Userology Pricing at a Glance
Userology does not publish pricing. The pricing page carries no session rates, no plan tiers, and no per-study numbers — the path forward is a free trial or a demo, after which an engagement is quoted. This is the single most important fact for a buyer to internalize before an evaluation: the cost of a Userology study is not knowable from public information.
What buyer-reported references do describe is the shape of the model. Userology uses custom session-based quoting. The price of an engagement varies with participant volume, geography, and session duration, and larger engagements are framed around enterprise procurement. There is a free trial for an initial look and a demo for a guided walkthrough, but production-scale work routes through a scoped quote. There is no publicly disclosed annual platform fee and no published volume-discount curve.
For a buyer, the practical consequences are concrete. Total cost cannot be modeled before a scoping conversation. Two studies of similar interview count can carry different quotes depending on market mix and session length. And there is no public anchor — no list price — against which to sanity-check the number that comes back. None of this means Userology is expensive or cheap; it means the cost is opaque until scoping, and a buyer should plan the evaluation timeline around that.
| Pricing element | Userology |
|---|---|
| Published rates | None — no rates on the pricing page |
| Pricing model | Custom session-based quoting |
| What drives the quote | Participant volume, geography, session duration |
| Annual platform fee | Not publicly disclosed |
| Volume-discount curve | Not published |
| Free trial | Yes — entry point for evaluation |
| Demo | Yes — guided walkthrough |
| Procurement framing | Enterprise procurement for larger engagements |
| Panel | 15M+ network included, AI-led screening built in |
| Languages | 40+ supported |
| Self-serve checkout | No — engagements are scoped and quoted |
The Components of Userology Pricing
A session-based quote is not a single line item; it bundles several cost components, and understanding them helps a buyer read a quote and ask the right scoping questions.
Session fee. The core of the model is the cost per usability session. This is where participant volume and session duration land most directly — more sessions and longer sessions raise the number. Because Userology runs task-based usability testing with a vision-aware moderation layer and eye-tracking, each session carries the compute and infrastructure cost of computer-vision interaction analysis, not just AI moderation. The session fee is the component a buyer should ask to see broken out first.
Panel access. Userology’s 15M+ participant network with AI-led screening is included rather than bring-your-own-required, which is a genuine convenience — there is no separate panel vendor to contract. But geography is a stated quote driver, so reaching specific or hard-to-find audiences across particular markets can move the number. A buyer running multi-market usability testing should ask explicitly whether panel access is flat across markets or priced by market difficulty.
Custom services scope. The remainder of a quote covers whatever sits around the sessions: study design support, multi-language setup across the 40+ supported languages, cross-platform coverage spanning Android, iOS, Web, and Figma, and the synthesis and reporting layer. Larger engagements add the enterprise procurement wrapper — contracting, security review, account management. Because these are scoped per engagement rather than listed, the same nominal study can carry different totals depending on how much custom services scope it pulls in. The scoping conversation is where a buyer should pin down what is bundled and what is an add-on.
What Does a Userology Engagement Buy You?
It is fairer to read a Userology quote as the price of a capability bundle than as a raw session count. The number a buyer receives is paying for several things at once.
It buys vision-aware AI moderation — the defining capability. An AI interviewer is paired with a computer-vision layer that reads the participant’s screen and an eye-tracking integration, so the deliverable is usability friction anchored to specific interface moments rather than to verbal answers alone. For a product team evaluating an interface, that visual evidence is the artifact, and it is not something an audio-only or chat-only platform produces.
It buys an included 15M+ participant network across 100+ industries with AI-led screening and vetting built in. The buyer is not assembling an audience or contracting a separate panel vendor; the recruitment workflow is folded into the engagement.
It buys multi-language and cross-platform reach. With 40+ languages supported and testing across Android, iOS, Web, and Figma, a single engagement can cover mobile and web usability across several markets, with the vision layer carrying visual context into each one.
And it buys task-based usability synthesis — eye-tracking evidence, interaction analysis, and task-completion metrics such as SUS and NPS, combined with AI interview synthesis into themed findings.
The honest framing: a Userology engagement buys a strong usability artifact. What it does not buy is motivational depth — the why-customers-decide research object that needs systematic conversational laddering rather than vision-aware probing — or a queryable knowledge layer that compounds findings across studies. A buyer should price the engagement against the artifact it actually produces.
How Does Userology’s Cost Scale by Research Frequency?
