Understanding Users

What is Customer Segmentation?

Segmentation is the practice of dividing your total addressable market into groups that share similar needs, behaviors, or characteristics, so you can prioritize and tailor discovery efforts.

Common Segmentation Approaches

• Demographic/Firmographic — age, role, company size, industry, geography.
• Behavioral — how people actually use the product (power users vs. casual users, frequency, feature usage).
• Needs-based — grouped by the job or problem they're trying to solve (most useful for discovery).
• Value-based — grouped by revenue potential or strategic importance to the business.

Why Needs-Based Segmentation Wins for Discovery

Demographics tell you who someone is; needs-based segments tell you why they'd use your product. Two users of wildly different ages and job titles might have the exact same underlying need — that's the segment that matters for solution design.

A Simple Segmentation Process

1. List the different types of users/customers you currently serve or want to serve.
2. For each, identify their core need, context of use, and willingness to pay.
3. Group similar needs together — these are your candidate segments.
4. Validate segments with real data (analytics, interviews) instead of assumptions.
5. Prioritize 1–3 segments to focus discovery on, rather than trying to serve everyone.

What is a User Persona?

A persona is a research-based, semi-fictional representation of a key user segment. It is a communication tool — it keeps the whole team focused on a real, specific human instead of an abstract "the user."

What a Good Persona Includes

• Name and a representative quote capturing their attitude.
• Goals and motivations — what they're trying to achieve.
• Pain points and frustrations — current obstacles.
• Context — role, environment, tools they already use.
• Behaviors — how tech-savvy they are, frequency of relevant tasks.

What a Good Persona Does NOT Include

• Invented details with no research backing (favorite coffee, pet's name) — these add color but no decision-making value if fabricated.
• A single persona representing "everyone" — that defeats the purpose of segmentation.

Building Personas from Research, Not Guesswork

Personas should be built from interview transcripts, survey data, and behavioral analytics — never purely from a brainstorm in a conference room. Weak personas based on assumptions actively mislead teams; strong ones, grounded in evidence, accelerate decisions because the team can ask "would Priya want this?" and have a real answer.

Using Personas in Discovery

• Reference personas when prioritizing opportunities — does this serve a primary persona?
• Revisit and update personas as you learn more; they are living artifacts, not one-and-done deliverables.