These are all the features or requirements you want to prioritize. They are placed on the matrix according to their importance and implementation difficulty. Lastly, there’s also features that are simply undesired and take away the positive impact of your other features. Before you dive right into prioritizing individual features, you need to break them up into smaller groups.
Constructing Your Matrix:
Feature prioritization involves analyzing customer needs, customer requests, business goals, technical feasibility, and resource constraints to determine which features to develop first. Keep iterating, keep learning, and most importantly, keep focusing on delivering value to your users. I encourage you to download the feature prioritization matrix template we’ve provided and start putting these concepts into practice. Whether you choose the MoSCoW method, RICE scoring model, or a custom approach, the key is to be systematic, involve stakeholders, and continually refine your Huta Digital OÜ process.
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The article presents three great examples, which our UX company uses effectively. Basic features need to be implemented first, followed by performance characteristics, and finally excitement characteristics. This matrix is also known as the Eisenhower Matrix, which classifies tasks based on their importance and urgency. According to this division, tasks can be divided into “important and urgent”, “important but not urgent”, “not important but urgent” and “not important and not urgent”.
So, let’s explore the 26 most popular product prioritization methods to be able to decide which one to choose. Story mapping is one of the most popular product feature prioritization models. Feature voting allows your customers (or team) to vote for the features they care about most.
Scorecards can get quite complex depending on the number of variables, but you can keep it simple too. For example, you might use a 2×2 prioritization matrix comparing value and effort. These can help you juggle ideas from many sources — customer ideas, requests from the sales team, and feedback from leadership.
- This means that each feature is calculated using a weighted average across all potential drivers (out of 100%) and determines its relative contribution to the final score.
- You can create custom fields within ClickUp Tasks to represent each RICE factor.
- While sometimes this can be a gut feeling, you can build consensus with executives and other stakeholders if you have the data to back up your roadmap.
- If you cannot find common criteria from looking at past decisions, you will need to start fresh.
In this case, a simple Priority Scorecard might be a better option. But this exercise helps you quickly gather input from a diverse group of people on your team. The goal is to find the features that will have the highest impact with the lowest effort. However, it’s not always easy to know where a feature fits on the matrix. The big picture—strategy and company goals—needs to be clear before you can debate the merits of each feature. Otherwise it’s like arguing whether to take a car or a boat when you don’t even know where you’re travelling to.
Another popular prioritization technique used by our team is the Kano Model. Understand deeply who your users are, their needs, and what their pain points are. You can collect this information through user interviews, feedback, surveys, etc. At the same time, consider any technical challenges that this feature may bring.
After going through all of these techniques you will have probably noticed that they each have contexts in which they make sense to be used and others when they don’t. As much as we’d like to, there are no prioritization silver bullets and we have to choose whatever is more appropriate for our product, team, industry, etc. At the same time, there are important commonalities among these methods that are worth pointing out.
Agile, unlike conventional product management methods, is about adaptability. These guiding principles form the bedrock for the eight prioritization techniques we’ll explore. You need new prioritization techniques that help you focus on the quality you deliver, not constant, rushed outputs.
