Koji vs Lyssna: AI-Moderated Interviews vs Unmoderated Design Testing (2026)

<article> <p class="lead">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.</p> <p>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.</p> <h2>The Core Difference in One Sentence</h2> <p><strong>Lyssna tells you what users do. Koji tells you why they do it.</strong></p> <p>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.</p> <p>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.</p> <h2>What Lyssna Does Well</h2> <p>Lyssna (rebranded from UsabilityHub in 2023) has built a strong product around fast, lightweight design validation. Its core strengths are:</p> <ul> <li><strong>Speed:</strong> Tests can be live and collecting responses within minutes, making it ideal for rapid iteration cycles during design sprints.</li> <li><strong>Panel access:</strong> Lyssna has 690,000+ active panelists across 124 countries with 395+ demographic targeting attributes — strong reach for quick validation studies.</li> <li><strong>Design-specific test types:</strong> Five-second tests, first-click tests, and prototype testing (with Figma integration) are genuinely useful for early-stage UX validation that conversation-based research cannot replicate.</li> <li><strong>Simplicity:</strong> Non-researchers can launch a preference test or card sort without training — the learning curve is shallow.</li> <li><strong>Price point for basic tests:</strong> The free tier allows basic testing with your own participants; paid plans start from around $82/month for the platform subscription.</li> </ul> <p>If your team is iterating on designs weekly and needs fast preference data or navigation validation, Lyssna delivers exactly that.</p> <h2>Where Lyssna Hits Its Ceiling</h2> <p>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:</p> <ul> <li><strong>No AI moderation:</strong> Lyssna has zero AI-moderated interview capability. Its "AI" features are limited to post-session transcription summaries and auto-generated follow-up question suggestions — the AI is a note-taker, not an interviewer.</li> <li><strong>No async voice interviews:</strong> Lyssna's interview feature (recently added) still requires scheduling through Zoom or a third-party tool. There is no native async voice capability.</li> <li><strong>No deep synthesis:</strong> Lyssna provides aggregate behavioral data and basic summaries. There is no theme detection, cross-session pattern analysis, or qualitative synthesis across dozens of interviews.</li> <li><strong>Session depth is limited:</strong> Unmoderated participants complete a task in 5–15 minutes and leave. There is no follow-up, no probing, no conversational depth.</li> <li><strong>Unpredictable panel costs:</strong> Lyssna's November 2025 pricing restructure separated platform subscriptions from panel credits ($1 per minute per participant). A 10-minute test with 30 participants costs $300 in panel credits alone — before the platform subscription. Screener questions add $2/participant; session recording adds another $2/participant. Costs can escalate quickly for research at scale.</li> <li><strong>No research repository or CRM:</strong> Lyssna does not offer participant management, research history, or longitudinal tracking across studies.</li> </ul> <h2>What Koji Does That Lyssna Cannot</h2> <p>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:</p> <ul> <li><strong>AI-moderated async voice interviews:</strong> Participants speak naturally — no scheduling, no Zoom, no human moderator. The AI conducts the interview, probes follow-up questions based on what they say, and adapts its approach in real time.</li> <li><strong>Automatic thematic analysis:</strong> Koji synthesizes findings across all interviews into a structured report — themes, patterns, key quotes, and structured answer distributions — without any manual analysis work.</li> <li><strong>6 structured question types:</strong> Koji supports open-ended, scale, single-choice, multiple-choice, ranking, and yes/no question types that combine quantitative signals with qualitative depth. A single study can capture both an NPS score and the reasoning behind it.</li> <li><strong>No moderation bias:</strong> Because there is no human moderator, there is no risk of leading questions, interviewer effect, or social desirability bias. Participants answer more honestly to an AI than to a person.</li> <li><strong>Context documents:</strong> You can upload product specs, personas, or existing research to give the AI consultant background — making interviews more targeted and relevant.</li> <li><strong>Cross-study insight:</strong> Koji's insights dashboard surfaces patterns across multiple studies over time, building a longitudinal picture of customer sentiment.