Koji vs Sprig: AI-Native Research vs In-Product Surveys (2026)
Sprig excels at in-product micro-surveys and behavioral analytics — but it can only reach active users and tops out at 5 questions. Koji conducts deep AI-moderated interviews with anyone, anywhere, at scale. Here's how they compare.
Koji Team
April 9, 2026
The Short Answer
Sprig is the right tool if you need quick pulse checks and behavioral data from users currently inside your product. Koji is the right tool if you need to understand why users behave the way they do — with deep, AI-moderated interviews that reach active users, churned customers, prospects, and anyone else you need to talk to. For strategic research that drives real decisions, Koji wins decisively.
What Is Sprig?
Sprig (formerly UserLeap) is an in-product research platform built around behavioral analytics and micro-surveys. It lets teams deploy 1–5 question surveys triggered by specific user behaviors inside a web or mobile app — for example, showing a 3-question survey after someone completes onboarding, or capturing exit intent feedback when a user abandons a flow.
Sprig has expanded beyond surveys to include session replays and heatmaps, positioning it as a behavioral analytics suite. Its AI Synthesize Agent groups open-ended responses into themes and generates presentation-ready summaries.
Where Sprig works well:
- In-product micro-surveys triggered by behavioral events
- Session replays and heatmaps for understanding user behavior patterns
- Quick pulse checks on specific product flows or feature releases
- High-volume feedback collection from active users
What Is Koji?
Koji is an AI-native customer research platform that conducts full-length, AI-moderated voice and text interviews with anyone — your current users, churned customers, prospects, competitor users, or any external audience. Instead of 1–5 question surveys, Koji runs 15–30 minute conversational interviews powered by a customizable AI consultant that understands your product, brand voice, and research objectives.
Koji supports six structured question types — open-ended, scale, single choice, multiple choice, ranking, and yes/no — that can be mixed and matched within a single AI-moderated study, giving you both quantifiable data and rich qualitative insight in one session.
What makes Koji different:
- AI-moderated voice and text interviews with natural follow-up probing
- Reaches anyone — not just active product users
- Structured questions (6 types) combined with open-ended exploration
- Automatic thematic analysis and one-click research reports
- No moderator bias — participants share more candid, honest feedback
- No research expertise required to run or analyze studies
- 10x faster insights than traditional moderated research
The Core Difference: Depth vs. Surface-Level Feedback
Sprig and Koji are built for fundamentally different research objectives.
Sprig is optimized for high-volume, low-depth feedback at in-product moments. If you have 50,000 active users and need to know what percentage found your new dashboard confusing, Sprig is fast and frictionless. Its behavioral triggers catch users at exactly the right moment, and its AI synthesis quickly identifies the most common response themes.
But there's a ceiling. Sprig surveys top out at 1–5 questions. They tell you what users think — "the feature is confusing," "onboarding takes too long" — but rarely why in meaningful depth. For strategic decisions — why are enterprise customers churning? What job is this feature really being hired to do? Should we enter a new market? — Sprig's format simply can't deliver the insight depth you need.
Koji is designed for the "why." Its AI interviewer probes, follows up, challenges assumptions, and asks clarifying questions exactly as a skilled human moderator would — but at any scale, any time, with zero scheduling overhead. A Koji study on churn can tell you not just that users left because the product was "too complex" but specifically which workflow, for which user type, in which context — and what competitor they switched to and why.
Organizations that embed deep qualitative research into their product strategy report 2.7 times better business outcomes than teams that rely solely on quantitative pulse checks, according to Maze's 2026 Future of User Research Report.
Sprig's Key Limitations
1. Active-User-Only Audience
Sprig's in-product surveys can only reach users currently active inside your app. This is its most significant strategic constraint. You cannot:
- Interview churned customers to understand why they left
- Research prospects who haven't converted yet
- Benchmark against users of competing products
- Run pre-launch concept tests with non-users
- Conduct market-entry research with external audiences
This blind spot means Sprig can tell you a lot about what your current users think today, but leaves you without insight into the much larger universe of people who could be using your product but aren't.
2. Survey Depth Ceiling
A 3-question in-product survey, however smartly triggered, cannot uncover the root cause of complex behaviors. Researchers who use Sprig consistently note that its format limits the analytical depth achievable — fine for pulse checks, but insufficient for strategic product decisions. The platform is great for validating a hypothesis you already have; it struggles to generate new ones.
3. Pricing Escalates Quickly
Sprig's Starter plan runs $175/month with access to just 2 in-product surveys. Advanced AI synthesis features — the capabilities that make the platform genuinely powerful for research teams — are locked behind the Enterprise tier, which requires custom pricing conversations. Teams quickly discover they're paying enterprise rates for what should be mid-market research capability.
