Short answer: Choose Strella if you run discrete research projects on a sprint cadence, need participants recruited for you, and can budget per study. Choose Outset if you have a standing research function, bring your own participants, and want text, voice, and video moderation across 40+ languages under a seat licence. Choose Koji if you want AI-moderated interviews with six structured question types and automatic analysis without a five-figure commitment — from EUR 29/month, self-serve.
Both platforms do the same fundamental thing: an AI moderator conducts in-depth interviews, probes with real follow-ups, and synthesizes themes automatically. The differences that actually change your decision are how they are bought, whether recruitment is included, and what kind of data you get out.
The context: why this category exploded
Research teams did not adopt AI moderation because it was novel. They adopted it because the unit economics collapsed. AI-moderated qualitative interviews now run roughly $8-$15 per completed interview against $150-$300 for a human-moderated equivalent.
Adoption followed immediately: about 81% of dedicated research teams, 73% of UX teams (up from 38% in 2024), and 67% of product management teams now use AI-moderated interviews, and 72% of insights buyers use generative AI somewhere in the research process, up from 23% in 2023. Inside a market research industry projected at roughly $150 billion in 2026, AI-native qualitative is the fastest-moving segment.
Strella and Outset are two credible answers to that shift, aimed at different buyers.
Strella vs Outset: side-by-side
| Strella | Outset | Koji | |
|---|---|---|---|
| Funding | $14M Series A (Bessemer, Decibel, Bain Future Back, 645Ventures) | $30M Series B (Radical Ventures, M12) | Bootstrapped, self-serve |
| Traction signal | $1.6M ARR in first year of monetization, 150%+ net dollar retention | Reported 8x business growth pre-Series B | Self-serve, no contract required |
| Modalities | Text-first, escalates to video | Text, voice, video | Voice + chat |
| Languages | Multilingual | 40+ | 40+ |
| Built-in panel | Yes — 3M+ via User Interviews partnership | No — bring your own | Bring your own + recruit in-product |
| Structured question types | Primarily open-ended | Primarily open-ended | 6 types in one study |
| Automatic synthesis | Yes — 2-4 levels of follow-up themes | Yes — summaries, themes, quotes | Yes + transcript chat |
| Highlight reels | Yes | Yes | One-click reports |
| Pricing model | Seat-based; ~$10K-$25K+ per study engagement | ~$20K/seat/year + usage-based billing | EUR 29/mo (29 credits) or EUR 79/mo (79 credits) |
| Free access | 14-day trial, no free plan | No standard free trial | 10 free credits at signup |
| Self-serve signup | No | No | Yes |
| Quality-gated billing | No | No | Yes — only interviews scoring 3+ bill |
What Strella actually does
Strella was founded in 2023 and raised a $14 million Series A led by Bessemer Venture Partners, with Decibel Partners, Bain Future Back Ventures, MVP Ventures, and 645Ventures participating. Bessemer reported it reached $1.6M ARR in its first year of monetization with over 150% net dollar retention on its first renewal cohort — genuinely strong numbers that indicate teams expand usage after they start.
Where Strella is strong:
- Synthesis depth. Strella clusters themes across conversations and typically surfaces two to four levels of follow-up themes rather than a flat list. If your complaint about AI analysis is that it produces shallow bullet points, this is a real differentiator.
- Recruitment included. A partnership with User Interviews puts a 3M+ participant panel inside the platform, so sourcing is not a separate workflow.
- Sprint-shaped. The product fits teams running one- to two-week research cycles where tactical validation and fast stakeholder updates matter more than longitudinal programs.
- Enterprise proof points. Reported customers include Amazon, Duolingo, and Chobani.
- A real trial. Strella offers a 14-day free trial — more hands-on evaluation than most enterprise competitors allow.
The trade-off: per-study contracts reportedly run $10,000-$25,000+ per engagement on seat-based pricing with no free plan. That is workable if research is a funded project line; it is prohibitive if you want to ask customers a question next Tuesday.
What Outset actually does
Outset raised a $30M Series B led by Radical Ventures with M12 (Microsoft's venture arm), 8VC, and Y Combinator participating, after reporting more than 8x growth. In 2026 it repositioned toward "AI-native customer experience management."
Where Outset is strong:
- Modality breadth in one study. Text, voice, and video moderation across 40+ languages, with adaptive personas that deepen probing as the conversation develops.
