frustrated, skills”. She doesn’t know if it is the reception work they cover, how vets delegate, too few nurse appointments or training.
What does Leapsome tell her?
Where it hurts, and fast. Leapsome’s survey AI turns open answers into themes she can sort by sentiment and filter by clinic, and it points out what moved since the previous round. It proposes follow-up actions, which she can edit, drop or keep before managers see the plan.
That works when the nurses typed the cause. Suppose the main theme reads “workload” with negative sentiment. Is it covering reception, cleaning between consults, vets who won’t hand over tasks, or appointment slots too short to do the job well? The theme names the topic. A plan built on the topic is a guess with a due date.
Leapsome does give her a way to dig. Its engagement page says you can hold anonymous conversations with employees to find the reasons behind what they answered. That is a real way to learn more, and it starts from a response someone already gave. The Leapsome pages we reviewed on 10 November 2026 don’t describe an AI interviewer asking employees follow-up questions, or a leader’s question turning into a drafted follow-up interview.
What does Spradley tell her?
She would invite the vet nurses, and nobody else. Each gets a personal link and starts without a password. When a nurse says “it’s the workload”, the interviewer asks what about the workload, and keeps going from her answer. A nurse who wants to say little can skip a question or keep it short, and the interview moves on without pushing.
The report gives each area one finding in three parts: what the nurses observe, what they believe causes it, and what they would change. With a small group of nurses, how common something is comes in words, so a handful of people never turns into a shaky percentage, and ratings are never shown for fewer than five people. This clinic group is invented, so we won’t pretend to know its findings. What we can say is the form the answer takes: a cause, in the nurses’ terms, with proposals attached.
Two weeks later the finance director asks which proposal the nurses would keep if only one could be funded. The practice manager can put the question to the report even though it wasn’t planned: the engine rereads the raw answers and, within minutes, returns only claims that pass its accuracy and privacy checks. She never sees the transcripts. If the answers can’t settle it, Personal Agent writes her a follow-up interview: a brief, an introduction and up to three themes. She edits it in plain words or bins it. It must go to at least five people and waits for her confirmation. The replies come back as a new report, and the agent reads it alongside the first.
Where do they differ when the cause is still unknown?
| When this happens | Leapsome | Spradley |
|---|---|---|
| The result lands | Scores, eNPS trend, AI themes from comments with sentiment and change since last round | One finding per area: what is observed, its causes as people tell them, their proposals |
| A comment names a topic, not a cause | An anonymous conversation with the person who answered | The interviewer already asked why, in the moment, for every answer |
| A leader asks something nobody planned for | Pages we reviewed on 10 November 2026 don’t describe it becoming a drafted follow-up interview | The report is reread, or Personal Agent prepares a follow-up interview that waits for her go-ahead |
| It is time to act | AI-suggested actions you review before managers get the plan | Two to five small experiments per report, plus commitments with reminders at four and eight weeks |
Should you keep Leapsome, add Spradley, or replace something?
Sort by what the decision is about, then by what you know. Use this rule on the last three survey results that ended up in an action plan.
- Keep everything in Leapsome that is about one person: reviews, goals, one-to-one preparation. Interview findings describe groups and should never feed a review. Personal Agent refuses to make decisions about individuals and cannot reach any one person’s answers, so a nurse has less reason to hold back.
- Add Spradley for a group result where nobody can say the cause in one sentence that the people concerned would agree with. Run it for that group only. Spradley warns you before sending if the group is too small to get a report.
- Replace the engagement survey only if every recent result needed a follow-up of this kind anyway. Spradley can still give you a number: it measures engagement with the published three-item Utrecht Work Engagement Scale, and eNPS if you want it, and then asks about the rating without being told the score. Before you switch, check who in your company relies on Leapsome’s survey reports today.
In our view, the second answer fits most cases. If a result has fallen and you want the method first, our guide on tracing why engagement scores dropped walks through it.
What happens once the cause is known?
The budget needs a decision, not a theme. A Spradley report names the one or two conversations to have first and when to look again. It also proposes between two and five modest experiments, each ready to start inside a fortnight, with someone responsible, a rhythm and a signal of success, and none of them is another survey or a workshop. When the practice manager saves a commitment out of a write-up, Spradley sends her a reminder email at four weeks and at eight, until she marks it done.
You can still track the agreed action in Leapsome if that is where your managers work. For the same test run on another platform, see Spradley vs Lattice, and for how far our AI goes with what employees say, read our constitution.
Sitting on a Leapsome theme with no cause behind it? See how Spradley interviews the people behind an unexplained survey theme.
Frequently asked questions
Is Spradley a Leapsome alternative?
Only for part of what Leapsome does. Leapsome runs reviews, goals and engagement surveys. Spradley interviews employees one to one with AI and helps leaders act on what they hear, so you can keep Leapsome and add Spradley where a survey result has no clear cause.
Does Leapsome use AI to analyse survey comments?
Yes. Leapsome says its survey AI turns open text into themes you can sort by sentiment and filter by team or location, shows what changed since the last round and suggests actions. You can review, edit or ignore the suggestions before managers see a plan.
Can Spradley and Leapsome run side by side?
Yes. Leave reviews and goals in Leapsome and invite only the group behind an unexplained result to a Spradley interview. People can be imported from a CSV file or Slack. Keep interview findings out of individual reviews.
Does Spradley give an engagement score?
Yes. It uses the published three-item Utrecht Work Engagement Scale, and eNPS if you want it. The interviewer then follows up on the rating to get the reason, and it is never shown the number.
Key terms
- Follow-up interview
- A short Spradley interview of up to three themes, drafted by Personal Agent when a report can’t answer a leader’s question, and sent only after the leader confirms.
- Personal Agent
- A leader’s own AI agent in Spradley. It answers questions across that leader’s interview reports and cites the evidence behind each point.
