AI app for marketing · no coding needed
Customer feedback evidence and reporting workspace
Reduce the effort to turn collected feedback into reviewed, source-linked findings.
Made for: Product, marketing and research teams that collect and analyze customer feedback
What it does for you
The problem
Feedback sits in separate interview, survey, dashboard and reporting tools, so teams cannot trace a conclusion back to the customer statement behind it.
What it gives you
Reviewer-approved findings linked to source evidence
What you give it
Permitted interview transcriptssurvey responsessupport messagesusage notes
Build your own version of Arro, TheySaid 3.0 and more
One app with what these 10 AI tools do, yours to keep and change: Arro, TheySaid 3.0, Voicepanel, RevealAI, Aptitude, Convo, Whyser, FeedbackStream, UserCall, Insights Hub.
Everything these tools do, in one app
- AI-driven feedback collection Automatically gathers feedback from users through AI-powered interviews, surveys, or conversations.Found in TheySaid 3.0, RevealAI, UserCall
- Conversational AI interviews Conducts interactive voice or chat interviews that adapt to user responses.Found in TheySaid 3.0, RevealAI, UserCall
- Automated feedback categorization Sorts incoming feedback into relevant topics or themes without manual effort.Found in FeedbackStream
- Sentiment analysis Detects positive, neutral, or negative tones in customer responses.Found in FeedbackStream
- Real-time analytics Provides immediate insights and performance tracking as data is collected.Found in Voicepanel, RevealAI, Insights Hub
- Automated report generation Creates reports with customizable templates based on collected data.Found in Insights Hub
- Interactive dashboards Visualizes data in real-time through customizable dashboards.Found in Arro, FeedbackStream, Insights Hub
- Data aggregation Collects and combines data from multiple sources like spreadsheets, databases, and cloud services.Found in Insights Hub
- AI-powered trend analysis Identifies patterns and predicts future trends using AI.Found in Insights Hub
- Collaboration tools Enables team members to share reports, insights, and work together on projects.Found in Arro, Aptitude, Insights Hub
- Integration with other platforms Connects with popular third-party tools and services for seamless workflow.Found in Arro, TheySaid 3.0, Voicepanel and 3 more
- Customizable workflows Allows users to tailor processes and automation to fit specific needs.Found in Arro, Aptitude
- Task automation Automates routine tasks to save time and reduce manual effort.Found in Arro, Aptitude
- Context-aware suggestions Provides intelligent recommendations based on the current context to aid decision-making.Found in Arro
- Secure messaging Offers end-to-end encryption for confidential communication.Found in Convo
- Smart message suggestions Suggests replies to speed up typing and response times.Found in Convo
- Conversation summaries Generates context-aware summaries to keep everyone updated.Found in Convo
- Natural language understanding Supports conversational queries and understands user intent.Found in Whyser
- Detailed explanations Provides clear, context-aware answers to complex questions.Found in Whyser
- Multi-language support Accommodates diverse user bases by supporting multiple languages and dialects.Found in UserCall
- Automatic transcription Converts audio from interviews into text transcripts automatically.Found in UserCall
- Panel recruiting Helps recruit participants for research studies or feedback sessions.Found in TheySaid 3.0
- Usability testing Captures voice and video of users performing tasks to evaluate usability.Found in TheySaid 3.0
- Customizable AI agents Allows tailoring of AI interviewers to adapt questions based on responses.Found in UserCall
- Real-time alerts Notifies teams promptly about new feedback or issues.Found in FeedbackStream
- Response management Enables teams to reply to customer concerns directly from the platform.Found in FeedbackStream
- Voice project management Manages multiple voice projects from a single dashboard.Found in Voicepanel
- Customizable templates Provides templates to speed up content creation or report generation.Found in Voicepanel, Insights Hub
- Predictive insights Uses AI to forecast trends and outcomes based on data.Found in Insights Hub
How it works, step by step
- Collect feedback through AI interviews, surveys and conversations
- Run adaptive voice or chat interviews that follow up on responses
- Transcribe interview audio into text
- Categorize incoming feedback into topics and themes
- Detect positive, neutral and negative sentiment
- Show real-time analytics as data arrives
- Generate reports from customizable templates
- Display interactive dashboards with filters
- Aggregate data from spreadsheets, databases and cloud sources
- Identify patterns and forecast trends from collected data
- Let team members share reports and comment on findings
- Connect third-party tools for import and export
- Configure workflows and automation per study
- Automate routine sorting, tagging and notification tasks
- Suggest next questions and themes from current context
- Support multi-language interviews and responses
- Recruit participants and manage voice projects from one dashboard
- Capture voice and video of users performing tasks
- Tailor AI interviewers to adapt questions to responses
- Alert teams about new feedback or issues
- Let teams reply to customer concerns from the platform
- Summarize conversations and answer natural-language queries with explanations
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved findings linked to source evidence with source references and unresolved questions
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 evidence and reporting 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 evidence and reporting 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 links6 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data200 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 the effort to turn collected feedback into reviewed, source-linked findings. For product, marketing and research teams that collect and analyze customer feedback, convert permitted interview transcripts, survey responses, support messages and usage notes into reviewer-approved findings linked to their source evidence. The benefit is a testable hypothesis, measured through accepted findings per analyst hour and corrections after report approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted interview transcripts, survey responses, support messages and usage notes, then follow this sequence: 1. Collect feedback through AI interviews, surveys and conversations. 2. Run adaptive voice or chat interviews that follow up on responses. 3. Transcribe interview audio into text. 4. Categorize incoming feedback into topics and themes. 5. Detect positive, neutral and negative sentiment. 6. Show real-time analytics as data arrives. Resolve uncertain cases with qualified reviewers, approve reviewer-approved findings linked to source evidence, and measure accepted findings per analyst hour and corrections after report approval 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. One fixed study type and permitted source set; final interpretation and reporting decisions remain with the research team. 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. Research owners approve substantive findings and publication scope. One fixed study type and permitted source set; final interpretation and reporting decisions remain with the research team. 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 fixed study type and permitted source set; final interpretation and reporting decisions remain with the research team. Implement one approved input format, a bounded representative case set and the first two task modules: collect feedback through AI interviews, surveys and conversations; run adaptive voice or chat interviews that follow up on responses. Support the remaining modules with operator review. 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 transcripts, authorized interviews and permitted research sources. Cloud storage, survey and support-desk import/export and reporting 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: Study setup and sources, Editable analysis workspace, Client report and delivery. Use a thumbnail gallery for studies, a large central analysis canvas, and a right-hand panel for sources, themes and comments. Let users compare theme versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant finding. Make the task-specific outcome reviewer-approved findings linked to source evidence visible beside its evidence, review state and value baseline.
