User Persona: Definition, Examples, and Template

A user persona is a research-based fictional profile that represents a group of people who use your product or website.

Say you sell running shoes. A beginner might need help understanding which features to look for, while an experienced runner might already know what they want and need filters to find it quickly. Both need shoes. Your store needs to help each persona find the right pair.

Ahead, learn what makes a useful user persona and how to create one that guides decisions for your business.

What is a user persona?

A user persona is a research-based, semifictional profile that represents a group of people with similar needs and behaviors when using your product or website. The details come from real customer data, including interviews, surveys, and observations of how people use your store.

The name may be invented, but the needs should have evidence behind them.

“Personas represent the needs and behaviors of a subset of users your product aims to delight,” says William Hudson, founder of Syntagm Ltd., in the Interaction Design Foundation course.

This supports user-centered design—making design decisions based on what people need and how they behave. As Nielsen Norman Group (NNG) says, personas make research easier to remember and discuss.

User persona vs. customer persona

A user persona focuses on how someone uses your product or website, while a customer persona focuses on why and how they buy. The same person can appear in both, but each type of persona helps you make different decisions.

• A user persona guides the experience. They capture people’s goals, habits, and frustrations when completing a task related to your brand.
• A customer persona guides marketing and sales. They’re also called buyer personas and capture purchasing motivations, objections, and buying habits.
• A user profile is an individual store customer record. In Shopify, these are called customer profiles. A profile is created in your Shopify admin when someone signs up for your mailing list or a customer account, places an order, or starts a checkout and abandons it. You can also create customer profiles with Shopify Sidekick. Give it a prompt like “Create a new customer named Sam Rivera with the email sam@example.com,” and it fills in the form for you.

What are the benefits of user personas?

User personas can help you make more informed decisions about your store.

• Choose what to build next. Compare proposed features against the needs your research uncovered. If shoppers struggle to compare products, a comparison tool has a clear purpose.
• Make products easier to find and compare. A persona captures how someone shops, including their device and the information they need before choosing.
• Give your team the same brief. Share personas with designers, copywriters, and outside agencies so everyone understands who they’re helping. As Nielsen Norman Group says, a persona’s name becomes shorthand for a shared set of needs and behaviors.
• Develop products that fit people’s routines. Recording when and why people use a product can reveal demand that sales totals alone won’t explain. Copper Cow Coffee’s customer research found that some fans saved their coffee for special occasions or bought it as gifts. The company responded with a lower-cost ground coffee line for everyday use.
• Give usability tests a clear purpose. The personas you create give you an idea of who you should recruit and what tasks you should investigate. According to NNG, personas can guide recruitment and design reviews, but testing still requires real people.

As Alan Cooper, dubbed the “Father of Visual BASIC,” writes in his book The Inmates are Running the Asylum: “Personas are the single most powerful design tool that we use. They are the foundation for all subsequent goal-directed design. Personas allow us to see the scope and nature of the design problem. … [They] are the bright light under which we do surgery.”

What to include in user personas

A user persona should be detailed enough to be useful for your team but short enough to be digestible.

Here are four elements to consider when creating a user persona template:

Characteristics

Give your persona a name and photo so your team can picture and remember them. Then add details relevant to their experience with your product, such as their knowledge level, daily responsibilities, or location. Include demographics like age or occupation when they help explain a need or constraint. 

Nielsen Norman Group recommends keeping details that inform decisions or make the persona memorable.

Goals

Describe what the person wants to accomplish by using your product. Be specific about the outcome they’re looking for.

Someone might reach for moisturizing lip balm to soothe occasional dryness, another person might seek relief from severely chapped lips, and a third might want a glossy finish. Those differences may justify separate personas if they change how you design the product or explain it.

Record a primary goal for each persona, then add secondary goals where your research supports them.

Pain points

Determine what pain points are holding the person back from reaching their goals. Consider both product issues and shopping-related obstacles, like unclear sizing information or difficulty comparing options.

In customer interviews, support conversations, and reviews, you can hear those frustrations in your customers’ own words. Shopify’s Searches with no results report adds another clue. Use the search counts to differentiate a one-time request from a recurring need to investigate in customer interviews.

Behaviors

Describe how people shop for and use the product, including what they buy first, how often they purchase, whether they reorder the same item, and where the product fits into their routine.

Shopify Analytics can help substantiate these purchasing patterns:

• The New vs returning customers report lets you compare orders from first-time and repeat buyers. The order counts and first and last order dates add context about purchasing history.
• The Customer cohort analysis report groups customers by when they first purchased and tracks their repeat purchases over time. Filter by the product in their first order to investigate whether, for example, shoppers who started with a single lip balm return differently from those who bought a gift set.
• The RFM group field groups customers by recency, frequency, and monetary spend: This is how recently they ordered, how many orders they’ve placed, and how much they’ve spent. Use it to investigate differences between frequent buyers and customers who haven’t returned.

Take Diane von Furstenberg. The fashion house uses Shopify POS to bring online and in-store purchase histories together. Their stylists can then review what customers bought or returned alongside notes about sizing and color preferences.

The team also checks Shopify’s Total sales by product report weekly to spot changing shopping habits and decide what to showcase or restock.

“Shopify’s reports visualize data in a way that makes sense out of the box. We have client information at our fingertips, which helps us deliver a great client experience,” says Joanna Puccio, assistant store manager.

