2026 User Interview to Requirements Analysis: 2 AI Interview Tools Tested and Compared — Which One Uncovers Real Needs?

The interview is over, and the recording has been sitting on your phone for 62 minutes. You remember the interviewee said a lot, but the few sentences that could actually become requirements are nowhere to be found in your memory.

So you start replaying, pausing, rewinding, and transcribing. By the time you finish organizing one interview, half a day is gone. But what interviews really need is insight, not transcript volume.

This article compares two tools that can turn interview content into requirements material: Tinrec and Granola. One is an AI tool focused on Chinese meeting notes and team collaboration; the other is a bot-free AI meeting notes tool. I'll compare them point by point based on what interview research cares about most, and finally tell you which one to choose under what circumstances.

Tinrec vs Granola | Quick Overview

Tinrec is an AI meeting notes and collaboration tool for individuals and teams. It supports real-time recording, bot-free online meeting transcription on desktop, audio and video import, and organizes transcripts into summaries, chapters, to-dos, and mind maps.

Granola is a bot-free AI meeting notes tool that captures system audio and microphone on desktop for real-time transcription, then combines it with your own notes to generate meeting content that better reflects your personal understanding.

Item	Tinrec	Granola
Core positioning	AI meeting notes and team collaboration	Bot-free AI meeting notes
Does it keep recordings?	Yes, with an audio recycle bin	Does not save meeting audio
Import existing audio files	Supports audio and video file import	Does not support uploading pre-recorded audio
Pricing	Personal plan has free version, weekly pass, and Pro monthly/annual; Team plan USD 29.80 per paid seat per month	Free Basic; Business USD 14 per user per month; Enterprise USD 35 per user per month

Prices and benefits on both sides may change; refer to the official pricing pages for the latest. Next, I'll compare 5 dimensions: importing and retaining existing interview audio, Chinese interview and terminology recognition, processing transcripts into requirements analysis, output and workflow integration, and team data retention and permission governance.

Dimension 1 | Can Existing Interview Audio Be Imported and Retained?

In interview research, recordings are never only made in meeting rooms. Phone recordings, Zoom recordings, old files handed over by colleagues — all are raw material for requirements analysis.

Granola's design focus is real-time meetings. It transcribes on desktop during the meeting, but does not support uploading pre-recorded audio and does not save meeting audio. If the interview is already recorded, this process won't help.

In addition to real-time recording, Tinrec supports audio and video file import, and the recording itself is retained; deleted team audio goes to a recycle bin, currently with a 30-day retention period. For research workflows that require both transcripts and original recordings for archival reference, this is quite critical.

→ This dimension: Tinrec clearly wins.

Dimension 2 | Chinese Interview and Professional Terminology Recognition

Granola's product mindset leans toward English meeting notes, with official scenarios mostly around English meetings and personal handwritten notes. If your interview is in Chinese or mixed Chinese-English, you'll usually need to spend an extra round proofreading.

Tinrec covers Chinese, Traditional Chinese, and multilingual meeting scenarios, supports real-time translation and viewing in original, translated, or bilingual mode; the team plan also allows maintaining team hotwords to lock down product names, project codes, and professional terminology, reducing the situation where the same term is misheard every time.

Note that neither tool should be promised to have a fixed accuracy rate externally. Actual results are affected by recording quality, background noise, accents, and overlapping speakers. For key sentences involving requirements judgment in interviews, my own habit is to go back and verify against the transcript timestamps and recording once more.

→ This dimension: Tinrec is more friendly for Chinese interviews.

Dimension 3 | How Transcripts Become Requirements Analysis

Granola's strength is combining "your notes" with AI enhancement, suitable for people who like to handwrite key points while listening. Q&A and integration also revolve around meeting notes. For those who want to preserve their own judgment context, this approach is very intuitive.

Tinrec takes a different path: beyond transcripts, it directly generates AI summaries and chapters, cutting long interviews into browsable sections; then extracts to-dos from discussions and can produce mind maps to help pull scattered answers back into a requirements structure. More critically, AI Q&A lets you ask follow-up questions about a single interview or multiple interviews, such as "which interviewees mentioned the same pain point" or "which requirements were mentioned repeatedly."

Granola officially supports viewing, copying, and searching transcripts, but does not save audio and cannot import existing recordings. On the path of "processing transcripts into requirements material," Tinrec still offers more output forms.

→ This dimension: Tinrec's post-meeting processing is more complete.

Dimension 4 | Output and Workflow Integration

Requirements analysis rarely stops inside the tool. Interview conclusions ultimately need to go into PRDs, research reports, or shared documents.

