What Are Highlights?
Highlights are:- Key quotes that capture important insights
- Notable moments from video/audio responses
- Representative statements that illustrate themes
- Standout responses worth special attention
Types of Highlights
Quotable Insights
Powerful statements that encapsulate key findings:“I would pay double if it actually worked reliably.” — Respondent on reliability vs. price tradeoff
Emotional Moments
Responses that reveal strong feelings:“Honestly, I felt really let down. I trusted them and they just didn’t deliver.” — On customer experience failure
Unexpected Findings
Surprising perspectives that challenge assumptions:“I actually prefer less features. Everything is so complicated now.” — Against feature complexity
Representative Views
Common sentiments expressed particularly well:“It’s fine, nothing special. I use it because everyone else does.” — Capturing the “default” user mindset
Finding Highlights
In Your Report
Look for:- Highlighted quote sections
- “Key Quotes” or “Highlights” section
- Quote call-outs in analysis sections
- Video/audio clips marked as highlights
Using Report Chat
Ask for highlights:- “What are the most powerful quotes about [topic]?”
- “Show me memorable responses about customer service”
- “What surprising statements did participants make?”
Using Highlights
In Presentations
Highlights make data human:- Open with a compelling quote
- Illustrate findings with real voices
- Close with a memorable statement
In Reports
Include highlights to:- Break up quantitative data
- Add emotional resonance
- Make findings tangible
For Decision-Making
Highlights can:- Make abstract data concrete
- Generate empathy for users
- Illustrate the “so what” of findings
Highlight Best Practices
Highlight Selection
What Makes a Good Highlight
| Quality | Description |
|---|---|
| Clarity | Easy to understand out of context |
| Specificity | Concrete details, not vague statements |
| Authenticity | Feels real and genuine |
| Insight | Reveals something meaningful |
| Memorability | Sticks with the reader |
What to Avoid
- Overly long quotes that lose impact
- Quotes that need extensive explanation
- Extreme outliers presented as representative
- Quotes taken out of context
Video/Audio Highlights
Why They’re Powerful
Video and audio highlights add:- Tone and emotion
- Non-verbal communication
- Authenticity and credibility
- Engagement for stakeholders
Using Video Highlights
- Play during presentations
- Include in digital reports
- Share with team members
- Save for future reference
Creating Clips
If supported, you can:- Select key portions of recordings
- Create short highlight clips
- Compile a highlight reel
Organizing Highlights
By Theme
Group highlights by topic:- Price-related quotes
- Quality feedback
- Service comments
- Feature requests
By Sentiment
Organize by tone:- Positive highlights
- Critical feedback
- Mixed or nuanced views
By Persona
Associate with audience segments:- Power user quotes
- New customer perspectives
- Different demographic viewpoints
Sharing Highlights
With Teams
Share highlights to:- Build shared understanding
- Generate discussion
- Inspire action
With Stakeholders
Use highlights to:- Make data accessible
- Create emotional connection
- Support recommendations
With External Audiences
If sharing externally:- Ensure participant consent
- Remove identifying information
- Maintain confidentiality
Common Questions
How are highlights selected?
How are highlights selected?
AI identifies quotes that are clear, insightful, and representative. You can also find your own highlights in the data.
Can I create my own highlights?
Can I create my own highlights?
Browse responses manually to identify quotes that stand out to you. AI-selected highlights are starting points.
Are highlights representative?
Are highlights representative?
They’re selected to be representative, but always consider: how common is this view? Check quantitative data for context.
Can I edit or reformat highlights?
Can I edit or reformat highlights?
You can use quotes in your own materials with appropriate formatting and attribution.
Highlight Checklist
Before using a highlight:- Verified the full context
- Confirmed it’s representative (not an outlier)
- Checked for accurate transcription
- Removed identifying information
- Noted the source segment/context

