Persona Analytics

Persona Analytics is about:

• Refining Persona assumptions about a problem (related to an Opportunity/Feedback).
• Finding new insights, like other pain points your customers are experiencing.
• Understanding user behaviour when using your/competitor product(s).
• Gathering voice of the customer data.
• And much more.

To perform Persona Analytics, you'd follow these steps:

1. Define a Desired Outcome.
2. Define an Opportunity or Collect Feedback from Customers.
3. Define a Persona (and related assumptions).
4. Conduct Qualitative/Quantitative Research Studies.
5. Tag and Theme, customer responses, observations and interview transcripts.
6. There are several options:
   
   • Review the chart to see how many research participants match or are similar to the assumed persona (should take a most 1 minute).
   • Use filtering to include/exclude specif tags, to focus on a specific segment of customers (e.g. those that is enterprise).
   • Use 'Focus on Tag' to find new personas that also experience the same problem.
   • Use 'Focus on Tag' to find new more intense pain points.
7. Refine the assumptions and if necessary, run another research study e.g. quantitative, to confirm the qualitative finds with a wider audience.
8. Mark the persona as validated or invalidate, based on the research findings.
9. Define the 'Effort' Priority Factor
   4

   Value

   1 - 5
   and assign a score to the Opportunity
   Value

   4
   .