4. No Qualitative Interview Capability
Sprig does not conduct interviews. If your research question requires open-ended exploration with natural follow-up probing — the kind of conversation that surfaces real motivations and hidden objections — you need a completely separate tool.
5. Data Residency Constraints
All Sprig data lives on Sprig's cloud infrastructure. Teams in regulated industries or with strict data residency requirements (healthcare, fintech, government) cannot run Sprig on their own infrastructure, which can be a dealbreaker for enterprise procurement.
Where Koji Wins
Research That Reaches Anyone
Koji interviews can reach any audience you define. Share a link, import a CSV of participants, or embed an interview widget on any webpage. Your research is no longer constrained by who happens to be active in your product today.
Interview Depth at Survey Scale
Koji's AI consultant conducts 15–30 minute interviews that naturally probe for root causes, motivations, and context. You get the depth of a skilled human moderator with the operational scale of a survey platform. One study can run 5 or 500 interviews simultaneously — you set it up once, and Koji does the rest.
No Moderator Bias
Because Koji's AI interviewer follows your discussion guide without the social dynamics that affect human-moderated sessions, participants often share more honest, candid feedback — especially on sensitive topics like pricing sensitivity, competitive comparisons, or product disappointments. The absence of a human in the conversation removes the social pressure to be polite.
Structured + Open-Ended in One Study
Koji's six structured question types (open-ended, scale, single choice, multiple choice, ranking, yes/no) can be combined within a single AI-moderated study. You can measure NPS, capture feature rankings, and then deeply explore the reasoning behind each score — all in one session, with automatic cross-tabulation in your analysis.
One-Click Research Reports
After interviews complete, Koji's analysis engine automatically identifies themes, patterns, and notable quotes across all responses. Research reports that would take a team days to synthesize are ready in hours. 88% of researchers in 2026 identify AI-assisted analysis as their top priority — Koji delivers this natively, not as a bolt-on.
No Research Expertise Required
Koji works equally well for first-time researchers, product managers running quick customer conversations, and specialist UX researchers scaling enterprise programs. You don't need training as a moderator, qualitative coding methodology, or a research operations background.
Feature Comparison
| Capability | Koji | Sprig |
|---|---|---|
| Interview format | AI-moderated 15–30 min conversations | 1–5 question micro-surveys |
| Audience reach | Anyone (users, churned, prospects, competitors) | Active product users only |
| Voice interviews | Yes — native voice support | No |
| Session replay | No | Yes |
| Heatmaps | No | Yes |
| Structured question types | 6 types (open, scale, choice, multiple, ranking, yes/no) | Basic survey logic |
| Auto analysis + reports | Yes — themes, patterns, one-click reports | Yes — AI synthesis (Enterprise) |
| API access | Full headless API | Limited |
| Starting price | Free tier available | $175/month (2 surveys) |
| Scales to external research | Yes | No |
When to Choose Sprig
Sprig makes sense when:
- Your primary need is in-product behavioral analytics (heatmaps, session replay, event-triggered surveys)
- You want micro-survey triggers at specific product moments for active users
- You need to bundle behavioral analytics and feedback collection in one contract
- Your research program is entirely focused on currently active users
When to Choose Koji
Koji is the right choice when:
- You need to understand why users behave the way they do, not just track what they do
- You need to reach churned customers, prospects, or non-users for strategic research
- You want AI-moderated interviews that go deep without scheduling overhead
- You need research to scale — from 5 to 500 interviews — with the same operational effort
- You're a PM, founder, or researcher who needs strategic insight without a full research team
The Verdict
Sprig and Koji solve genuinely different problems. Sprig is a behavioral analytics and micro-survey tool optimized for in-product pulse checks. Koji is a full-scale AI research platform that conducts deep qualitative interviews with any audience at scale.
If your question is "what percentage of users find this feature confusing?" — Sprig works well. If your question is "why are enterprise customers churning, and what would it take to retain them?" — you need Koji.
For teams who need both behavioral data and strategic depth, the practical answer is Koji as your primary research platform — for understanding motivations, validating strategy, and going deep on the questions that matter — supplemented by dedicated behavioral analytics tools (Pendo, FullStory, Mixpanel) for in-product event tracking.
Try Koji Free
Ready to go deeper than 5 questions? Start a free Koji study and run your first AI-moderated interview today — no research experience required. From question to insight in hours, not weeks.
Related resources:
- AI-Moderated Interviews — how Koji's AI consultant works
- Structured Questions Guide — combining survey-style and open-ended questions
- Koji for Product Managers — research workflows for PMs
- Scaling User Research — moving from occasional to continuous research
- Best AI Customer Interview Tools 2026 — full category comparison