Because Userology does not publish rates, the table below cannot state real dollar figures — instead it describes how the cost shape behaves as research frequency rises, against buyer-reported descriptions of the model. The pattern is roughly linear: each engagement is its own quote, with no disclosed annual base to amortize and no published volume-discount curve.
| Studies per year | Userology cost shape (buyer-reported model) |
|---|---|
| 1 | One scoped quote. No annual base to spread; the engagement stands alone. |
| 2 | Two separate quotes. Scoping repeats per engagement; no disclosed multi-study discount. |
| 5 | Five quotes. Cost rises roughly linearly; volume-discount terms, if any, are negotiated, not published. |
| 10 | Ten quotes. At this cadence a buyer should ask for an annual or volume agreement, but none is publicly listed. |
| 20 | Twenty quotes or a negotiated enterprise agreement. Procurement framing becomes the default at this volume. |
| 50 | Enterprise agreement territory. Cost is fully negotiated; transparency depends entirely on the contract terms. |
The buyer takeaway: under a per-engagement model with no published floor, a team running occasional usability checks and a team running continuous research both face the same scoping cycle every time, and neither can forecast a year of spend from public information. Whether that is acceptable depends on procurement maturity — an organization comfortable with custom-quoted vendor relationships absorbs it easily; a distributed team that needs to budget research without a sales conversation will find it a friction point.
When Is Userology’s Pricing Worth It?
The custom-quote model is not a flaw — for the right buyer it is the natural shape of the relationship. There are clear cases where a Userology engagement justifies itself.
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The deliverable is vision-aware usability evidence. When the research artifact a team genuinely needs is eye-tracking data, computer-vision interaction analysis, and task-completion metrics tied to a specific interface, the engagement buys exactly that artifact. A platform that only runs conversations cannot produce it, so the quote is paying for a capability with no cheaper substitute.
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Multi-market mobile and web usability is a recurring need. Teams shipping across Android, iOS, Web, and Figma in several markets get real value from an included 15M+ panel and 40+ language support folded into one engagement — the alternative of contracting regional panels and stitching tooling together carries its own cost.
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The organization is comfortable with enterprise procurement. For a buyer whose vendor relationships already run through scoping, security review, and contracting, the custom-quote model is familiar rather than friction. The opacity of public pricing is a non-issue when procurement is the normal path anyway.
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Usability testing is occasional and project-shaped. A team that runs a discrete usability study a few times a year, with no need for a compounding knowledge layer, fits the per-engagement model cleanly — there is no annual floor being wasted between studies.
Where the model works against a buyer is the inverse of these: continuous high-cadence research, a need to budget without scoping, or a research object that is motivational rather than usability. For those buyers, a published per-study model is the better structural fit.
How Does User Intuition’s Pricing Compare?
The clearest contrast between the two platforms is published versus quoted. Userology’s cost is opaque until a scoping conversation; User Intuition’s cost is on the pricing page before a buyer talks to anyone.
User Intuition is sold like self-serve software. The Pro plan headline is $20 per audio interview, with $40 per video interview and $10 per chat interview. A 10-interview study is $200. Three free interviews come with signup and require no credit card. There is no annual contract — a team pays per study, scaling spend up or down with how much research it actually runs.
That structure changes the buyer’s evaluation in three ways. First, modelability: a buyer can calculate the full cost of a year of research from the pricing page — interview count times modality rate — without a sales conversation. Second, no floor: because there is no annual platform fee, a team running occasional research is not paying for capacity it does not use, and a team scaling up is not renegotiating a contract. Third, try-before-buy: the three free interviews let a buyer validate the platform against a live research question before any spend, which is a different evaluation path from a bounded free trial that still routes production work through a quote.
Beyond price structure, the published rate buys a 4M+ vetted panel across 50+ languages, themed results in 24-48 hours, 98% participant satisfaction, and a Customer Intelligence Hub that indexes every interview into a queryable corpus. The platform carries 5/5 ratings on G2 and Capterra. The pricing is transparent, but it is transparent pricing for a different research object than Userology’s — adaptive motivational depth rather than vision-aware usability.
How Do Userology and User Intuition Compare on Cost by Research Frequency?
