Skip to content
English
  • There are no suggestions because the search field is empty.

Insight Elements Values Explained 

Why topic totals may exceed category totals 

Why topic totals inside a category can be higher than the category total

In Caplena, all chart values and percentages are calculated on a respondent level.
This means every number you see represents how many respondents mentioned something, not how many topic assignments exist.

Because of this respondent-based logic, it is expected and correct that:

The sum of all topics inside a category can be higher than the category’s total.

 

Screenshot 2025-11-23 at 11.47.27

Below is the detailed explanation.


How counts in V3 charts work

1. Category counts = number of respondents who mentioned any topic in that category

Each respondent is counted once, even if their answer matches multiple topics inside the category.


2. Topic counts = number of respondents who mentioned that specific topic

If a respondent mentions multiple topics, they count once for each of those topics.


3. Therefore: topic totals can exceed the category total

Because topic counts include multiple mentions from the same respondent,
while the category count includes each respondent only once.

This is intentional and reflects the true underlying data structure.


Example from the Category: “PRODUCT QUALITY”

Let’s look at the exact numbers:

Screenshot 2025-11-23 at 11.55.07

Category: PRODUCT QUALITY — 38.2%

This means:

 38.2% of all respondents mentioned something about Product Quality.
Each respondent is counted once, even if their answer contains several aspects of quality.


Topics inside PRODUCT QUALITY

The chart shows several topics:

  • Picture Quality — 18.4% 

  • Reliability — 16%

  • Durability — 6.8%

  • Sound Quality — 6%

If you add these up, the total is much higher than 38.2%.

This is correct, because…


A single respondent can match multiple “Product Quality” topics

Example real-world comment:

CleanShot 2025-11-23 at 12.06.54@2x

Caplena assigned three topics:

Under PRODUCT QUALITY

  • Picture Quality

  • Sound Quality

Under PRODUCT FEATURES

  • Accessories

Here is what this means numerically:

1 respondent → 2 PRODUCT QUALITY topics

This respondent counts:

  • 1 for Picture Quality

  • 1 for Sound Quality

  • 1 total for PRODUCT QUALITY (category)

They do not count twice in the category even though they triggered two topics.