AI app for human resources · no coding needed
Automated voice interview analysis workspace
Reduce interviewer hours and reporting delay while keeping every answer traceable to its recording.
Made for: HR, recruiting and research teams running structured interviews or surveys at volume

What it does for you
The problem
Spoken interviews and surveys are run by people, transcribed by hand and reported late, so answers are inconsistent and hard to compare.
What it gives you
Reviewer-approved interview reports linked to their transcripts
What you give it
Approved question setsvoice promptsparticipant consentscoring rules
Build your own version of Outset AI Voice Interviews, Kaiku and more
One app with what these 3 AI tools do, yours to keep and change: Outset AI Voice Interviews, Kaiku, Vocads.
Everything these tools do, in one app
- Automated voice interviews Runs spoken interviews or surveys automatically without a live interviewer.Found in Outset AI Voice Interviews, Vocads
- Natural language understanding Interprets spoken responses using natural language processing.Found in Outset AI Voice Interviews, Vocads
- Customizable questionnaires Lets users create and customize interview or survey questions with voice prompts.Found in Outset AI Voice Interviews, Vocads
- Real-time transcription Transcribes interview answers as they are spoken.Found in Outset AI Voice Interviews
- Real-time analysis Generates real-time reports, summaries, and recommendations from responses.Found in Outset AI Voice Interviews, Vocads
- HR/CRM integrations Connects with common HR and CRM platforms to fit existing workflows.Found in Outset AI Voice Interviews
- Consistent interview experience Provides the same interview experience for all candidates.Found in Outset AI Voice Interviews
- No-code survey creation Allows users to build and deploy voice surveys without coding.Found in Vocads
- GDPR-compliant data management Ensures data sovereignty and full control over collected data.Found in Vocads
- Multilingual support Operates in over 12 languages.Found in Vocads
- API compatibility Speaks the REST API of existing trackers so MCP servers work unchanged.Found in Kaiku
- Built-in MCP server Ships with an MCP server for Claude Code and Cursor, connectable with a single line.Found in Kaiku
- Comment-called agents Built-in agents respond when called in a comment, run on the caller's access level, and always frame output as a proposal.Found in Kaiku
- Per-issue cost recording Logs tokens, machine time, and who asked for every agent run directly on the issue.Found in Kaiku
- Full data export Exports an entire project in one request, even after a subscription ends.Found in Kaiku
- Built-in boards and sprints Includes boards, sprints, a mini-CRM table, and a calendar that only draws recorded events.Found in Kaiku
How it works, step by step
- Run spoken interviews or surveys automatically without a live interviewer
- Interpret spoken responses with natural language processing
- Create and customize interview or survey questions with voice prompts
- Transcribe answers as they are spoken
- Generate real-time summaries, reports and recommendations from responses
- Connect with common HR and CRM platforms
- Give every participant the same interview experience
- Build and deploy voice surveys without coding
- Manage collected data under GDPR-compliant controls
- Operate in more than twelve languages
- Speak the REST API of existing trackers so MCP servers work unchanged
- Ship an MCP server for Claude Code and Cursor, connectable with one line
- Answer comment-called agents that run on the caller's access level and frame output as a proposal
- Record tokens, machine time and requester on every agent run
- Export an entire project in one request, even after a subscription ends
- Include boards, sprints, a mini-CRM table and a calendar that only draws recorded events
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 Automated voice interview analysis 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 Automated voice interview analysis 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 links3 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 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 interviewer hours and reporting delay while keeping every answer traceable to its recording. For HR, recruiting and research teams running structured interviews or surveys at volume, convert approved question sets, voice prompts, participant consent and scoring rules into reviewer-approved interview reports linked to their transcripts. The benefit is a testable hypothesis, measured through completed interviews per operator hour and reviewer corrections per report; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved question sets, voice prompts, participant consent and scoring rules, then follow this sequence: 1. Run spoken interviews or surveys automatically without a live interviewer. 2. Interpret spoken responses with natural language processing. 3. Create and customize interview or survey questions with voice prompts. 4. Transcribe answers as they are spoken. 5. Generate real-time summaries, reports and recommendations from responses. Resolve uncertain cases with qualified reviewers, approve reviewer-approved interview reports linked to their transcripts, and measure completed interviews per operator hour and reviewer corrections per report against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 approved question set and consent wording; final scoring and hiring or research decisions 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. Participants and authorized reviewers approve substantive changes and publication scope. One approved question set and consent wording; final scoring and hiring or research 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 question set and consent wording; final scoring and hiring or research decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: run spoken interviews or surveys automatically without a live interviewer; interpret spoken responses with natural language processing. Support the third module with operator review: create and customize interview or survey questions with voice prompts. 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
HR and CRM platforms, applicant tracking systems, calendar and survey destinations. Cloud recording storage, tracker REST APIs and MCP clients such as Claude Code and Cursor. 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: Interview and survey builder, Live run monitor, Report and evidence review. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for questions, consent, scoring rules and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a participant link with comments anchored to the relevant transcript segment. Make the task-specific outcome reviewer-approved interview reports linked to their transcripts visible beside its evidence, review state and value baseline.





