Koji vs Canny: AI Customer Research vs Public Feedback Voting (2026)

TL;DR: Canny is a feedback management tool that runs public-facing feature boards where customers post requests and upvote each other's ideas. Koji is an AI-native customer research platform that runs AI-moderated voice and text interviews with adaptive probing, mixes six structured question types in one study, and produces publishable insight reports. Canny is good at counting which feature has the loudest crowd. Koji tells you why customers want it, what job they're trying to do, and whether they'd pay for it — the questions a vote count cannot answer.

Quick comparison: Koji vs Canny at a glance

| Feature | Koji | Canny | |---|---|---| | Starting price | €29/month (Insights plan) | $19/month Starter (annual) | | Free tier | 10 free credits at signup, no expiry | Free plan, 25 tracked users | | Pricing model | Credit-based (1 credit/text, 3/voice) | Per-tracked-user tiered subscriptions | | AI-moderated voice interviews | Yes, ElevenLabs-powered | No | | AI-moderated text interviews | Yes, with adaptive probing | No | | Generates qualitative depth | Yes — full transcripts with adaptive follow-ups | No — short comments and upvotes only | | Structured question types in one study | 6 (open-ended, scale, single choice, multiple choice, ranking, yes/no) | N/A — voting + comments | | Public feedback portal & upvoting | No (research-focused) | Yes — Canny's core feature | | Customizable AI consultant | Yes, persona-tunable | Autopilot AI tags and routes feedback | | One-click insight reports | Yes | No — Canny outputs prioritization scores | | Quality-gated billing | Yes, only conversations scoring 3+ count | All tracked users count toward seat limit | | Reaches non-vocal customers | Yes (via outreach + recruiting) | No — only people who post on the board | | Best for | Founders, PMs, agencies needing the why behind requests | Product orgs running a public roadmap & community feedback portal |

What is Canny?

Canny is a customer feedback management platform launched in 2017 that gives product teams a public-facing board where users can submit feature requests, upvote each other's ideas, and comment. It auto-tags feedback themes via Autopilot AI, integrates with Intercom, Zendesk, Gong, Zoom, and G2, and connects ideas to feature tickets in Jira, Linear, ClickUp, and Asana.

Canny's core workflows:

1. Public feedback board — A branded portal where customers post and upvote requests, visible to everyone
2. Roadmap visualization — Public roadmap views (now/next/later) tied to the same feedback objects
3. Autopilot AI — Captures and tags feedback from Intercom, Zendesk, Gong, Zoom, and G2 automatically
4. Changelog — Publish product update notes when requests ship

Canny's 2026 pricing: a free plan with 25 tracked users; Starter at $19/month (annual) or $79/month monthly; Growth at $200/month annual ($2,400/year) with up to 500 tracked users; and Business with custom pricing for 5,000+ tracked users. Pricing scales with the number of "tracked users" — every customer who votes, comments, or submits feedback. As your customer base grows, your Canny bill grows with it. Popular integrations like Jira, Linear, ClickUp, and Asana require the Pro plan at $79+/month, not the Free or Core tiers.

What is Koji?

Koji is an AI-native customer research platform that lets anyone — founder, PM, marketer, agency strategist — design a study, run AI-moderated voice or text interviews at scale, and turn the responses into a publishable insight report in a single workflow. Where Canny crowdsources what customers say they want, Koji uncovers what they actually need — and why.

Koji's differentiators:

• AI-moderated voice interviews powered by ElevenLabs that sound natural and adaptively probe like a senior interviewer would — instead of a comment box
• Six structured question types in one study: open-ended (with adaptive probing), scale, single choice, multiple choice, ranking, and yes/no — so a single interview produces both qualitative depth and chart-ready quantitative data (learn more about structured questions)
• Custom AI consultants you can persona-tune to your industry, brand voice, and research goals (see the AI consultant docs)
• Quality-gated credits that only count interviews scoring 3 or higher on the quality rubric — drop-offs and spam never consume credits
• Transparent pricing: €29/month Insights, €79/month Interviews, flat €1/credit overage, plus 10 free credits when you sign up
• One-click insight reports that summarize themes, surface representative quotes, and produce a publishable artifact (see how reports work)

Where Koji and Canny differ

1. Vote counts vs. customer reasoning

This is the central split. Canny tells you that 142 people upvoted "dark mode" and 89 people upvoted "Slack integration." It cannot tell you why those people care, what job they're trying to do, or what they would actually pay for. Upvoting is a thin signal — and it's biased.

