How to Write User Stories for Web Design Projects

Written by
William Lee
October 14, 2026
3 min read
User stories are a foundational tool for aligning design and development around real user needs. Learn how AI can generate structured user stories in minutes to accelerate your UX and web design workflow.

Introduction

User stories are a foundational tool in UX research and web design. They keep design and development decisions grounded in user needs rather than assumptions. This guide explains what user stories are, why they matter for web projects, how to write them well, and how to use them to structure a Webflow build.

What Are User Stories in Web Design?

A user story is a short, structured description of a feature or function told from the perspective of the end user. The standard format is:

"As a [type of user], I want [a goal] so that [a benefit or reason]."

User stories keep design and development decisions grounded in user needs rather than assumptions. They are widely used in agile development, UX research, and product design to define what to build and why.

Why User Stories Matter for Web Projects

Without user stories, design decisions get made based on what the client wants rather than what the user needs. These two things are often not the same. User stories create a shared language between designers, developers, and clients. They make it easier to prioritise features, resolve disagreements, and stay focused on what matters during a build.

For Webflow projects specifically, user stories help determine which pages to create, which CMS collections to set up, and which components to prioritise in the design system.

When User Stories Are Most Useful

User stories work especially well at the start of a project, when you need to define what to build before anyone opens Webflow. They are also useful during reviews when scope starts to expand, as a way to test whether a new feature request maps to a real user need.

They pair naturally with feature matrices and product scope definitions, which take the user stories as input and produce a prioritised build plan.

Sample User Stories

Here are three example user stories for a Toronto-based vinyl vehicle wrap service.

User Story 1: Fleet Manager

Persona: Sarah, a fleet operations manager at a regional delivery company with 25 vehicles.

Need: As a fleet manager, I want to quickly understand what fleet wrap packages are available and how the process works, so that I can decide whether to request a quote without having to call first.

Purpose: Reduce friction before the first conversion action. Design implication: fleet-specific landing content and a clear enquiry path that does not require a phone call.

User Story 2: Small Business Owner

Persona: Marcus, a sole trader who runs a plumbing business with one van.

Need: As a small business owner, I want to see examples of wraps done for similar trades businesses, so that I can visualise what my vehicle could look like before I commit to a consultation.

Purpose: Build confidence and reduce perceived risk. Design implication: a filterable portfolio with trade and service business categories.

User Story 3: Returning Customer

Persona: David, a returning client who had one vehicle wrapped two years ago and now wants to add two more.

Need: As a returning client, I want to contact the company quickly without re-explaining my history, so that I can get a quote for additional vehicles efficiently.

Purpose: Reduce friction for repeat customers. Design implication: a contact form with a field for existing client reference or job number.

What Makes a Good User Story?

A strong user story is specific enough to act on. Avoid broad stories like "As a user, I want the site to be fast." That provides no actionable direction. Instead, write: "As a mobile user on a slow connection, I want product images to load progressively so I do not leave before the page is ready." That story tells you exactly what to build and why.

Good user stories are also testable. You should be able to design a usability test task directly from each story to verify whether the design successfully addresses the need.

How Many User Stories Do You Need?

For a straightforward marketing site, 8 to 15 stories covering the primary user journeys is usually sufficient. For a larger site with multiple user types, 20 to 30 stories may be needed to cover all key flows.

Start with your primary user journeys, the paths that most users take most often. Add secondary stories once the core is covered. Use realistic user scenarios to bring each story to life with more context and detail.

Turning User Stories Into a Webflow Website

User stories directly inform how you structure a Webflow build. Each story helps define which pages to create, which CMS collections to set up, and which components to prioritise.

For example, the story "As a returning client, I want to view past project portfolios filtered by industry" directly informs the need for a filterable portfolio CMS in Webflow, with a category field and filter interaction built into the design.

If you are planning a Webflow website and want to start with a solid UX foundation, our team can help. See our Webflow portfolio for examples of research-informed builds.

Validating User Stories

Stories generated from workshops or desk research are a starting hypothesis, not finished research. Always validate them against real users through interviews, surveys, or usability testing. A story that seems obvious in a workshop often turns out to be wrong once you test it with actual users.

Use UX interview questions to probe the motivations behind each story, and use affinity diagrams to group insights from multiple users into patterns.

Conclusion

User stories are one of the most effective tools for keeping web design user-focused. When written well, they create alignment between designers, developers, and clients, and they give everyone a shared reference point for making decisions throughout the project.

The best websites are not built around features. They are built around people. User stories keep you focused on what actually matters: solving real problems for real users.

How to Write User Stories for Web Design Projects

Written by
William Lee
October 14, 2026
3 min read
User stories are a foundational tool for aligning design and development around real user needs. Learn how AI can generate structured user stories in minutes to accelerate your UX and web design workflow.

Introduction

User stories are a foundational tool in UX research and web design. They keep design and development decisions grounded in user needs rather than assumptions. This guide explains what user stories are, why they matter for web projects, how to write them well, and how to use them to structure a Webflow build.

What Are User Stories in Web Design?