</li> </ul> <h2>Head-to-Head Comparison</h2> <table> <thead> <tr><th>Feature</th><th>Lyssna</th><th>Koji</th></tr> </thead> <tbody> <tr><td>Unmoderated task tests (click, preference, 5-sec)</td><td>Yes — core product</td><td>No</td></tr> <tr><td>Card sorting and tree testing</td><td>Yes</td><td>No</td></tr> <tr><td>Prototype testing (Figma)</td><td>Yes</td><td>No</td></tr> <tr><td>AI-moderated async interviews</td><td>No</td><td>Yes — core product</td></tr> <tr><td>Async voice interviews</td><td>No</td><td>Yes</td></tr> <tr><td>Live moderated sessions</td><td>Via Zoom (not native)</td><td>No</td></tr> <tr><td>AI synthesis and theme detection</td><td>Basic summaries only</td><td>Full thematic analysis</td></tr> <tr><td>Structured question types (scale, choice, ranking)</td><td>Limited (surveys only)</td><td>6 types, natively integrated</td></tr> <tr><td>Built-in panel</td><td>Yes (690K+ panelists)</td><td>Yes</td></tr> <tr><td>Research repository</td><td>No</td><td>Yes (insights dashboard)</td></tr> <tr><td>CRM / CSV import for own participants</td><td>Basic</td><td>Yes</td></tr> <tr><td>Pricing model</td><td>Subscription + $1/min/participant panel credits</td><td>Credit-based (voice: 3 credits, text: 1 credit)</td></tr> <tr><td>Primary use case</td><td>Design validation, UX testing</td><td>Customer research, product discovery, win/loss</td></tr> </tbody> </table> <h2>Pricing Comparison</h2> <p>Lyssna restructured its pricing in November 2025, separating the platform subscription from panel access into two independently priced components:</p> <ul> <li><strong>Platform subscription:</strong> Free tier (limited); Starter plan from ~$82/month; Growth and Enterprise tiers at higher prices</li> <li><strong>Panel credits:</strong> $1 per credit = $1 per minute per participant. A 10-minute study with 50 participants = $500 in panel credits alone, before the platform fee. Screener questions add $2/participant.</li> </ul> <p>Koji uses a credit-based model:</p> <ul> <li><strong>Free plan:</strong> 10 starter credits included at signup — enough to run initial voice or text interviews</li> <li><strong>Insights plan:</strong> 29 credits/month — 1 credit per text interview, 3 credits per voice interview</li> <li><strong>Interviews plan:</strong> 79 credits/month — unlimited studies, free report refreshes</li> <li><strong>Enterprise:</strong> Custom credits and dedicated support</li> </ul> <p>For teams running qualitative interviews at any meaningful scale, Koji's credit model is significantly more predictable than Lyssna's per-minute panel billing.</p> <h2>When to Use Lyssna</h2> <p>Lyssna is the right choice when you need to answer design and usability questions quickly:</p> <ul> <li>Validating two or more design concepts before committing to development</li> <li>Testing navigation and information architecture with card sorting or tree testing</li> <li>Running five-second tests to check whether key messages land</li> <li>Quick prototype testing with Figma integrations during design sprints</li> <li>Preference testing on visual design, copy, or layout options</li> </ul> <p>If your question is "which design performs better?" or "can users find what they're looking for?", Lyssna is built for exactly that.</p> <h2>When to Use Koji</h2> <p>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:</p> <ul> <li>Customer discovery interviews at the start of a new product or feature cycle</li> <li>Win/loss analysis — understanding why deals are won or lost from the buyer's perspective</li> <li>Churn research — understanding the real reasons customers leave (not just "price")</li> <li>NPS follow-up — probing the reasoning behind satisfaction scores</li> <li>Jobs-to-be-done research — mapping the customer journey and motivations in depth</li> <li>Concept testing that requires explanation, not just preference selection</li> <li>Market research at scale — interviewing dozens or hundreds of customers without researcher bottlenecks</li> </ul> <p>If your question is "why do customers choose us, leave us, or behave this way?", Koji is designed for that investigation. Explore Koji's <a href="/docs/creating-your-first-study">study creation guide</a> or read more in the <a href="/docs/ai-voice-interviews-definitive-guide">definitive guide to AI voice interviews</a>.</p> <h2>Can You Use Both?</h2> <p>Many mature research teams do. The workflow looks like this:</p> <ol> <li><strong>Koji for discovery:</strong> Run AI-moderated customer interviews to identify the problems worth solving and understand user motivations deeply.</li> <li><strong>Lyssna for validation:</strong> Once you have concepts, run preference and usability tests to confirm that the design executes on the insights from discovery.</li> <li><strong>Koji for evaluation:</strong> After launch, run AI-moderated feedback interviews to understand what worked, what did not, and what to build next.</li> </ol> <p>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.</p> <h2>The AI Gap Is Not Cosmetic</h2> <p>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.</p> <p>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.</p> <p>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 <a href="/docs/research-democratization">research democratization</a> works in practice with Koji.</p> <h2>Verdict: Different Tools for Different Jobs</h2> <p>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.</p> <p>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.</p> <p>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.</p> <p><a href="https://app.koji.ai/signup" class="cta-button">Start your first Koji study free →</a></p> </article>