A 2026 review of Canny noted that since feedback boards use upvote-based voting, high vote counts mean that the louder or more active users' preferences are shown as the top priority, irrespective of their impact value. Quiet customers, churned users, and high-value enterprise buyers rarely post on a public board. The roadmap that emerges from a Canny vote tally is a popularity contest among the most vocal slice of your audience.

Koji solves the underlying problem. Every open-ended question is moderated by an AI interviewer that probes adaptively. A vague answer triggers a clarifying follow-up. A surprising answer triggers a deeper one. By the end of a 10-minute interview, you have full transcripts that are dramatically richer than any vote count could capture — and you can run them with the customers who would never have voted in the first place.

2. Generating insight vs. organizing community votes

Canny is fundamentally a destination for feedback that customers proactively bring to you. It has no way to go out and generate fresh insight from a specific audience — churned users, prospects, ICP segments who haven't signed up yet, or the silent 95% of your customer base. If a segment never visits the feedback portal, Canny never hears from them.

Koji is built for that exact gap. You design a study, recruit respondents (existing customers, churned users, target ICP from a panel partner, or your own list), and the AI moderator runs adaptive interviews 24/7. According to a 2026 Harvard Business Review piece on AI-scaled qualitative research, AI-powered interviewers now let companies run rich, adaptive conversations with thousands of participants quickly — capturing emotional nuance and compressing research timelines from weeks or months to days. (Read our guide on recruiting research participants.)

3. Quantitative validation without leaving the conversation

Canny gives you upvote totals — that's the entire quantitative signal. It can't run a structured survey. If you want validation — "Rank these four features by importance," "Would you pay $50 or $100 for this?", "Which of these three plans would you buy?" — you need a separate tool, and now you're stitching results across systems.

Koji's six structured question types let a single interview ask:

• "On a scale of 1 to 10, how likely are you to pay for this?" (scale)
• "Rank these four features by importance" (ranking)
• "Tell me about the last time the missing feature actually blocked you" (open-ended with adaptive voice probing)
• "Which of these three pricing plans would you buy?" (single choice)
• "Which integrations would you use?" (multiple choice)
• "Have you ever paid for a tool to solve this?" (yes/no)

The result is a chart-ready quantitative dataset and a stack of qualitative insight from the same set of respondents — all delivered as a one-click insight report.

4. Pricing predictability

Canny's headline prices look affordable, but they scale with the number of customers who interact with your feedback portal. Every customer who votes, comments, or submits feedback becomes a "tracked user." For a growing SaaS, that number increases every month — pushing teams from Free (25 users) to Starter ($19/month, ~limited), Growth ($200/month, 500 tracked users), and eventually Business (custom pricing for 5,000+ users).

Koji's credit-based model is transparent and quality-aware:

• 1 credit per AI-moderated text interview
• 3 credits per AI-moderated voice interview
• 5 credits per AI report refresh
• Flat €1/credit overage on every plan
• Only conversations scoring 3+ on the quality rubric consume credits — drop-offs and spam never cost you anything

A team running 50 voice interviews per month consumes 150 credits — covered by the €79/month Interviews plan with a small overage, all in for under €150. Your customer base can grow to a million users without affecting your Koji bill.

5. Public roadmap vs. private research

Canny's public board is also its biggest weakness for sensitive research. Discussion of pricing, churn reasons, competitor evaluations, or net-new product ideas is broadcast to every visitor. Competitors can see your priorities. Skeptical customers can vote up problems before you've had a chance to address them. The "transparency" cuts both ways.

Koji studies are private by default. Interviews happen 1:1 with respondents, transcripts and reports stay inside your account, and you can run sensitive research — pricing tests, churn investigations, competitive positioning, concept testing on unannounced features — without exposing it to your community. (See how Koji handles personalized interview links.)

6. AI quality: tagging vs. moderating

Canny's Autopilot AI captures and tags feedback as it flows in from Intercom, Zendesk, Gong, Zoom, and G2. That's useful for organizing the inbox — but the AI is reactive. It does not interview anyone. It does not probe a vague answer. It does not generate fresh signal.

