Analysis Types
Analysis Types
Section titled “Analysis Types”Pain Points Extraction
Section titled “Pain Points Extraction”What it finds: Problems, frustrations, challenges, and negative experiences mentioned in conversations.
Best for:
- Identifying product improvement opportunities
- Understanding customer complaints
- Prioritizing issues to address
Output includes:
- Categorized pain points with descriptions
- Direct quotes from participants supporting each pain
- Frequency indicators showing how common each pain is
Example output:
| Pain Category | Description | Supporting Quotes |
|---|---|---|
| Long wait times | Users frustrated by delays in customer service | ”I waited 45 minutes just to speak to someone…” |
| Confusing navigation | Difficulty finding features in the interface | ”I couldn’t figure out where the settings were…” |
Gains Extraction
Section titled “Gains Extraction”What it finds: Desired outcomes, benefits sought, and positive experiences participants describe.
Best for:
- Understanding what users value
- Identifying feature opportunities
- Crafting value propositions
Output includes:
- Categorized gains with descriptions
- Supporting quotes from participants
- Insights into user motivations
Example output:
| Gain Category | Description | Supporting Quotes |
|---|---|---|
| Time savings | Users want to complete tasks faster | ”If I could do this in half the time, that would be amazing…” |
| Peace of mind | Users value reliability and trust | ”I just want to know it’s going to work every time…” |
Jobs to Be Done (JTBD)
Section titled “Jobs to Be Done (JTBD)”What it finds: The functional, emotional, and social tasks participants are trying to accomplish.
Best for:
- Product strategy and positioning
- Understanding user motivations
- Innovation and new feature development
Output includes:
- Jobs categorized by type (functional, emotional, social)
- Job statements in standard JTBD format
- Supporting evidence from interviews
Job Types:
| Type | Description | Example |
|---|---|---|
| Functional | Practical tasks to complete | ”Get to work on time” |
| Emotional | How users want to feel | ”Feel confident in my decisions” |
| Social | How users want to be perceived | ”Appear professional to colleagues” |
Forces of Progress
Section titled “Forces of Progress”What it finds: The four forces that drive or prevent behavior change, based on Jobs-to-be-Done methodology.
Best for:
- Understanding adoption barriers
- Crafting persuasive messaging
- Reducing friction in user journeys
The Four Forces:
| Force | Description | Questions It Answers |
|---|---|---|
| Push | Circumstances making users unhappy with current situation | ”What’s wrong with how things are now?” |
| Pull | Attraction to a better future state | ”What’s drawing them toward change?” |
| Anxiety | Fears and uncertainties about change | ”What’s holding them back?” |
| Habit | Existing behaviors that resist change | ”What routines would they have to break?” |
Example output:
- Push: “The old system crashes constantly” — frustration driving change
- Pull: “I’ve heard the new version is much faster” — appeal of solution
- Anxiety: “What if I lose all my data during migration?” — adoption barrier
- Habit: “I’ve used this workflow for 5 years” — resistance to change
Affinity Mapping
Section titled “Affinity Mapping”What it finds: Themes and patterns across multiple interviews, grouped by similarity.
Best for:
- Synthesizing large amounts of qualitative data
- Identifying common themes across participants
- Preparing data for further analysis
Output includes:
- Thematic clusters of related insights
- Key quotes organized by theme
- Visual hierarchy of findings
Calls Analysis
Section titled “Calls Analysis”What it finds: Call quality insights, conversation patterns, and agent performance indicators from call center recordings.
Best for:
- Evaluating call center agent performance
- Identifying common call patterns and outcomes
- Quality assurance for customer service calls
Availability: This analysis type is only available for Call Center Call projects.
Output includes:
- Call quality evaluation and scoring
- Conversation pattern analysis
- Key moments and actionable insights from calls
Custom Questions
Section titled “Custom Questions”What it finds: Answers to specific questions you define.
Best for:
- Targeted research questions
- Following up on specific hypotheses
- Extracting particular types of information
How to use:
- Select “Custom Questions” analysis type
- Enter your questions (one per line)
- The AI will search transcripts for relevant answers
Example questions:
- “What features do participants mention wanting?”
- “How do participants describe their onboarding experience?”
- “What competitors do participants mention?”
Analysis scope options: When analyzing multiple files, you choose a scope in the Analysis Wizard:
- All Conversations — analyzes all files together and returns combined answers across all conversations
- Per Conversation — analyzes each conversation individually. You will get answers to your questions for each conversation, plus a codification tab showing the most common answer categories across all conversations, similar to Survey Analysis
- Per Speaker — analyzes by speaker (available for Focus Group projects only). You will get answers broken down by individual speaker, plus codification stats across speakers