A user story is a short, structured description of a feature or function told from the perspective of the end user. The standard format is:

"As a [type of user], I want [a goal] so that [a benefit or reason]."

User stories keep design and development decisions grounded in user needs rather than assumptions. They are widely used in agile development, UX research, and product design to define what to build and why.

Why User Stories Matter for Web Projects

Without user stories, design decisions get made based on what the client wants rather than what the user needs. These two things are often not the same. User stories create a shared language between designers, developers, and clients. They make it easier to prioritise features, resolve disagreements, and stay focused on what matters during a build.

For Webflow projects specifically, user stories help determine which pages to create, which CMS collections to set up, and which components to prioritise in the design system.

When User Stories Are Most Useful

User stories work especially well at the start of a project, when you need to define what to build before anyone opens Webflow. They are also useful during reviews when scope starts to expand, as a way to test whether a new feature request maps to a real user need.

They pair naturally with feature matrices and product scope definitions, which take the user stories as input and produce a prioritised build plan.

Sample User Stories

Here are three example user stories for a Toronto-based vinyl vehicle wrap service.

User Story 1: Fleet Manager

Persona: Sarah, a fleet operations manager at a regional delivery company with 25 vehicles.

Need: As a fleet manager, I want to quickly understand what fleet wrap packages are available and how the process works, so that I can decide whether to request a quote without having to call first.

Purpose: Reduce friction before the first conversion action. Design implication: fleet-specific landing content and a clear enquiry path that does not require a phone call.

User Story 2: Small Business Owner

Persona: Marcus, a sole trader who runs a plumbing business with one van.

Need: As a small business owner, I want to see examples of wraps done for similar trades businesses, so that I can visualise what my vehicle could look like before I commit to a consultation.

Purpose: Build confidence and reduce perceived risk. Design implication: a filterable portfolio with trade and service business categories.

User Story 3: Returning Customer

Persona: David, a returning client who had one vehicle wrapped two years ago and now wants to add two more.

Need: As a returning client, I want to contact the company quickly without re-explaining my history, so that I can get a quote for additional vehicles efficiently.

Purpose: Reduce friction for repeat customers. Design implication: a contact form with a field for existing client reference or job number.

What Makes a Good User Story?

A strong user story is specific enough to act on. Avoid broad stories like "As a user, I want the site to be fast." That provides no actionable direction. Instead, write: "As a mobile user on a slow connection, I want product images to load progressively so I do not leave before the page is ready." That story tells you exactly what to build and why.

Good user stories are also testable. You should be able to design a usability test task directly from each story to verify whether the design successfully addresses the need.

How Many User Stories Do You Need?

For a straightforward marketing site, 8 to 15 stories covering the primary user journeys is usually sufficient. For a larger site with multiple user types, 20 to 30 stories may be needed to cover all key flows.

Start with your primary user journeys, the paths that most users take most often. Add secondary stories once the core is covered. Use realistic user scenarios to bring each story to life with more context and detail.

Turning User Stories Into a Webflow Website

User stories directly inform how you structure a Webflow build. Each story helps define which pages to create, which CMS collections to set up, and which components to prioritise.

For example, the story "As a returning client, I want to view past project portfolios filtered by industry" directly informs the need for a filterable portfolio CMS in Webflow, with a category field and filter interaction built into the design.

If you are planning a Webflow website and want to start with a solid UX foundation, our team can help. See our Webflow portfolio for examples of research-informed builds.

Validating User Stories

Stories generated from workshops or desk research are a starting hypothesis, not finished research. Always validate them against real users through interviews, surveys, or usability testing. A story that seems obvious in a workshop often turns out to be wrong once you test it with actual users.

Use UX interview questions to probe the motivations behind each story, and use affinity diagrams to group insights from multiple users into patterns.

Conclusion

User stories are one of the most effective tools for keeping web design user-focused. When written well, they create alignment between designers, developers, and clients, and they give everyone a shared reference point for making decisions throughout the project.

The best websites are not built around features. They are built around people. User stories keep you focused on what actually matters: solving real problems for real users.

Frequently Asked Questions

What is a user story in UX and web design?

What makes a good user story?

How many user stories do I need for a web design project?

How do user stories improve Webflow website development?

How can AI generate user stories for web design?

How are user stories different from requirements?

Should user stories be based on real user research?

Can I use AI to generate acceptance criteria for user stories?

Ready to build something coherent?

