{"site":{"name":"Koji","description":"AI-native customer research platform that helps teams conduct, analyze, and synthesize customer interviews at scale.","url":"https://www.koji.so","contentTypes":["blog","documentation"],"lastUpdated":"2026-06-07T15:14:20.492Z"},"content":[{"type":"blog","id":"15614bb2-96ff-4e5c-b393-744420b9accb","slug":"koji-vs-lyssna-2026","title":"Koji vs Lyssna: AI-Moderated Interviews vs Unmoderated Design Testing (2026)","url":"https://www.koji.so/blog/koji-vs-lyssna-2026","summary":"A detailed comparison of Koji and Lyssna (formerly UsabilityHub) covering core capabilities, use cases, pricing models, and the fundamental difference between AI-moderated interviews (Koji) and unmoderated design testing (Lyssna). Helps teams decide which tool fits their research goals.","content":"
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Lyssna (formerly UsabilityHub) and Koji both live in the research technology category, but they are solving fundamentally different problems. Lyssna answers: \"Does this design work as intended?\" Koji answers: \"Why do customers buy, churn, or choose a competitor?\" Confusing these two jobs-to-be-done leads to the wrong tool — and research programs that look busy but produce shallow insight.

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This comparison breaks down what each platform does best, where each hits its ceiling, and how to make the right choice for your team in 2026.

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The Core Difference in One Sentence

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Lyssna tells you what users do. Koji tells you why they do it.

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Lyssna is an unmoderated UX research platform built around task-based tests — five-second tests, first-click tests, preference tests, card sorting, and prototype testing. Participants complete a task and leave. You see aggregate behavioral data: where they clicked, which design they preferred, how fast they navigated. What you do not hear is the reasoning, the hesitation, or the emotional context behind those choices.

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Koji conducts AI-moderated voice and text interviews that go deep. When a participant expresses a concern, the AI follows up. When they give a vague answer, it probes. The result is the kind of rich qualitative insight — the \"why behind the what\" — that transforms product and business decisions.

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What Lyssna Does Well

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Lyssna (rebranded from UsabilityHub in 2023) has built a strong product around fast, lightweight design validation. Its core strengths are:

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If your team is iterating on designs weekly and needs fast preference data or navigation validation, Lyssna delivers exactly that.

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Where Lyssna Hits Its Ceiling

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Lyssna is explicitly designed for quick, lightweight validation — and its own positioning reflects this. That design philosophy creates structural limitations for teams that need deeper insight:

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What Koji Does That Lyssna Cannot

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Koji is built for a different category of research problem: understanding the motivations, emotions, and reasoning behind customer behavior. Key capabilities that have no equivalent in Lyssna:

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Head-to-Head Comparison

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
FeatureLyssnaKoji
Unmoderated task tests (click, preference, 5-sec)Yes — core productNo
Card sorting and tree testingYesNo
Prototype testing (Figma)YesNo
AI-moderated async interviewsNoYes — core product
Async voice interviewsNoYes
Live moderated sessionsVia Zoom (not native)No
AI synthesis and theme detectionBasic summaries onlyFull thematic analysis
Structured question types (scale, choice, ranking)Limited (surveys only)6 types, natively integrated
Built-in panelYes (690K+ panelists)Yes
Research repositoryNoYes (insights dashboard)
CRM / CSV import for own participantsBasicYes
Pricing modelSubscription + $1/min/participant panel creditsCredit-based (voice: 3 credits, text: 1 credit)
Primary use caseDesign validation, UX testingCustomer research, product discovery, win/loss
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Pricing Comparison

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Lyssna restructured its pricing in November 2025, separating the platform subscription from panel access into two independently priced components:

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Koji uses a credit-based model:

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For teams running qualitative interviews at any meaningful scale, Koji's credit model is significantly more predictable than Lyssna's per-minute panel billing.

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When to Use Lyssna

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Lyssna is the right choice when you need to answer design and usability questions quickly:

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If your question is \"which design performs better?\" or \"can users find what they're looking for?\", Lyssna is built for exactly that.

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When to Use Koji

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Koji is the right choice when behavioral data is not enough — when you need to understand the reasoning, motivation, and emotional context behind customer decisions:

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If your question is \"why do customers choose us, leave us, or behave this way?\", Koji is designed for that investigation. Explore Koji's study creation guide or read more in the definitive guide to AI voice interviews.

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Can You Use Both?

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Many mature research teams do. The workflow looks like this:

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  1. Koji for discovery: Run AI-moderated customer interviews to identify the problems worth solving and understand user motivations deeply.
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  2. Lyssna for validation: Once you have concepts, run preference and usability tests to confirm that the design executes on the insights from discovery.
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  3. Koji for evaluation: After launch, run AI-moderated feedback interviews to understand what worked, what did not, and what to build next.
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This is the \"why-then-what\" research loop: Koji surfaces the underlying motivation; Lyssna validates whether your solution addresses it correctly. Used together, they cover more of the research lifecycle than either tool alone.

