Why User Stories Matter in MarTech Solutions
A little bit of product design goes a long way in MarTech.
Someone recently asked me why I included a “User Stories” section in a project template I created. It was a fair question—it might seem like extra work or formality when you just want to get to the technical implementation.
But here’s the thing: user stories are one of the most powerful tools in a technical marketer’s arsenal, and I’m going to show you why.
What Are User Stories?
User stories are a common product design exercise, and they’re deceptively simple. They force you to put yourself in the shoes of the actual end user of the finished product. All you have to do is complete this sentence:
“As a user, I want to... {{insert end-product use case here}}”
That’s it. But don’t let the simplicity fool you—this exercise does some heavy lifting.
When you write user stories, you step out of “implementation mode” and into “outcome mode.”
Instead of thinking “I need to connect to the API and pull metrics,” you think “I need to see my data in a way that helps me make decisions.” That shift in perspective offers an accessible way to identify technical requirements and challenges before you start the work.
User stories also act as a reality check. They help you catch scope creep before it happens, identify missing questions you hadn’t considered, and—crucially—separate what users actually need from what you think would be cool to build.
Before you dive into the technical weeds, user stories help you narrow down exactly what you’re looking for. They give you a North Star to refer back to when you’re three levels deep in documentation trying to figure out why the API response doesn’t match what you expected.
Example: Email Metrics Dashboard
Let me show you how this works with a real scenario. Say you’re building an email metrics dashboard.
The user stories might look like this:
“As a user, I want to see all of my email metrics in one spreadsheet.”
“As a user, I want to see my email metrics grouped by journey.”
“As a user, I want to easily know what campaign I’m looking at (human readable) when I’m seeing campaign metrics.”
Simple enough, right? These feel almost obvious when you read them.
Here’s where it gets interesting.
A Solution Architect can deduce from these user stories—which you assume are all true—that they must:
Integrate the marketing platform with a spreadsheet application
Include or map journey information to the campaign metrics
Map campaign names to campaign metrics you pull from the marketing platform (probably requires another API endpoint)
But wait, there’s more!
If you dig deeper into those user stories, you’ll uncover even more requirements:
Data refresh logic: “See all my email metrics” implies the data needs to stay current. Do you need scheduled refreshes? Real-time updates? All of this will need clarification before completing the project.
Error handling: What does the user see if a campaign has metrics but no associated journey (i.e. a Blast Email)? Do you show an error, a null value, or default it to “Uncategorized”?
Authentication: You need to authenticate with the marketing platform API. What kind of API key do you need? What permissions are involved with that key? Do you need to handle token refreshes? What happens when credentials expire?
Data transformation: Email platforms often return nested JSON objects or even CSV responses. You’ll need to parse and format that response into spreadsheet-friendly rows and columns.
Performance considerations: If you’re pulling metrics for hundreds of campaigns across multiple journeys, you need pagination logic and possibly caching to avoid timeouts.
Data validation: What if the API returns a campaign with a null name? Or metrics in an unexpected format? You need validation logic before you write to the spreadsheet.
See what happened there? Three straightforward user desires turned into at least nine distinct technical requirements, including multiple API endpoints, error handling strategies, and data transformation logic you might not have initially planned for.
Why User Stories Matter
User stories give you key information about the steps needed to plan and implement a solution. What seems simple or “given” to a user may require several extra steps to complete the project.
That “human readable campaign name” requirement? You potentially need to make an entire additional API call, write data mapping logic, and handle errors.
Without writing these user stories down, you might build a technically perfect dashboard that pulls all the metrics... but displays campaign IDs like “12847” instead of “Holiday Sale - December Promotion.”
Technically correct, functionally useless.
At Modular, our Solution Architects live at the intersection of lifecycle team needs and technical implementation. User stories bridge those two worlds. They force us to think like end users before we think like developers, which means we build solutions that actually solve problems instead of just demonstrating technical capability.