Let's talk. We're dedicated to bringing your vision to life.

sample glossary link
search-intent
Search intent
The reason behind a search - learning, comparing, or buying. "What is AEO" and "AEO agency near me" are different intents and need different content.
featured-snippet-people-also-ask
Featured snippet / People Also Ask
Google's answer boxes that appear above or inside the link list. Like FAQ blocks, they're easy pickings for AI answer engines.
robots-txt
robots.txt
A file that tells crawlers what to read and what to skip. It's how you keep draft or private pages out of search results.
sitemap
Sitemap (sitemap.xml)
A file listing every page on your site, submitted so crawlers can find them all.
core-web-vitals
Core Web Vitals
Google's speed and usability scores for your pages. Slow, awkward pages get buried in both search and AI citations.
ga4
GA4 (Google Analytics 4)
Google's free dashboard showing who visits your site and where they come from - including AI-referred visitors. The default way to measure whether all of this is working.
ai-referred-traffic
AI-referred traffic
Visits to your website that started with an AI answer. You can see this in analytics as a traffic source, alongside Google and social.
sentiment
Sentiment
Whether the AI describes your brand positively, neutrally, or negatively. AI usually reflects what your site and third-party pages say, so sentiment is fixable.
mention-rate
Mention rate
How often your brand is mentioned at all in AI answers, with or without a link. Mentions matter because they shape what customers remember.
citation-rate
Citation rate
The percentage of AI answers about your industry that cite your website as a source. Most companies today are cited in well under 10% of answers - the bar is low and the opportunity is real.
share-of-voice
Share of voice
How often AI answers mention your brand compared to competitors. This replaces "keyword ranking" as the scoreboard in an AI-search world.
faq-content
FAQ content
Question-and-answer blocks on your pages. Both Google and AI tools lift answers straight from these, which makes them one of the easiest AEO wins.
authority-e-e-a-t
Authority / E-E-A-T
How trustworthy search engines and AI judge your site: Experience, Expertise, Authoritativeness, and Trust. Show who writes your content and why they know the topic.
indexing
Indexing
Being stored in a search engine's or AI system's database so you can appear in results. A crawled page that isn't indexed is invisible.
crawling
Crawling
The process of search and AI bots reading your website. If bots can't read your pages, you can't rank or be cited.
llms-txt
llms.txt
A small file on your website that tells AI tools which pages to read. Think of it as a table of contents written for robots.
entity
Entity
The machine-readable version of who your business is: consistent name, logo, contact details, and social profiles across the web. AI tools stitch these together to decide what to say about you.
schema-markup
Structured data / schema markup
Extra code on your pages that spells out what your content is - your business name and address, FAQs, reviews, articles - in a format machines can read. It is the difference between "a webpage" and "a business record."
rag
RAG (Retrieval-Augmented Generation)
How answer engines work: they first pull real content from the web, then generate an answer from it. This is why your website copy feeds AI answers - and why AEO works at all.
hallucination
Hallucination
When AI confidently says something false. For a business, this matters: an AI may describe your services, pricing, or hours incorrectly, and customers will believe it unless your website tells the correct story.
ai-citation
AI citation / AI mention
When an answer engine names your business or links your site as a source. Being cited builds trust; being left out means AI customers never hear about you.
geo
GEO (Generative Engine Optimization)
The same practice as AEO under a different name. Treat them as one thing.
aeo
AEO (Answer Engine Optimization)
Getting your business cited and recommended when customers ask AI tools about your industry. If SEO is ranking in a list, AEO is being the named source in the answer.
ai-overview
AI Overview (AIO)
Google's AI answer box at the top of some search results. It summarizes sources - including possibly your website - before the regular link list.
generative-ai
Generative AI (gen AI)
AI that creates new text, images, or code rather than just finding existing content. ChatGPT is the most famous example.
llm
LLM (Large Language Model)
The AI technology behind answer engines. It predicts text based on patterns learned from huge amounts of writing. When people say "the AI," they usually mean an LLM.
answer-engine
Answer engine
A tool that answers your question directly with a written, cited answer instead of a list of links. The main ones: ChatGPT, Gemini, Perplexity, and Google's AI Overviews.
zero-click-search
Zero-click search
A search that ends without any click because the answer is shown right on the results page - a snippet, a map, or an AI answer. More than half of searches now end this way, which is the whole reason AEO exists.
click-through-rate
Click-through rate (CTR)
The share of people who see your business in results and actually click. Low CTR usually means your listing doesn't match what people searched for.
keyword
Keyword
The word or phrase a customer types, like "Webflow agency Toronto" or "SEO audit for my website." Most search and AI strategies start with knowing which keywords your customers use.
seo
SEO (Search Engine Optimization)
Improving your website so it ranks higher in search results. Historically this meant keywords, titles, and links; today it also includes feeding AI tools.
map-box
Map box (map pack)
The map Google shows for location-based searches like "dentist near me" or "webflow agency toronto," usually with three businesses listed next to it. For local searches, the map box gets most of the attention and clicks, so being in it can matter more than ranking first in the regular links.
answer-box-featured-snippet
Answer box (featured snippet)
The box at the top of some Google results that answers the question directly with a short paragraph, list, table, or video pulled from a webpage - usually with a link crediting your site. It solves the searcher's problem on the spot and can boost your click-through rate, which is why getting featured in it is worth optimizing for.
organic-results
Organic results
The unpaid listings on a results page. Unlike ads, you earn these by being relevant - that is what SEO and AEO work toward.
serp
SERP (Search Engine Results Page)
The page of results a search engine shows after someone searches. The higher your business appears on it, the more people see you.
search-engine
Search engine
The website where people type questions and get results - Google and Bing are the big two. It works by ranking pages and showing them as a list of links.