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The AI Gap Is Not Cosmetic

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It is worth being direct about the difference in AI maturity between the two platforms. Lyssna has added AI features — transcription summaries, auto-generated follow-up suggestions — but these are post-processing aids for human-conducted research. The AI helps you work with research data after it is collected.

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Koji's AI is the research itself. The AI conducts the interview, responds to what participants say in real time, adapts its probing strategy, and synthesizes findings across all interviews. This is not a workflow enhancement — it is a fundamentally different research modality that scales in ways human-moderated research cannot.

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For teams that need to interview 100 customers in a week, or maintain a continuous discovery practice without a full-time researcher, the distinction matters enormously. See how research democratization works in practice with Koji.

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Verdict: Different Tools for Different Jobs

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Lyssna is a strong product for its intended use case — fast, lightweight design and UX validation. If your research program is primarily focused on design iteration and usability, it delivers well.

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But if you need to understand customer motivations, run win/loss analysis, conduct product discovery interviews, or build a continuous research practice that scales beyond your researcher headcount, Lyssna hits a structural ceiling. The platform is not designed for the qualitative depth, async voice capability, or AI synthesis that those use cases require.

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Koji was built specifically for the research jobs that Lyssna cannot do — and does them at a cost and scale that was previously only accessible to teams with dedicated research operations and significant budgets.

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Start your first Koji study free →

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","category":"Research","lastModified":"2026-05-13T00:21:33.326941+00:00","metaTitle":"Koji vs Lyssna (2026): Which Research Tool Is Right for Your Team?","metaDescription":"Lyssna (formerly UsabilityHub) is great for fast design validation. Koji is built for deep customer research. Here is a head-to-head comparison of features, pricing, and use cases to help you choose.","keywords":["koji vs lyssna","lyssna alternatives","lyssna competitor 2026","usabilityhub alternatives","lyssna review","ai research platform vs lyssna","unmoderated vs moderated research tools"],"aiSummary":"A detailed comparison of Koji and Lyssna (formerly UsabilityHub) covering core capabilities, use cases, pricing models, and the fundamental difference between AI-moderated interviews (Koji) and unmoderated design testing (Lyssna). Helps teams decide which tool fits their research goals.","aiKeywords":["lyssna","usabilityhub","unmoderated research","AI moderated interviews","design testing","user research tools comparison"],"aiContentType":"comparison","faqItems":[{"answer":"Yes. Lyssna rebranded from UsabilityHub in 2023. The product evolved from a focused usability testing tool into a broader UX research platform with added test types, a participant panel, and basic AI features. The core unmoderated testing methodology remained the same through the rebrand.","question":"Is Lyssna the same as UsabilityHub?"},{"answer":"Not in any meaningful sense. Lyssna's AI features are limited to post-session transcription summaries and auto-generated follow-up question suggestions — tools that help you work with data after it's collected. Lyssna does not have AI-moderated interviews, async voice capability, or real-time AI probing. Its live interview feature still requires scheduling through Zoom or another external tool.","question":"Does Lyssna have AI interview capabilities?"},{"answer":"The core difference is the type of research insight each platform produces. Lyssna surfaces behavioral data from unmoderated task tests — where users clicked, which design they preferred, how they navigated. Koji surfaces motivational insight from AI-moderated conversations — why customers made decisions, what concerned them, what would change their behavior. Lyssna tells you what users do; Koji tells you why they do it.","question":"What is the main difference between Koji and Lyssna?"},{"answer":"Not fully — and that's intentional. Lyssna's core design test types (five-second tests, first-click tests, card sorting, prototype testing) have no equivalent in Koji. Koji is not designed for design validation. Where Koji replaces Lyssna is in use cases that require conversational depth: customer discovery, win/loss analysis, churn interviews, NPS follow-up, and any research where you need to understand motivation rather than just measure behavior.","question":"Can Koji replace Lyssna?"},{"answer":"As of November 2025, Lyssna uses a two-part pricing model: a platform subscription (starting around $82/month for the Starter plan) and separate panel credits at $1 per minute per participant. A 10-minute test with 30 participants costs $300 in panel credits alone before the subscription fee. Screener questions add $2/participant and session recording adds another $2/participant. This makes costs harder to predict at scale compared to Koji's flat credit model.","question":"How does Lyssna pricing work in 2026?"},{"answer":"It depends on your research stage. Early-stage startups doing customer discovery interviews benefit more from Koji — understanding why customers have certain problems and what motivates their decisions is the primary research need at that stage. Lyssna becomes more relevant once you have a design to test. Many startup research programs benefit from both: Koji for discovery, Lyssna for design validation after the direction is clear.","question":"Which is better for startups — Koji or Lyssna?"}],"relatedTopics":["ai-moderated-vs-human-moderated-interviews","koji-vs-maze-2026","koji-vs-sprig-2026","unmoderated-vs-moderated-research","ai-moderated-interview-platforms-2026"]}],"pagination":{"total":1,"returned":1,"offset":0}}