Kraftful

Kraftful is an AI-powered product insights platform that helps teams turn raw user feedback from reviews, surveys, support tickets, and calls into actionable intelligence. It automatically aggregates feedback from over 30 sources, detects sentiment, generates interviews, and creates surveys—all while using patent-pending hallucination detection to keep analyses reliable. Product builders use Kraftful as a copilot to understand what users love, what they’re missing, and what to build next, without manually sifting through scattered feedback.

• Multi‑source feedback aggregation: Instantly collects and unifies feedback from 30+ channels, including app store reviews, support tickets, NPS surveys, and user interview transcripts.
• AI‑powered sentiment detection: Identifies emotions, frustration, delight, and emerging trends, helping teams prioritize with confidence.
• Automated user interviews: Conducts personalized, AI‑driven interviews at scale, adapting questions based on user responses to gather deep qualitative insights.
• Survey generation & auto‑translation: Creates custom surveys from past feedback and translates responses, removing language barriers for global product teams.
• Hallucination‑free analysis: Patent‑pending detection prevents the AI from fabricating insights, so every trend and user story is grounded in real data.
• Auto‑organization into projects: Turns raw insights into structured projects, automatically surfacing top feature requests, loved features, and common complaints.
• Seamless integrations: Connects effortlessly with tools like Jira and Slack, syncing insights directly into existing workflows.

1. Sign up and select a plan: Create an account on kraftful.com and choose the tier that fits your team’s volume—Starter, Pro, Team, or Enterprise.
2. Connect your feedback sources: Link over 30 supported sources (app stores, Zendesk, Intercom, surveys, etc.) to let Kraftful begin pulling feedback automatically.
3. Let AI organize and analyze: The platform processes incoming feedback, detects sentiment, and groups insights into projects with user stories and feature requests.
4. Launch AI‑powered interviews or surveys: Define your learning goals and Kraftful will conduct automated interviews or generate surveys; responses flow back into the analysis.
5. Review and act on insights: Explore the dashboard for daily/weekly reports, highlight urgent sentiment shifts, and export findings or user stories to your tracking tool.
6. Integrate with your workflow: Use the Jira or Slack app to push insights as tickets or alerts, ensuring the whole team stays aligned.

Kraftful follows a Freemium model, with a free Starter tier for individuals and paid plans that scale from solo users to large teams. All paid tiers include a flexible cancellation policy. Keep in mind that the details below may change; always refer to the official Kraftful website for the most current pricing.

• Starter (Free): 1,800 words/month analysis, AI‑generated surveys, daily/weekly/monthly insights, AI chat, limited feedback sources.
• Pro ($12/month): 70,000 words/month, AI‑driven surveys and analysis, quarterly reports, feedback mentions, 30+ source sync.
• Team ($240/month): 1.5M words/month, embedded surveys, backfilled data analysis, annual reports, support for up to 50 team members.
• Enterprise (Custom): 2M+ words/month, API access, custom AI chats, dedicated onboarding, SLA support, unlimited seats, annual billing.

• Web application: Full‑featured dashboard accessible from any modern browser.
• API access: Available on the Enterprise plan for custom integrations and data pipelines.
• Native integrations: Plug‑and‑play connectors for Jira, Slack, and 30+ feedback sources; no separate desktop or mobile app required.
• Mobile browser support: The web app is responsive and can be used on tablets and smartphones.

• Connect all relevant sources early: The more data streams you plug in, the richer and more accurate your cross‑channel sentiment picture becomes.
• Monitor sentiment trends daily: Set up Slack notifications for sudden negative shifts so you can investigate and respond before small issues become crises.
• Use automated interviews to clarify vague feedback: When text reviews are ambiguous, deploy targeted AI interviews to dig into the “why” behind the words.
• Leverage auto‑translation actively: If you have a global user base, enable translation to catch important friction points that might only appear in non‑English feedback.
• Turn user stories directly into backlog items: Use Kraftful’s auto‑generated user stories as draft tickets in Jira, reducing the time from insight to spec.
• Schedule quarterly narrative reports: The Pro and Team plans can summarize long‑term trends—use them to align stakeholders on the voice of the customer.

• Product development teams that want to centralize feedback analysis and shorten the loop between user requests and shipped features.
• UX researchers who need to combine quantitative metrics with qualitative depth and avoid spending days coding free‑text responses.
• Customer support leaders looking to surface product issues from tickets and reduce manual categorisation work.
• Marketing professionals seeking to capture authentic customer language and emotion for positioning, testimonials, and content.
• Startups and growing SMBs that lack a dedicated data science team but still need AI‑powered insight discovery.
• Enterprise organizations requiring reliable, hallucination‑free analysis across high volumes of sensitive customer data, with SLA support and API access.