Next, inside the app it is important for the user to see matches with their values for all brands/stores/products.
To match the values of the user and the brand,
I have taken an element from the dating app as the basis.
How it works: There is a topic that is matched by two different users and "matches" (matching topics) are visually highlighted for them. But as it is also important to display matching values (figure in %), we need to display two figures for matching values:
- Percentage of overlap between the user and the brand
- Percentage of alignment between the brand's stated views on value and its actual attitudes (collected through user voting)
And one figure at values that are indicated as important to the brand but not important to the user (without match):
- Percentage of alignment of the brand's stated views with their real cases (to calculate this point, a rating system is implied, in which any user can rate the brand's alignment with their stated values)
This is what it looks like in wireframes: