Analysis Types

Analysis Types

Open-Ended Analysis

Best for: General open-ended questions like “What did you like about the product?” or “How can we improve?”

How it works:

1. AI reads all responses to understand common themes
2. Creates a codebook of categories that represent the data
3. Assigns each response to one or more categories
4. Produces frequency counts and percentages
5. Output Excel file will contain:
   • codebook with category definitions
   • category codes in front of each response

Example input:

“The app is really fast and easy to use” “I love how quickly I can find what I need” “The interface is confusing and hard to navigate”

Example output codebook:

Code	Category	Count	%
1	Speed/Performance	45	22%
2	Ease of Use	38	19%
3	Navigation Issues	31	15%
4	Visual Design	25	12%

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Brand Analysis

Best for: Questions asking about brand awareness, preferences, or mentions like “What brands come to mind when you think of smartphones?”

How it works:

1. AI identifies all brand names mentioned in responses
2. Standardizes variations (e.g., “Apple,” “apple,” “APPLE” → “Apple”)
3. Creates a code for each unique brand
4. Counts mentions and calculates share of voice
5. Output Excel file will contain:
   • codebook with brand definitions
   • brand codes in front of each response

Example input:

“I usually buy Samsung or sometimes Apple” “Definitely iPhone, I’ve always been an Apple person” “I prefer Google Pixel phones”

Example output codebook:

Code	Brand	Mentions	%
1	Apple/iPhone	156	35%
2	Samsung	98	22%
3	Google Pixel	45	10%