TL;DR: Kraftful is an AI feedback analysis copilot — it ingests the feedback you already collect from 30+ sources (app stores, support tickets, NPS verbatims, Slack) and uses AI to tag, cluster, and trend it. Koji is an AI-native customer research platform — it runs moderated voice and chat interviews on demand, asks dynamic follow-ups, supports six structured question types, and auto-codes themes across every conversation. Kraftful makes sense of feedback you already have. Koji goes and gets the answers you do not have yet. Most serious research teams end up needing the second.
Quick answer: which one should you pick?
- Choose Kraftful if you have a high volume of inbound, unsolicited feedback piling up across app reviews, Zendesk, Intercom, and NPS, and you want one AI workspace to aggregate, tag, and trend it into a backlog.
- Choose Koji if you need to proactively interview customers about something you cannot answer from existing feedback — discovery, churn diagnosis, win/loss, concept tests, pricing reactions — and you want AI to moderate the conversations and synthesize the themes for you.
The distinction is simple but it decides everything: no amount of AI tagging can extract an answer from feedback nobody ever volunteered. If the insight you need was never written down in a ticket or a review, you have to ask for it — and that is research, not analysis.
What Kraftful actually does
Kraftful positions itself as an "AI copilot for product builders." Its core engine connects to 30+ feedback channels — Apple App Store, Google Play, Zendesk, Intercom, Salesforce, G2, Slack, and survey verbatims — and consolidates everything into a single workspace. Its strengths are real:
- Feedback aggregation at scale. It pulls scattered, unsolicited feedback into one place and removes the manual copy-paste tax.
- AI summarization and sentiment. It clusters comments into themes, detects sentiment, and surfaces trending requests.
- Patent-pending hallucination detection. Kraftful built a verification layer to reduce the risk of the AI inventing insights that are not in the source data — a genuine differentiator in the feedback-analysis category.
- Workflow integrations. It pushes insights into Jira and Linear as user stories and tickets, and can draft surveys (and, more recently, lightweight AI interviews) from past feedback.
Kraftful is a strong listening layer. Where it is structurally limited is depth: it is built around feedback that customers chose to leave on their own terms. That feedback is biased toward the loudest 1% — angry churners and power users — and it can never tell you why someone did something, only that they said it.
What Koji actually does
Koji is built research-first. Instead of waiting for feedback to arrive, you launch a study and Koji conducts the interviews:
- AI-moderated voice and chat interviews. Koji runs natural, spoken or typed conversations that adapt in real time — asking the dynamic follow-up a static survey never would ("You said onboarding felt slow — what specifically made you hesitate?").
- Six structured question types. Open-ended, scale, single-choice, multiple-choice, ranking, and yes/no questions in one study, so you capture quantifiable signal and the qualitative "why" behind it.
- Automatic thematic analysis. Every transcript is auto-coded and themes are clustered across all conversations — you get a synthesized report, not a pile of recordings.
- One-click reports and transcript chat. Ask questions across 100 interviews at once and get a cited answer in seconds. See chatting with interview transcripts and AI auto-tagging.
- No moderator bias, available 24/7. The AI never leads the witness, never gets tired, and runs always-on interviews while you sleep.
The result: from research question to synthesized, auto-coded insight in hours, not weeks — with no research expertise required.
Head-to-head comparison
| Capability | Kraftful | Koji |
|---|---|---|
| Primary job | Analyze feedback you already have | Generate new research by interviewing customers |
| Data source | Unsolicited feedback (30+ channels) | Solicited, moderated interviews (voice + chat) |
| Dynamic follow-up questions | No (analysis only) | Yes — adaptive, real-time probing |
| Voice interviews | Limited | Core capability |
| Structured question types | Survey-style | 6 types in one study |
| Thematic analysis | Yes | Yes, across every interview |
| Answers "why did they churn?" | Only if they wrote it somewhere | Yes — ask them directly |
| Pricing | Free; Pro $15/mo; Team $300/mo | Free (10 credits); €29/mo; €79/mo |
| Time to first insight | Days (integration + setup) | Hours |
Pricing: the honest breakdown
Kraftful is genuinely affordable at the low end — a free Starter tier, a $15/month Pro plan, and a $300/month Team plan, scaling to custom Enterprise. But you are paying to organize feedback that already exists. If the data you need was never volunteered, no plan unlocks it.
Koji is transparent and self-serve: a Free plan with 10 credits to run real interviews today, Insights at €29/month, Interviews at €79/month, and custom Enterprise. A quality gate means only conversations scoring 3+ consume credits — you do not pay for junk responses. A small team can run a complete, AI-moderated study this week without a sales call or annual contract.
When teams use both
These tools are not mutually exclusive, and the smartest research stacks pair them. Use Kraftful (or a voice-of-customer platform) as the always-on listening layer for inbound feedback at scale. Use Koji as the research engine for the questions inbound feedback can never answer:
- Churn diagnosis — proactively interview churned customers instead of guessing from cancellation reasons.
- Discovery — run customer discovery interviews before you build the wrong thing.
- Concept and pricing tests — validate ideas through conversation-based concept testing.
- Win/loss — find out why deals actually closed or slipped.
On trust: both platforms take accuracy seriously. Kraftful built hallucination detection for analysis; Koji grounds every insight in real, attributable transcripts and applies bias and hallucination mitigation at the interview layer — because the most reliable insight is one a real customer actually said, on the record.
The bottom line
Kraftful is an excellent feedback-analysis copilot if your problem is "we have too much feedback and not enough time to read it." Koji is the right choice if your problem is "we do not actually know why customers behave the way they do — and we need to ask." Analysis tells you what people already said. Research lets you ask what nobody has answered yet.
Ready to run real customer interviews? Start with Koji free — 10 credits, no credit card, your first AI-moderated study live in minutes. Get from question to insight 10x faster, with no research expertise required.