Working Inside an Interview: Transcript, Notes, and Analysis

Once yo open an interview, this is where your real work happens.

This view is designed to help you move from:

πŸ‘‰ raw conversation to

β†’ structured understanding

β†’ actionable insights

Everything you need β€” transcript, notes, analysis, and insights β€” lives in one place.

Understanding the Three Core Views

At the top of the interview, you can switch between:

  • Transcript
  • Notes
  • Both

Each serves a different purpose β€” and understanding the difference is critical.

Transcript: What Was Said

The Transcript is the system-generated record of the conversation.

It comes from your uploaded audio or video.

What you see here:

  • Speaker names (who said what)
  • Timestamps
  • Audio playback controls
  • Full conversation flow

What this is for:

  • Reviewing the exact conversation
  • Understanding context and tone
  • Extracting evidence

πŸ‘‰ This is your source of truth

Nothing is interpreted here β€” it’s just what was actually said.


Transcript View

Split Transcript and Analysis

If AI analysis has been generated, you can split the Transcript and Analysis panels side-by-side.


This allows you to:

  • Read the original transcript while reviewing AI insights
  • Compare evidence directly against the AI interpretation
  • Navigate the conversation without leaving the analysis

If analysis has not been generated yet, the split option will not be available.Split Transcript and Analysis button to open the Analysis panel side-by-side with the transcript. This allows you to review the original conversation while simultaneously viewing AI-generated summaries and insights.

Split Transcript and Analysis

Notes: What You Think Matters

The Notes section is your workspace for interpretation and documentation.

This is where you:

  • Write observations
  • Capture reactions or patterns
  • Follow interview templates
  • Add structured notes during or after interviews

What you can do:

  • Use formatting tools
  • Create headings and lists
  • Add checkboxes
  • Insert tables or structured content
  • Organize your notes visually

πŸ‘‰ Notes are your interpretation layer.

Unlike transcripts, notes reflect your thinking and synthesis.

Note View

Split Notes and Analysis (New Section)

If AI analysis is available, you can also split the Notes and Analysis panels side-by-side.

This helps you:

  • Compare your own observations with AI-generated findings
  • Write notes while reviewing insights
  • Refine your interpretation using both human and AI perspectives

If analysis has not been generated, the split option will not be available.

Both View: Where the Work Happens

The Both view shows Transcript + Notes side by side.

This is the most powerful mode.

You can:

  • Read what was said
  • Write notes at the same time
  • Connect thinking directly to evidence

πŸ‘‰ This is where good analysis actually happens

Both View

Split Layouts in Both View (New Section)

Inside the Both view, you can expand or split panels to customize your workspace.

This allows you to:

  • Open Analysis beside the Transcript
  • View Notes beside Analysis
  • Focus on the information most relevant to your review process

This flexibility is especially useful during deep interview analysis.

Split in Both View

Insights Panel

The Insights panel is where you create, review, and manage interview insights.

Unlike Transcript, Notes, and Both, the Insights section does not function as a completely independent workspace. Instead, it opens alongside the other views so you can work directly with interview evidence while creating insights.

The Insights panel can be opened together with:

  • Transcript
  • Notes
  • Both view

This allows you to:

  • Select evidence from the transcript or notes
  • Create insights without leaving your workspace
  • Review existing insights while reading the interview
  • Connect evidence directly to Canvas hypotheses


What You Can Do in the Insights Panel

Inside the Insights panel, you can:

  • Create manual insights
  • Review AI-generated insights
  • Link insights to hypotheses
  • Add comments
  • Apply tags
  • Set priority levels
  • Review existing evidence connected to the interview

How to Create an Insight

  1. Select text from the Transcript or Notes
  2. Open the Insights panel
  3. Add:
    • A comment
    • Tags
    • Priority
    • Linked hypotheses
  4. Click Save

πŸ‘‰ Insights transform raw interview evidence into structured learning connected to your Canvas.

What Makes a Good Insight

A strong insight:

  • Is based on actual evidence (not opinion)
  • Connects to a hypothesis
  • Can support or invalidate an assumption

πŸ‘‰ Insights are how interviews impact your Canvas

Understanding the Analysis Section

If analysis has been generated, you’ll see it in the center panel.

This includes:

  • Executive Summary β†’ high-level overview
  • Explicit Insights β†’ direct statements from users
  • Implicit Insights β†’ underlying meaning
  • Themes β†’ patterns across the conversation

If you don’t see this:

πŸ‘‰ It means analysis hasn’t been generated yet


Updating the Interview Template

Inside the Notes panel, you’ll see an Update Template option.

This allows you to:

  • Change the template used for the interview
  • Apply a different structure of questions
  • Align your notes with a new framework

Use this when:

  • The wrong template was used
  • Your interview focus changed
  • You want consistency across interviews
Update Template

Navigating Between Interviews

At the top of the page, you can move between interviews without going back.

You can:

  • Go to the previous interview
  • Go to the next interview
  • See your position in the list (e.g., 6 / 38)

πŸ‘‰ This makes reviewing multiple interviews much faster

Move between Interviews

How This All Connects

Inside one interview, you are doing multiple layers of work simultaneously:

Understanding reality

β†’ Transcript

Interpreting meaning

β†’ Notes

Structuring evidence

β†’ Insights

Accelerating synthesis

β†’ AI Analysis

The platform keeps all four connected in one workspace so your discovery process remains traceable and evidence-based.

Key Takeaway

This view is not just for reading interviews.

It’s where:

πŸ‘‰ raw conversations become structured insights

πŸ‘‰ insights connect to hypotheses

πŸ‘‰ hypotheses get validated or invalidated

If you use this space well, your entire discovery process becomes:

  • More rigorous
  • Less biased
  • Much easier to scale
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