### 👤 Who are we building for?
Identifying your key customer segments is one of the most important things you can do—because without clear targets, you're just building in the dark. Great software doesn't just work—it works _for someone_. It solves a real problem in a real context. Your job is to figure out who that someone is, what they care about, and why your solution fits their world.
Done well, customer segmentation lets you:
- Build with empathy and relevance
- Prioritize features that actually matter
- Avoid trying to be everything to everyone
- Create messaging that resonates with the right people
### 🧑‍💼 Customers
Begin by analyzing your existing customers, or—if you're early—your competitors’ customers or target market. If you're unsure where to start, look at your top 5 most engaged users or paying customers. Who are they? What do they have in common? Look for patterns and clusters across three key dimensions:
- **Demographics** – Basic identifiers like age, role, industry, company size, location, or income. These are easy to collect but often too broad to act on alone.
- **Behaviors** – What users _do_: how they find your product, how often they use it, what features they rely on, and how they engage.
- **[[Psychographics]]** – The deepest layer. What motivates them? What do they believe in? What are they afraid of? These insights are critical for building truly sticky, meaningful products.
### 🗣️ Qualitative research
This is where you go beyond the numbers and dig into the _why_. Talk to your users. Watch them use your product. If you haven’t had at least five awkwardly honest conversations with users, you probably don’t understand them yet. Ask open-ended questions like:
- “What’s the hardest part of your day right now?”
- “How are you solving this problem today?”
- “What almost made you not use our product?”
- “If we disappeared tomorrow, what would you do instead?”
Your goal is to uncover real stories, language, and pain points that numbers alone can't give you. These conversations help you empathize with your users and avoid building based on internal assumptions.
### đź“Š Quantitative research
Yay, data! Once you have qualitative insights, use quantitative data to validate, refine, or challenge what you’ve learned. This kind of research helps you identify scalable patterns and prioritize where to focus your efforts. This might include:
- Website or product analytics (e.g. feature usage, conversion rates)
- Surveys with structured questions (e.g. "How likely are you to recommend us?")
- Segment-level behavior (e.g. which types of users are churning or upgrading?)
- Market research on buying behavior or competitor comparisons