Context Notes

Context Notes with transcript context

Prepare each interview with the candidate resume, planned questions, role requirements, and partial-match details. Then keep that context beside the transcript and use it to guide the AI summary after the call.

Context Notes

Candidate screen - shared workspace

Saved
Prep notes become extra context for the AI interview summary.
Prep plus transcript

Preparation stays connected to the interview record

Interview preparation should not live in a separate document without source context. note1 keeps candidate notes with the recording, transcript, speaker labels, and generated summary so the hiring team can review the full picture.

Mark what to verify

Write questions, concerns, portfolio themes, and areas that need evidence before the interview starts.

Link source material

Keep resume links, portfolio URLs, job descriptions, and scorecard details beside the interview record.

Track requirement fit

Document hard requirements, partial matches, missing evidence, and follow-up probes for the interviewer.

Search later

Find candidate answers from transcript, summaries, requirements, and notes context.

Formatting options

Format Context Notes like a real prep document

Context Notes support the formatting you need for interview prep: sections, requirements, question checklists, concerns, links, and rubric snippets.

Headings and paragraphs

Context Notes preview

Preview
Need these notes to shape the generated recap?Learn more
Source context

Preparation notes shape the interview summary

The summary does not only depend on what was said live. It can also use your preparation notes to understand which requirements mattered, what needed verification, and where the candidate was only a partial match.

Context Notes

Prepared before the candidate screen

Context
Want the full generated recap experience? Learn more

Maya Chen - interview summary

Generated from transcript + preparation notes

Context used

Overview

  • Maya is a strong fit for activation and onboarding design, with concrete examples from B2B SaaS growth work.
  • The prep note about enterprise workflow depth remains unresolved and should be tested in the next round.
  • Recommendation: advance if the team can probe admin workflows and analytics ownership with a portfolio deep dive.

Action Items

  • Hiring team - Schedule portfolio deep dive focused on enterprise workflow and admin examples.21:40
  • Interviewer - Ask for one post-launch example where metrics changed the design direction.18:12

Role fit, strengths, and concerns (03:14 to 22:40)

Assessment

  • Candidate appears strong for activation and onboarding design, with specific B2B SaaS examples and clear research-to-design reasoning.22:40

Strength

  • Interview answers reinforced the prep signal around growth design: Maya described activation experiments, research inputs, and iteration after launch.08:26

Note

  • Preparation notes flagged enterprise workflow depth as the main area to verify before the call.

Concern

  • Enterprise workflow depth remains unresolved; examples stayed closer to self-serve onboarding than complex admin flows.16:04

Action

  • Probe permissions, account roles, and cross-functional handoff in the portfolio review.21:40
Better interview prep

Prep notes, transcripts, and candidate summaries in one place

Prepare before the interview

Add resume links, role requirements, evaluation criteria, and the questions you want covered before the call starts.

Compare prep against answers

Review preparation notes with the interview transcript, recording, speaker labels, and timestamps in one place.

Use notes in AI interview summaries

Your preparation notes can guide the generated interview summary, including candidate strengths, gaps, and partial requirement matches.

Use Cases

How teams use an AI note taker

Team Meeting Notes

Review team syncs, planning calls, and weekly updates with AI meeting notes, searchable transcripts, and visible follow-ups.

View use case

AI Interview Notes

Revisit candidate answers, interview transcripts, timestamps, and speaker context after Google Meet interviews end.

View use case

Sales Call Notes

Capture customer requirements, searchable sales call transcripts, and follow-up actions after Google Meet sales calls.

View use case

Product Meeting Notes

Turn product reviews and feedback calls into searchable transcripts, decisions, questions, and follow-up context.

View use case
Platform guides

Meeting notes for the video platforms your team already uses

Focused pages for each meeting platform, without making every page compete for every platform keyword.

FAQ

Frequently Asked Questions

Support
Can I prepare interview notes before a candidate call?

Yes. You can use notes to prepare the interview with candidate resume links, planned questions, role requirements, scorecard criteria, and areas to verify during the call.

Do preparation notes affect the AI interview summary?

Yes. Notes can be included as context when note1 generates the interview summary, helping the recap compare what the candidate said against questions, requirements, and partial matches you documented.

Can I include links to a candidate resume?

Yes. Notes support rich text and links, so you can keep resume links, portfolio URLs, job descriptions, and hiring criteria close to the interview transcript.

Can notes track requirement gaps or partial matches?

Yes. Preparation notes are useful for marking hard requirements, partial matches, missing evidence, and topics the interviewer should probe during the conversation.

Products

More AI meeting tools from note1

Interview preparation notes are most useful when they sit beside live transcription, searchable interview records, summaries, and candidate follow-ups.

Get started