
One of the most common challenges faced by Agile teams is learning how to split user stories into smaller, manageable pieces. If you’re practicing Scrum, you’ve probably struggled with this at some point. I certainly did when I first started. In my early Scrum days, our backlog items were so big that we sometimes ran six-week sprints just to finish them. Over time, with practice, I realized that stories can be split much more effectively. In fact, with the right approach, our team could have completed one-day sprints if we wanted.
Splitting stories can feel hard in the beginning, but the good news is, there’s a simple framework that makes it easier: the SPIDR technique. If you’re learning Scrum from the best Scrum training institute in Hyderabad, such as HelloSM, you’ll definitely come across this method. It’s practical, easy to remember, and highly effective.
What is the SPIDR Technique?
The SPIDR technique is a set of five approaches that help Agile teams split large user stories into smaller, more manageable ones. SPIDR stands for:
- S – Spike
- P – Path
- I – Interfaces
- D – Data
- R – Rules
These five techniques were derived after analyzing thousands of user stories. The goal was to find the smallest possible set of methods that could be applied universally. Today, SPIDR is considered one of the best frameworks for story splitting and is taught by the top training institute for Scrum in Hyderabad and across India.
Let’s break down each technique with examples.
Splitting Stories Using a Spike (S)
A spike is essentially a research activity. Instead of jumping into development right away, the team spends time exploring, prototyping, or experimenting to gain clarity. For example, when YouTube developed automatic captions, the team might have done a spike to compare existing tools before deciding whether to build their own. By separating research into its own spike, the main story becomes smaller and easier to deliver in a sprint.
Splitting Stories by Path (P)
A path refers to different ways a user can achieve the same goal. Splitting by paths allows teams to focus on one option at a time. Take YouTube’s “share a video” feature. Users can copy a link, share via social media buttons, or customize the start time. Instead of building all 16 sharing options at once, a team can start with just one path—like generating a simple URL and expand later. This makes the work more manageable while still delivering value.
Splitting Stories by Interfaces (I)
Sometimes, complexity comes from supporting multiple interfaces—browsers, devices, or even user interface designs. Splitting by interface helps reduce this. For example, a team could first implement video sharing that only works in Chrome, and later expand to Safari, Firefox, and mobile apps. Another option is to start with a simple user interface, like a plain dropdown, and then enhance it with logos or animations in later stories. This approach delivers functionality faster while gradually improving the experience.
Splitting Stories by Data (D)
Large stories often involve handling complex data. To simplify, teams can restrict the type or amount of data supported in the first version. For example, YouTube supports 16 different video file formats. Instead of implementing all of them at once, a team could start with just one MP4 and expand later. Similarly, an HR system could begin by assuming each employee has one manager before adding support for multiple managers. By tackling simpler data sets first, teams deliver value earlier and reduce complexity.
Splitting Stories by Rules (R)
Every system has rules, but implementing all of them upfront can slow things down. Splitting by rules means temporarily relaxing some conditions. For instance, YouTube enforces strict copyright rules. But if you’re building a prototype video-sharing app, you might initially ignore those rules to get basic upload functionality working. Or consider user comments. Instead of filtering out offensive language immediately, the team could first deliver a basic commenting system and add filters in later iterations. This keeps progress moving while still allowing for refinement later.
Why Splitting Stories Matters?
Breaking down stories is not just about fitting work into sprints. It’s about:
- Delivering value faster
- Making progress visible and measurable
- Helping teams learn and adapt quickly
- Avoiding large, risky backlog items
Learning to split user stories is a game-changer for Agile teams. With the SPIDR technique, Spike, Path, Interfaces, Data, and Rules—you have a simple yet powerful framework that works in almost every scenario. The more you practice, the more natural story splitting becomes. And if you want expert guidance, consider training with HelloSM, the best Scrum training institute in Hyderabad and one of the top training institutes in India. Mastering story splitting is just one step toward becoming an exceptional Scrum professional and with the right training, your Agile journey will be much smoother.