
Kraftful
Kraftful · Productivity
Kraftful is an AI product management tool for user feedback analysis. It turns reviews, tickets, surveys, and calls into prioritized feature requests and user stories you can sync to Jira or Linear.

About Kraftful
What Is Kraftful
Kraftful is a product feedback tool built for product teams. Its app review analysis and ticket scanning gather feedback from store reviews, support tickets, call transcripts, surveys, and community channels, then use AI to pull out the requests, complaints, and loved features that keep showing up. Product management work here means reading thousands of opinions and forgetting half of them. Kraftful handles the reading part so you can focus on the deciding part.
The product does three things well: collect feedback automatically, analyze it into named insights, and turn those insights into plans. You connect a source once, and Kraftful keeps pulling new feedback daily without you touching a spreadsheet. Every insight links back to the original user quote, so you can check the reasoning instead of trusting a black box.
The main limit is scope. Kraftful organizes and summarizes what users already said. It doesn't replace hands-on research or tell you which feature to build first. You still make the call. The free plan also caps how much feedback you can analyze each month, so teams with big datasets end up on a paid plan.
Getting Started
- Sign up on the Kraftful website with your work email or a Google account.
- Connect a source. App reviews, G2, and Trustpilot need no login since those reviews are public. Zoom, Intercom, Zendesk, HubSpot, and similar tools connect through Zapier.
- Upload a CSV or DOCX if you have older feedback in a file, or paste text straight into the app.
- Let Kraftful run its first analysis, which produces insights sorted by type, mentions, and source.
- Generate a user story or a project from any insight, then sync it to Jira or Linear.
Product Information
A quick look at Kraftful's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Product managers
- UX researchers
- Startup founders
- Support leads
Tasks
- Triaging app store reviews
- Writing user stories
- Drafting PRDs
- Running surveys and user interviews
- Interviewing users at scale
Scenarios
- Weekly product triage
- Competitive research
- Post-launch monitoring
- Preparing a roadmap review
Key features
Automatic feedback collection
Kraftful connects to app store reviews, G2, Trustpilot, Zoom, Google Meet, Intercom, Zendesk, Front, HubSpot, Help Scout, Slack, Discord, and more, plus a catch-all Zapier option for anything else. Review sources need no authentication, which means you can pull a competitor's public reviews the same way you pull your own. Once connected, Kraftful collects new feedback daily, weekly for review sites, and right after a call ends for meeting transcripts.
AI insights with source quotes
The analysis sorts feedback into top feature requests, loved features, complaints, and competitors mentioned. Each insight shows how many times it came up, and clicking the mention count opens the original user quote in full. You can filter by project, insight type, or a keyword, and sort by mentions to see what the largest group of users actually wants. CSV and DOCX uploads add extra lenses like SWOT, Empathy Map, and the 4 Whats analysis.
User stories and Jira and Linear integration
Any insight can become a user story with acceptance criteria, either one at a time or in bulk. Expand a story and sync it through the Jira and Linear integration, where it creates a ticket that also links back to the original mentions. This closes the gap between "users asked for this" and "an engineer is working on it" without a manual copy-paste.
Projects and PRDs
Kraftful auto-generates projects from your insights and sorts them into Now, Next, and Later. You can edit or replace those projects, create your own, and move insights around by hand or on autopilot. Inside a project, you generate one or more PRDs from selected insights or a topic, then edit, share, or export them as PDF or Markdown.
Surveys and AI user interviews
The survey builder creates NPS or custom surveys from past feedback, a new topic, or a blank page. AI drafts the questions, and you edit, reorder, or delete before sharing a link. The AI interview feature runs personalized follow-up questions with many users at once, starting from one predefined question, so a single researcher gets the reach of a whole team.
Hallucination detection and auto translation
Kraftful says it uses proprietary, patent-pending hallucination detection to keep its summaries tied to real feedback. It also supports multiple languages and translates incoming feedback into your account language, which matters if your reviews, tickets, and calls come in from a global user base.
Pros and cons
Pros
- Public sources like app reviews, G2, and Trustpilot connect without authentication, so competitive research is as easy as analyzing your own product.
- Every insight links to the verbatim user quote, which lets you verify a claim instead of trusting an AI summary.
- Direct Jira and Linear integration turns analysis into tickets without a manual step.
- The free plan and a $15 Pro plan keep it accessible for solo founders and small teams.
- Transparent, per-mention sourcing and customizable insight editing give teams room to apply their own product judgment.
Cons
- The free plan limits monthly feedback volume, so teams with large datasets feel pressure to upgrade.
- Most ticketing and support integrations route through Zapier, which means an extra account and setup step, plus Zapier's own cost at scale.
- It organizes what users already said but doesn't rank which feature to build first, so prioritization is still on you.
- Slack insight updates only cover app review sources for now, so teams that rely on ticket feedback won't get those alerts yet.
Frequently asked questions
Kraftful collects user feedback from reviews, support tickets, call transcripts, surveys, and community channels, then uses AI to summarize it into feature requests, complaints, and loved features. From there you can generate user stories, projects, and PRDs, and sync them to Jira or Linear.
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