Koji's AI is the moderator and the analyst. It runs the conversation, decides which follow-up to ask, scores response quality, extracts themes, and produces the insight report. The output is not a tagged inbox — it's a publishable research artifact. (Read about AI consultants and insight statements.)

Pricing comparison

| Plan | Koji | Canny | |---|---|---| | Free tier | 10 free credits at signup, no expiry | 25 tracked users, limited features | | Entry plan | €29/month (29 credits, ~9 voice interviews) | $19/month Starter (annual) | | Mid-tier | €79/month (79 credits, ~26 voice interviews) | $200/month Growth (500 tracked users) | | Enterprise | Custom (500+ credits) | Custom (5,000+ tracked users) | | Cost driver | Credits used (predictable) | Tracked users (grows with customer base) | | Quality gate | Yes (only scoring 3+ consumes credits) | None |

For a SaaS company with 1,000 active users, Canny Growth is $200/month or $2,400/year — and you still have to run customer research somewhere else. Koji at €79/month delivers ~79 credits, enough for ~26 voice interviews monthly, with predictable €1/credit overage. The unit economics flip dramatically as your customer base grows: Canny gets more expensive; Koji stays flat.

Use case fit

Pick Canny if you need:

• A public-facing feature request board where customers can post and upvote
• A community-driven prioritization signal (popularity contest among vocal users)
• Tight integrations with Intercom, Zendesk, Gong, Zoom, G2, and project management tools
• A changelog and public roadmap to communicate what you're shipping
• A team that prefers reactive feedback aggregation over proactive research

Pick Koji if you need:

• The why behind feature requests, not just the upvote count
• AI-moderated voice or text interviews with adaptive probing
• A single study that mixes qualitative depth with quantitative scale, ranking, and choice questions
• A workflow that takes you from question to insight report in hours, not weeks
• Research with churned customers, prospects, and quiet users who would never visit a public board
• Predictable pricing that doesn't scale with your customer base
• Private studies on sensitive topics (pricing, churn, competitive positioning, unannounced features)
• An AI consultant that scaffolds study design, moderation, and analysis for non-researchers

Use both if your stack already has Canny

Many product orgs run Canny as their public feedback portal and Koji for the deeper research Canny cannot run. Canny captures the loud crowd's asks. Koji validates which of those asks have real commercial pull, uncovers the underlying jobs, and reaches the silent majority Canny never hears from. Together they produce a roadmap based on signal and depth — not just vote counts.

What the data says about the trade-off

91% of businesses with 50 or more employees now use AI in some part of the customer journey, and 92% of Fortune 500 companies are using LLMs internally — yet only 25% of contact centers have fully integrated AI into daily workflows. The teams pulling ahead are the ones using AI-native research platforms to generate qualitative insight, not just AI-tagged feedback inboxes.

Maze's 2026 Future of User Research report found that 69% of teams now use AI in research projects, a 19% jump year over year. According to a 2026 Harvard Business Review piece on AI-scaled qualitative research, AI-powered interviewers are letting companies run rich, adaptive conversations with thousands of participants quickly and inexpensively, capturing emotional nuance and compressing research timelines from weeks to days.

Upvote-driven roadmaps belong to a previous era of product management — one where the most vocal customers set the agenda. AI-moderated research lets you hear from everyone who matters, not just the loudest 5%.

Try Koji free

If your team is ready to move past upvote tallies and start generating real customer insight, Koji is built for you. Sign up and you get 10 free credits, no credit card required. That is enough to run a handful of AI-moderated text interviews, see the structured question types in action, and watch a one-click insight report assemble itself from your transcripts.

Teams using Koji ship 10x faster because they get answers in hours, not weeks. No moderator bias. No vote-count politics. Just the why behind the requests — at a price that doesn't balloon as your customer base grows.

Start your first study →

Related reading

• Koji vs Productboard: AI Research vs Product Management Platform (2026)
• Koji vs Pendo: AI-Native Research vs Product Analytics Surveys (2026)
• Koji vs Sprig: AI-Native Research vs In-Product Surveys (2026)
• The Product Manager's Guide to Customer Discovery with AI (2026)
• Best customer feedback tools (2026)
• Feature prioritization survey guide (Koji docs)
• Working with the AI consultant (Koji docs)