Persona Development

Evidence-based buyer personas from CRM data, not assumptions

20 minutesManual: 2-3 days

Builds buyer personas by analyzing actual customer data: CRM records, interview transcripts, support tickets, and usage patterns. Every persona attribute is grounded in evidence. Separates what you know from what you assume, so personas stay useful instead of becoming fiction.

Workflow Steps

1

Data Collection

/synthesize-knowledge

Aggregate customer data across CRM, support, product usage, and interviews

2

Pattern Clustering

/synthesize-knowledge

Identify natural persona clusters based on behavior and attributes

3

Persona Draft

/produce-content

Write persona documents with evidence-graded attributes

4

Validation

/skeptical-buyer

Challenge each persona: is this real or aspirational?

Example

Persona development from 80 customer records. Clustering reveals 3 distinct buyer types: the "Security-First Engineer" (buys for compliance, 45% of customers, evidence: strong), the "Speed-First Lead" (buys for deployment speed, 35%, evidence: strong), and the "Budget-Conscious Manager" (buys for consolidation, 20%, evidence: moderate). Each persona includes 5 graded attributes and 3 real quotes.

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Built and maintained by Victor Sowers at STEEPWORKS