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Kraftful 3.0

★4.3
💬1320
💲Freemium

Kraftful is an AI-powered tool that helps product managers analyze user feedback to optimize product development. It automatically sorts feedback into categories, generates insights, and supports multiple feedback sources and languages.

💻
Platform
web
AIHallucination DetectionNatural Language ProcessingPRD GenerationProduct DevelopmentProduct ManagementSentiment Analysis

What is Kraftful 3.0?

Kraftful is an AI-powered product manager tool designed to analyze user feedback from various sources, including reviews, surveys, calls, and support tickets. It helps product teams understand user needs, optimize product development, and make data-driven decisions. Kraftful leverages proprietary hallucination detection to deliver accurate analysis and provides actionable insights to improve product delight.

Core Technologies

  • AI-powered analysis
  • Hallucination detection
  • Natural Language Processing
  • Large Language Models

Key Capabilities

  • Analyze user feedback
  • Generate PRD based on insights
  • Create user stories for Jira and Linear
  • Conduct AI-powered user interviews
  • Track trends over time

Use Cases

  • Analyze app reviews to identify top feature requests and complaints
  • Understand customer sentiment from support tickets to prioritize bug fixes
  • Generate user stories for new features based on user feedback
  • Create surveys to gather specific feedback on product improvements
  • Conduct AI-powered user interviews to understand user needs at scale

Core Benefits

  • Saves time by automating feedback analysis
  • Provides actionable insights for product development
  • Improves product delight by understanding user needs
  • Supports multiple feedback sources and languages
  • Offers AI-powered surveys and user interviews

Key Features

  • AI-powered analysis of user feedback
  • Hallucination detection for accurate insights
  • Automated sorting of feedback into categories
  • AI-generated surveys and user interviews
  • Trend tracking over time
  • PRD generation based on insights
  • User story generation for Jira and Linear
  • Multi-language support with auto-translation

How to Use

  1. 1
    Connect feedback sources to Kraftful
  2. 2
    Allow AI to analyze the data and sort it into categories
  3. 3
    Use AI to generate insights and summaries
  4. 4
    Export user stories to Jira or Linear
  5. 5
    Use AI to interview users and gather feedback

Pricing Plans

Starter

Free
Analyze 1,800 words* / mo, AI-generated surveys, Daily / Weekly / Monthly insights, Chat with AI, Select feedback sources

Pro

$15/mo
70,000 words* / mo, AI generated surveys + AI analysis, Quarterly reports, See mentions in original feedback, Sync 30+ feedback sources, Cancel anytime

Team

$300/mo
1,500,000 words* / mo, Embed surveys on your website, Analysis of backfilled data, Annual reports, Cancel anytime

Enterprise

Custom
2,000,000 words* / month, Additional words (add-on), Custom reporting & analytics (add-on), Custom amount of chats with AI, Advanced API access, Dedicated onboarding, Unlimited seats, SLA support, Plan billed annually

Frequently Asked Questions

Q.How does Kraftful ensure accurate analysis of user feedback?

A.Kraftful leverages proprietary hallucination detection (patent pending) to deliver accurate analysis. This technology catches and eliminates AI hallucinations, ensuring that the insights provided are reliable and actionable.

Q.What types of feedback sources can I connect to Kraftful?

A.Kraftful supports connecting to 30+ feedback sources, including iOS app reviews, Android app reviews, Google Meet, Intercom, G2, and Trustpilot. You can also connect other sources using the +Connect a feedback source option.

Q.Can Kraftful translate user feedback into my team's language?

A.Yes, Kraftful offers multi-language support and can automatically translate feedback into your team's language. This allows you to listen to feedback in thousands of languages and get summaries auto-translated.

Pros & Cons (Reserved)

✓ Pros

  • Saves time by automating feedback analysis
  • Provides actionable insights for product development
  • Improves product delight by understanding user needs
  • Supports multiple feedback sources and languages
  • Offers AI-powered surveys and user interviews

✗ Cons

  • Pricing may be a barrier for smaller teams
  • Reliance on AI may require human oversight to ensure accuracy
  • Effectiveness depends on the quality and volume of user feedback

Alternatives

No alternatives found.