Feedback source connections
Connect feedback sources such as iOS app reviews, Android app reviews, Google Meet, Intercom, G2, and Trustpilot, then start analyzing feedback from a single workspace.
Kraftful is an AI product research tool that analyzes feedback from multiple sources and turns it into insights, surveys, user stories, and PRDs.
Kraftful is an AI product research and feedback analysis tool for product teams. It collects user feedback from multiple sources and turns it into structured insights that teams can use to understand needs, trends, and priorities.
The product is centered on feedback synthesis: it groups issues, summarizes sentiment, highlights feature requests and complaints, and helps teams turn those findings into surveys, projects, PRDs, and user stories. The site also says Kraftful supports translated summaries and AI-powered user interviews.
The homepage positions Kraftful as a way to save time spent on manual review of reviews, surveys, calls, and support tickets. A Labelbox case study shows the tool being used to reduce manual ticket review and to speed up product decisions based on customer feedback.
Connect feedback sources such as iOS app reviews, Android app reviews, Google Meet, Intercom, G2, and Trustpilot, then start analyzing feedback from a single workspace.
Turn large volumes of user feedback into themes, feature requests, complaints, and summaries that help teams understand what users need.
Ask custom questions, click into summaries, and review feedback in full context so teams can inspect specific mentions rather than only top-level themes.
Create projects, write PRDs from selected insights, and generate user stories that can be assigned in Jira, Linear, or Kraftful.
Generate surveys from past feedback or a topic of interest, then auto-analyze the responses and translate them into the team’s language.
Run AI-powered user interviews that adapt follow-up questions based on prior responses and summarize the resulting insights.
Use Kraftful to review support tickets, app reviews, survey responses, and call transcripts in one place, then extract the main problems and requests without manually tagging everything by hand.
Use the tool to identify recurring complaints, feature requests, and trends over time so a product team can decide what to fix or build next.
Use the project and story generation workflow to turn selected insights into PRDs and implementation-ready user stories for Jira, Linear, or Kraftful.
Use the survey builder to create new surveys from past feedback or a topic, then analyze the responses in the team’s language.
Use AI-powered interviews to gather responses at scale with follow-up questions that adapt to what each person has already said.
Kraftful is positioned for product builders and product teams that need to analyze user feedback quickly. The homepage emphasizes use by product teams, and the case study shows it being used by a product support and product team at Labelbox.
The source shows Kraftful connecting feedback sources, analyzing the collected feedback, and surfacing insights such as feature requests, complaints, trends, and summaries. It also supports turning insights into user stories and projects.
The homepage says Kraftful can connect a feedback source in about 1 minute, but it does not provide a full setup flow or implementation requirements.
The site does not publish pricing details on the pages provided. The case study footer mentions a free trial flow and an option to upgrade to Pro or Team.
Kraftful’s homepage says it can auto-translate feedback summaries and support thousands of languages, but the provided sources do not fully document every supported integration or deployment option.