Tinrec's official documentation explicitly lists multi-format export, allowing results to be taken to Notion, Google Docs, OneNote, Dropbox, and other tools for further processing. It can also use Agent post-processing to generate reports, tables, and documents.

Granola's public information focuses on note enhancement and integration, with emphasis on keeping meeting notes within its own workflow. From the perspective of "producing multiple deliverables after interviews," Tinrec's output surface is broader.

→ This dimension: Tinrec slightly ahead.

Dimension 5 | Research Team Data Retention and Permission Governance

Interview data usually does not belong to individuals. Teams need to be able to accumulate it and hand it over.

Tinrec's team plan is an independent team space, not multiple people sharing a personal account. It provides member invitations, roles such as owner/admin/member, seat allocation, team-shared real-time recording and import benefits, usage trends and member rankings, audit logs, team hotwords, and audio recycle bin. Team resources belong to the team; when a member leaves, is removed, or loses a seat, they need to hand over their responsible resources to other active members.

Granola offers shared folders and user/enterprise-level management, which is sufficient for small teams sharing meeting notes.

Also, it's important to distinguish: Tinrec's permissions use "roles" to control governance and "seats" to control usage eligibility, not file-level granular permissions. Members without a seat can still view, play, and read team data, but cannot perform uploads, edits, imports/exports, and other operations.

→ This dimension: Tinrec is more complete in team governance.

What Are the Unique Advantages of Each?

Tinrec's advantages

• Retains recordings and supports importing existing audio files, making interview archiving and re-transcription possible.
• Complete Chinese, Traditional Chinese, and bilingual experience; team hotwords handle professional terminology.
• Diverse post-meeting outputs: summaries, chapters, to-dos, mind maps, plus reports, tables, and documents.
• Team space with roles, seats, usage, and audit logs turns interview data into transferable team assets.
• Desktop version records online meetings via system audio without needing an extra meeting bot to join.

Granola's advantages

• Handwritten notes plus AI enhancement produce content closer to your own thought process.
• Focuses on cross-meeting context accumulation, suitable for long-term personal use.

Conclusion: Which One Should You Choose?

• Interview already recorded, with a batch of audio files to organize → Tinrec (supports file import and retains recordings)
• Interviews mainly in Chinese or mixed Chinese-English → Tinrec
• You need to turn transcripts into requirements lists, reports, or tables → Tinrec
• Interview data needs to stay with the team and not leave when members change → Tinrec team plan
• You only have real-time meetings on desktop, like to write notes while listening, and don't need to save audio → Granola is enough

In one sentence: for those turning user interviews into requirements analysis, Tinrec is the more comprehensive choice. I recommend starting with the free version, testing with one of your own interview recordings, and then deciding whether to upgrade.

FAQ

What is the biggest difference between Tinrec and Granola?

Granola focuses on note enhancement for real-time meetings, does not save audio, and cannot import existing recordings; Tinrec retains recordings, supports audio file import, and continues to organize transcripts into summaries, to-dos, mind maps, and various documents.

Is the free version enough?

Tinrec's free version provides basic quota, allowing you to experience recording, import, summaries, and transcription. It's fine for organizing a few scattered interviews. Granola's Basic plan is also free. If your interview volume is steady, then evaluate upgrading.

Interview recordings are long. Can I upload the whole thing?

Tinrec supports audio and video file import. Usable length and quota vary by plan; check the current plan description before use. Granola does not support uploading pre-recorded audio.

How should I view transcript accuracy?

Neither tool is suitable for claiming a fixed accuracy rate externally. Interviews with clear audio and a single speaker work best; with noise, accents, or overlapping speakers, important sentences should be verified against the recording.

What's the difference between the team plan and personal plan?

Personal plan data belongs to the individual account. The team plan is an independent space where meeting data belongs to the team, with added members, roles, seats, shared benefits, usage analysis, audit logs, and recycle bin.

Can members without a seat see data?

Yes. Active members without a seat can still view, play, and read team data, but need a seat to record, upload, edit, and export.

References

• [PM | Uncovering Requirements] How Product Managers Interview Users and Analyze to Find Requirements?
• Ask Less, Ask Better! 3 Steps for User Interviews to Find What Customers Really Need | CommonWealth Magazine
• 6 Steps for User Interviews: Easily Create an Effective Interview Process - JEFEC
• Requirements Research 06 | How Do Interview Results Correspond to Product Development Issues? | Blog
• Requirements Interview - iThome Help: Solve Problems Together, Save IT People a Day