- Usage-based billing. Charges attach to research questions asked during live interviews, so cost tracks actual volume rather than a fixed project fee.
- Security posture. SOC 2, GDPR adherence, Azure hosting, and a "never trained on your data" policy — the documentation a security review asks for.
- Highlight reels. Customizable clip reels that move stakeholders who will not read a report.
- No panel you did not ask for. BYO participants means B2B teams interviewing their own customers are not subsidising consumer panel infrastructure.
The trade-off: reported pricing sits near $20,000 per seat per year plus usage, nothing is published, and there is no standard free trial. Recruitment is your problem unless you add User Interviews separately.
The head-to-head that matters
Recruitment: Strella wins. A bundled 3M+ panel removes the slowest step in qualitative research. Outset makes you solve it yourself.
Modality: Outset wins. Text, voice, and video natively across 40+ languages beats Strella's text-first-with-video-escalation model if you need audio or visual data by default.
Synthesis: Strella has the edge. Multi-level theme hierarchies are a more sophisticated output than flat summaries with quotes. Both are good; Strella's is deeper.
Buying model: it depends on your shape. Strella's per-study pricing suits organisations that fund research as discrete projects. Outset's seat-plus-usage model suits a standing research function running continuously. Pick the one that matches how your finance team thinks, because fighting your own budget structure is a losing move.
Evaluation: Strella wins narrowly. A 14-day trial beats no trial.
Total cost: effectively a tie at a high floor. Strella at $10K-$25K per engagement and Outset at ~$20K per seat per year land in the same band. Neither is accessible below five figures.
What neither platform solves
Strella and Outset are competing for the same buyer: an organisation where research is a budgeted function with a procurement process. If that is you, pick from the framework above and stop reading.
But most teams making product decisions are not that buyer. They are a founder validating positioning, a PM running discovery before a roadmap review, a two-person UX team, or an agency delivering for clients on fixed fees. For them, the relevant question is not "Strella or Outset" — it is "can I run rigorous customer interviews at all without a five-figure contract."
Koji is built for that question:
- AI-moderated voice and chat interviews with real-time adaptive probing on an ElevenLabs voice stack, running 24/7 with no scheduling and no moderator bias. See AI voice interviews.
- Six structured question types in one study — open-ended, scale, single choice, multiple choice, ranking, yes/no. This is the substantive capability difference. Strella and Outset are open-ended engines; when you need a number to chart, you run a separate survey. Koji captures the narrative and the metric in a single instrument. See open-ended questions and multiple-choice questions.
- Automatic thematic analysis with AI auto-tagging, plus chat with your transcripts to interrogate 100 interviews and get a cited answer in seconds.
- Customizable AI consultants tuned to your domain and research goals — an AI product marketer or UX lead that interrogates your insights on demand.
- Quality-gated credits. Only conversations scoring 3+ consume credits. Abandoned and low-effort responses do not bill you. Neither Strella nor Outset offers this.
- Transparent pricing. EUR 29/month (Insights, 29 credits) or EUR 79/month (Interviews, 79 credits). Text interviews cost 1 credit, voice 3. Ten free credits at signup, cancel monthly.
- Recruit from your own product, import your list, and run GDPR-compliant research.
The cost comparison, concretely: a 25-voice-interview study on Koji consumes 75 credits — roughly EUR 75 on top of a EUR 29 plan. The same study as a Strella engagement starts around $10,000, and on Outset requires a seat priced near $20,000/year. Even allowing for Strella's included panel, the difference is not incremental.
Which should you choose?
Strella if research is project-funded, recruitment is your bottleneck, you want the deepest automatic synthesis available, and $10K+ per study is a normal line item.
Outset if you have a continuous research function, your own participants, a need for native video alongside voice and text, and a security review that wants SOC 2 documentation.
Koji if you want to start this week, need quantitative and qualitative signal from one study rather than two tools, refuse to pay for a panel you will not use, and want to prove AI-moderated research works for your team before it becomes a budget line. For the wider field, see our best AI interview software guide and the user research cost calculator.
Talk to your customers this week
Neither a $10,000 study contract nor a $20,000 seat is a prerequisite for good research.
Koji gives you 10 free credits at signup — enough to run real AI-moderated voice or chat interviews with your own customers, get automatic thematic analysis, and produce a one-click report your team will actually read. From research question to synthesized insight in hours, not weeks. No research expertise required, no sales call, no annual contract.
Start free with Koji and find out what your customers say when someone finally asks properly.