Because Userology does not publish rates, a true dollar-for-dollar table is impossible — but the cost shapes are directly comparable, and the shape is what determines budget predictability.
| Studies per year (10 interviews each) | User Intuition (published) | Userology (buyer-reported model) |
|---|---|---|
| 1 | ~$200 | One scoped quote |
| 2 | ~$400 | Two scoped quotes |
| 5 | ~$1,000 | Five scoped quotes |
| 10 | ~$2,000 | Ten quotes or a negotiated agreement |
| 20 | ~$4,000 | Negotiated enterprise agreement |
| 50 | ~$10,000 | Fully negotiated enterprise agreement |
User Intuition figures assume audio interviews at the $20 Pro rate; a video-heavy mix raises the number, a chat mix lowers it, and all of it is modelable in advance. The analytical point is not that one column is smaller — Userology’s column has no numbers to compare — it is that one column exists before a sales conversation and the other does not. For a research practice that needs to forecast spend, defend a budget, or let distributed teams run studies without procurement gatekeeping, a modelable cost curve is itself a feature. For a practice that runs occasional usability engagements through a comfortable procurement function, the quoted model is workable. The frequency axis is where the two pricing philosophies diverge most sharply.
Calculate your team’s cost with the live slider — adjusts for interview count, modality, and panel choice in real time. Open the pricing calculator →
How to Choose Between Userology and User Intuition
The pricing decision is downstream of two questions: what research object you have, and how your organization buys software.
By research object:
| Research object | Better fit |
|---|---|
| Interface usability friction with visual evidence | Userology |
| Why customers decide, churn, or convert | User Intuition |
| Eye-tracking and on-screen interaction signal | Userology |
| Motivational depth that compounds across studies | User Intuition |
By procurement model:
| Buying preference | Better fit |
|---|---|
| Comfortable with custom-quoted, scoped engagements | Userology |
| Wants published rates and self-serve checkout | User Intuition |
| Enterprise procurement is the normal path | Userology |
| Distributed teams budget research without sales calls | User Intuition |
Total cost of ownership. Headline price is only part of the picture. A buyer should also weigh the calendar cost of scoping (a quote takes time that a published rate does not), the opportunity cost of an unmodelable budget (research that does not get run because cost is uncertain), and the compounding value of the knowledge layer (a queryable corpus reduces the cost of every future study by not re-asking answered questions). Userology’s true cost includes the procurement runway; User Intuition’s true cost includes nothing beyond the published per-study rate. Both should be priced against the artifact they produce — vision-aware usability evidence on one side, adaptive motivational depth with a compounding hub on the other.
Already Evaluating Userology? Run the Same Question First
A buyer mid-evaluation on Userology has a low-cost way to calibrate: run the same research question on User Intuition before the Userology quote even arrives.
Step 1 — Sign up and use the three free interviews. No credit card. Pick a real research question the team needs answered and launch a small study against the 4M+ vetted panel.
Step 2 — Let it field. Themed results land in 24-48 hours from launch — no scoping conversation, no quote, no procurement step in the critical path.
Step 3 — Read the output against your Userology expectation. Compare what each platform produces on the dimensions that matter to your decision.
Evaluate the output on four dimensions:
- Depth — does the adaptive 5-7 level laddering reach the why behind a behavior, or stop at the what?
- Speed — how does 24-48 hours from launch compare to the Userology runway including scoping and quoting?
- Cost clarity — was the User Intuition cost knowable up front, and could you model a full year from the pricing page?
- Knowledge persistence — does the Customer Intelligence Hub let you query across studies, or does each one stand alone?
Run your real research question on three free interviews — no card, results in 48 hours. Start free →
Bottom Line for Most Teams
Userology and User Intuition price two different research objects, and the right answer follows the object.
Choose Userology if:
- The deliverable is vision-aware usability evidence — eye-tracking, computer-vision interaction analysis, task-completion metrics
- The team runs mobile and web usability testing across Android, iOS, Web, and Figma
- Multi-market usability testing where visual context per market matters is a recurring need
- Your organization is comfortable with custom-quoted engagements and enterprise procurement
- Usability research is occasional and project-shaped, with no need for a compounding knowledge layer
Choose User Intuition if:
- The research object is customer motivation — why people choose, churn, or convert
- You want published pricing you can model before any sales conversation — $20 per audio interview, $200 per 10-interview study
- You want to test the platform on a live question first — three free interviews, no credit card
- Distributed teams need to run research without procurement gatekeeping
- You want insights that compound in a queryable Customer Intelligence Hub across every study
- Themed results in 24-48 hours, 98% participant satisfaction, and 5/5 on G2 and Capterra matter to the decision
For most teams the deciding question is simple: is the artifact you need a usability heatmap or a motivational map? Userology builds the first; User Intuition builds the second. Price each against the artifact it actually produces, and the pricing model — quoted or published — sorts itself out.
Three free interviews. No card. 5 minutes to launch. 5/5 on G2 and Capterra. Try User Intuition → · Compare Userology vs User Intuition → · Read the Userology review → · 7 Userology alternatives compared →