User persona example

The energy drink brand GURU combined customer conversations with Shopify data to understand how its products fit into people’s lives. Their Marketing VP, Shingly Lee, reviewed customer feedback and direct messages alongside demographic and behavioral data from Shopify.

They found that customers in the running community were drinking GURU before workouts. That inspired the brand to partner with a run club to offer samples, gather feedback, and collaborate with runners.

From GURU’s customer insights, for instance, you could create a fictional profile like Alex, an ingredient-conscious runner looking for an energy drink to have before a run:

The profile connects the product to a specific moment in someone’s day. For a brand serving this persona, that could mean making ingredient information easy to compare and testing product-page explanations with runners. Further interviews could establish how often Alex uses the drink and what prompts a reorder.

GURU puts that ingredient focus on their homepage, highlighting green tea caffeine and real fruit extract alongside what’s left out. Someone like Alex can quickly check whether the drink fits their preferences.

User persona template

Use this template to turn your customer research into a profile your team can refer to when making decisions about your store. Create a separate user persona when you find a group with meaningfully different goals, pain points, or behaviors.

Start with patterns that appear across customer interviews, surveys, reviews, support conversations, and purchase records. Under each heading, write one or two specific observations.

Choose a fictional name and an optional representative image to make the profile memorable. Include details such as age, location, or occupation only when your research shows they affect the experience.

Leave fields blank when you don’t have supporting evidence. Revisit the profile as you collect new evidence.

To explore buying motivations in more detail, try Shopify’s free buyer persona template. For your user persona, focus on what people need to accomplish and what gets in their way when using your product or store.

How to create a user persona

1. Conduct user research
2. Segment users
3. Write your personas

Here’s how to create accurate user personas:

1. Conduct user research

Your own experience can give you a starting point. In Shopify’s Q4 2025 survey of store owners,* 57% said they used personal experience to validate their business idea.

When you’re creating personas, research how other people experience the problem you’re solving.

Get feedback from people who have used or purchased your product recently. Listen to first-time customers, regulars, and people who stopped purchasing to get a feel for the range of experiences. If you haven’t launched your product yet, ask for feedback from people who use similar products.

For a shorter feedback process, use Shopify Forms to add an inline form to a page in your store. The custom fields support multiple-choice questions and longer written answers, so you could ask how customers use your product and give them space to explain.

For planning, budget for around 12 customer interviews if you’re exploring a focused question with people who have similar needs, according to User Interviews.

Review your notes as you go: If interviews keep revealing different goals or obstacles, you still have more to learn.

2. Segment users

Review your research for recurring goals, frustrations, and behaviors, then group people who share them.

Each segment, however, doesn’t automatically need its own persona. A person in a different age bracket or from a different location may require the same guidance. Combine groups with overlapping needs, and prioritize those most relevant to the product or store experience you’re trying to improve.

Nielsen Norman Group recommends combining similar groups and removing those less relevant to your project. Keep the number manageable, too.

The Interaction Design Foundation says small projects typically need one primary persona, while larger projects may need more. Shopify customer segments can help you investigate these groups. They’re customer lists defined by rules, with people automatically added or removed as they meet or stop meeting the criteria.

Start with a segment template and adapt its filters, then use interviews to understand the needs behind the purchasing patterns.

For example, Maggy London used Shopify Sidekick to examine purchasing across their six brands. The team discovered that customers shopped across labels interchangeably, which changed its approach to cross-brand merchandising and marketing.

“Sidekick turned our ecom team into a strategic intelligence hub for the whole company,” says Sara Bako, president.

3. Write your personas

Use the template above to turn each priority group into a profile. Give it a name, summarize its main goal, and add the characteristics, pain points, and behaviors supported by your research.

Alongside each persona, note one practical implication, like clearer sizing guidance, filters for specific features, or instructions that help someone use the product. Then link back to the supporting research so your teammates can check the evidence.

Revisit your personas when you launch a new product, enter a new market, or notice a shift in customer feedback or purchasing patterns. Before a store redesign, check that the profiles still reflect what customers need.

How to create a user persona with AI

AI can turn interview notes, survey responses, and store data into a first draft of a persona. But the research still needs to come from your customers.

According to Shopify’s Q4 2025 survey of store owners,* content generation was the most common AI use case, reported by 69% of retailers already using AI.

Start with these steps:

1. Explore your store data with Sidekick. Shopify’s AI assistant can answer questions about new and returning customers, order counts, and RFM groups. Use the findings alongside customer interviews to understand what might explain the differences.
2. Prepare your research for drafting. Give an external AI tool relevant interview excerpts, survey findings, recurring support questions, and summarized purchasing patterns. Include the research dates, sample sizes, and the store decision you’re trying to make. Remove names, email addresses, phone numbers, street addresses, order IDs, and details within comments that could identify someone.
3. Set clear limits in your prompt. Specify the persona sections you want and instruct the tool to leave unsupported fields blank.
4. Check the draft against the originals. Look for invented details, exaggerated patterns, and frustrations that have been softened or omitted. YouGov’s guidance on AI personas emphasizes reliable data and human review because AI can fill gaps with assumptions.

There’s a good reason to check for overly flattering profiles: A 2025 study of AI-generated personas, which surveyed 17 persona experts, ranked hallucinations and over-sanitization among the biggest concerns about AI-generated user personas.

The term “over-sanitization” refers to making users seem happier than they are. If you want to improve the user experience, it’s important that your persona preserves confusion, complaints, and abandoned attempts.

Read all about the top AI marketing tools for ecommerce in 2026.

*Based on a November 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.