Customer 2019

User Attribute Grid

A spreadsheet-style grid scoring every studied user against shared attributes, before anyone writes a persona.

What it is

Rows are the users actually studied; columns are the attributes that matter for comparing them, pre-identified or left to emerge from the data; each cell holds that user's score or value on that attribute, building a full comparison matrix across the group. The finished grid is meant to surface clusters of similar users and real outliers before anyone commits to a persona write-up.

Reach for it when

• User research has produced a stack of individual profiles with no way to see the whole population at once.
• A team keeps writing one persona per interviewee instead of finding the two or three real clusters.
• Personas need to distinguish primary users from secondary ones, and no one can point to the evidence.

Running it

1. Compile the complete list of studied users, one per row.
2. Pre-identify shared attributes as columns, or let them emerge as the data goes in.
3. Score each user against each attribute, cell by cell, building the full matrix.
4. Share the completed grid with participants within 24 hours, then convert emerging clusters into one-sheet personas.