Working Inside an Interview: Transcript, Notes, and Analysis

Once you 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

Notes: What You Think Matters

The Notes section is your workspace.

This is where you:

  • Write observations
  • Capture patterns or reactions
  • Use interview templates

What you can do:

  • Use formatting tools (headings, lists, checkboxes)
  • Follow structured interview templates
  • Add your own thinking alongside the transcript

πŸ‘‰ Notes are your interpretation layer

Notes View

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

Creating Insights from Interviews

On the right side, you’ll see the Insight panel.

This is where you turn conversations into structured learning.

How to Create an Insight

  1. Select text from the transcript or notes
  2. Add:
    • A comment (what this means)
    • Tags (to organize)
    • Priority (importance)
  3. Link it to a Canvas hypothesis
  4. Click Save

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

Showing or Hiding the Insight Panel

You can toggle the right-side panel on or off.

This helps you:

  • Focus only on reading (hide it)
  • Create insights (open it)

πŸ‘‰ Small feature, but very useful for focus

How This All Connects

Inside one interview, you are doing three things at once:

  1. Understanding reality β†’ Transcript
  2. Interpreting meaning β†’ Notes
  3. Creating structure β†’ Insights

And optionally:

4. Accelerating with AI β†’ Analysis

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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