AI app for product development · no coding needed
Customer feedback insight and prioritization workspace
Reduce manual consolidation while keeping every insight traceable to its source.
Made for: Product teams collecting feedback and research data across channels
What it does for you
The problem
Feedback and research data sit in separate tools, so teams cannot see themes, sentiment or priorities without manual consolidation.
What it gives you
Reviewer-approved themes, sentiment summaries and prioritized opportunities linked to source evidence
What you give it
Permitted feedback exportsinterview recordingssurvey responsessupport tickets
Build your own version of Dovetail Magic, Cynthia AI and more
One app with what these 10 AI tools do, yours to keep and change: Dovetail Magic, Cynthia AI, Channels by Dovetail, ivie, Feedback., UserWise, Dovetail 3.0, Feedback Rivers, ProductlyAI, CustomerIQ.
Everything these tools do, in one app
- Multi-source feedback aggregation Collects customer feedback from various channels into one centralized platform.Found in Cynthia AI, Channels by Dovetail, Feedback. and 2 more
- Automated feedback collection Automatically gathers feedback from channels like email and web forms.Found in Feedback.
- AI-driven theme clustering Automatically groups and categorizes feedback by theme or topic.Found in Dovetail Magic, Channels by Dovetail, CustomerIQ
- Sentiment analysis Analyzes customer emotions and satisfaction levels from feedback.Found in Feedback., UserWise
- Automated summarization Generates concise summaries of interviews, feedback, and documents.Found in Dovetail Magic, Dovetail 3.0, CustomerIQ
- Transcription of audio/video Converts audio and video content into text with speaker detection.Found in Dovetail Magic
- Highlighting important moments Identifies and suggests key moments in data for easy review.Found in Dovetail Magic, Dovetail 3.0
- Sensitive data redaction Removes sensitive or confidential information to protect privacy.Found in Dovetail Magic
- Advanced search Quickly locates relevant information across all data sources.Found in Dovetail Magic, Channels by Dovetail, CustomerIQ
- Interactive query assistant Provides conversational answers to questions about customer data.Found in Cynthia AI, Dovetail 3.0
- Trend detection Identifies and tracks changes in customer feedback over time.Found in Cynthia AI, Feedback Rivers
- Customizable dashboards Displays real-time data visualizations that can be tailored.Found in UserWise, Feedback Rivers
- Collaboration tools Facilitates team discussions and decision-making based on feedback.Found in UserWise, Feedback Rivers, ProductlyAI
- Tagging and filtering Organizes feedback with tags and filters for efficient categorization.Found in Feedback Rivers, Channels by Dovetail
- Survey creation Allows creation of customizable surveys and questionnaires for targeted data gathering.Found in Feedback.
- Participant recruitment Finds, schedules, and incentivizes research participants from a database.Found in Dovetail 3.0
- Calendar integration Syncs with calendars to upload and analyze recordings from meetings.Found in Dovetail 3.0
- AI content generation Generates written content such as summaries, documents, and marketing materials.Found in ivie, CustomerIQ
- Prioritization frameworks Helps teams rank features and tasks effectively.Found in ProductlyAI
- Roadmap planning Visualizes product timelines and milestones.Found in ProductlyAI
How it works, step by step
- Aggregate feedback from email, web forms, support tickets and review sites
- Collect feedback automatically from connected channels
- Cluster feedback into themes with AI assistance
- Score sentiment and satisfaction per item and theme
- Summarize interviews, documents and feedback threads
- Transcribe audio and video with speaker detection
- Highlight key moments in recordings and long documents
- Redact sensitive or confidential information before analysis
- Search across all sources with filters and saved queries
- Answer questions about customer data in a conversational assistant
- Detect trends and changes in feedback over time
- Display customizable dashboards with real-time visualizations
- Support team comments, assignments and decision notes
- Tag and filter feedback for categorization
- Create and distribute customizable surveys
- Recruit, schedule and incentivize research participants
- Sync calendars to import and analyze meeting recordings
- Generate written summaries, documents and briefs
- Rank features and tasks with prioritization frameworks
- Visualize product timelines and milestones on a roadmap
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Customer feedback insight and prioritization workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Customer feedback insight and prioritization workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data201 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual consolidation while keeping every insight traceable to its source. For product teams collecting feedback and research data across channels, convert permitted feedback exports, interview recordings, survey responses and support tickets into reviewer-approved themes, sentiment summaries and prioritized opportunities linked to source evidence. The benefit is a testable hypothesis, measured through accepted insights per research hour and decisions traced to source evidence; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted feedback exports, interview recordings, survey responses and support tickets, then follow this sequence: 1. Aggregate feedback from email, web forms, support tickets and review sites. 2. Collect feedback automatically from connected channels. 3. Cluster feedback into themes with AI assistance. 4. Score sentiment and satisfaction per item and theme. 5. Summarize interviews, documents and feedback threads. 6. Transcribe audio and video with speaker detection. 7. Highlight key moments in recordings and long documents. 8. Redact sensitive or confidential information before analysis. 9. Search across all sources with filters and saved queries. 10. Answer questions about customer data in a conversational assistant. 11. Detect trends and changes in feedback over time. 12. Display customizable dashboards with real-time visualizations. 13. Support team comments, assignments and decision notes. 14. Tag and filter feedback for categorization. 15. Create and distribute customizable surveys. 16. Recruit, schedule and incentivize research participants. 17. Sync calendars to import and analyze meeting recordings. 18. Generate written summaries, documents and briefs. 19. Rank features and tasks with prioritization frameworks. 20. Visualize product timelines and milestones on a roadmap. Resolve uncertain cases with qualified reviewers, approve reviewer-approved themes, sentiment summaries and prioritized opportunities linked to source evidence, and measure accepted insights per research hour and decisions traced to source evidence against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final prioritization, roadmap decisions and sensitive-data handling remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve participant consent, source attribution, quotation accuracy and usage permissions. Customers approve substantive changes and publication scope. One approved feedback source and one recording format; final prioritization and sensitive-data decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One approved feedback source and one recording format; final prioritization and sensitive-data decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: aggregate feedback from email, web forms, support tickets and review sites; collect feedback automatically from connected channels. Support the remaining modules with operator review: cluster feedback into themes with AI assistance; score sentiment and satisfaction per item and theme; summarize interviews, documents and feedback threads. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned feedback exports, authorized interview recordings and permitted research sources. Cloud storage, calendar systems, survey tools and product management destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source connections and imports, Editable insight workspace, Prioritization and roadmap view. Use a project list for feedback sets, a central evidence canvas with theme clusters, and a right-hand panel for tags, sentiment, source links and comments. Let users compare themes across time periods. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant quote or recording. Make the task-specific outcome reviewer-approved themes, sentiment summaries and prioritized opportunities linked to source evidence visible beside its evidence, review state and value baseline.
