Blog Product ManagementTop 12 feature prioritization frameworks - how to pick the best one?

Top 12 feature prioritization frameworks - how to pick the best one?

Choosing the right features to work on can be tough, but with the right framework, it's easier. From the Value vs. Effort Matrix to ICE Score, we've covered the top 12 methods to help you decide what to build next. Dive into our guide to find the best fit for your team.

Product Management
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Prioritizing what to work on is one of the most important yet difficult tasks for product managers and founders.

What makes it so hard is that there isn't a one-size-fits-all solution - each team should find a solution that works for them.

With hundreds of feature ideas in your backlog, and with each customer telling you a different story, how can you do the best job of prioritizing that?

That's where feature prioritization frameworks come in.

However, with loads of options, understanding which framework works for you can actually be quite challenging.

But don't worry, in this article, we'll give you a detailed overview of the top 12 prioritization frameworks by carefully weighing the pros and cons so you can pick the right solution for your company.

If you're just here for a list of frameworks, then here's a quick overview of the most popular ones:

  1. Value vs. Effort Matrix: Helps teams evaluate features based on their value to the user versus the effort to implement.
  2. RICE Score: Considers Reach, Impact, Confidence, and Effort to prioritize features based on their potential value and feasibility.
  3. Kano Model: Categorizes features based on customer satisfaction, helping identify must-haves versus delights.
  4. MoSCoW Method: Sorts features into Must have, Should have, Could have, and Won't have categories to prioritize development.
  5. Weighted Scoring: Assigns scores to features based on various criteria, like impact and effort, to prioritize them objectively.
  6. Opportunity Scoring: Prioritizes features by assessing the gap between customer satisfaction and the importance of specific attributes.
  7. Story Mapping: Organizes user stories into a visual map, providing a narrative structure that helps prioritize based on user journey completeness.
  8. Lean Startup Method: Emphasizes quick, iterative cycles to test hypotheses and prioritize features that validate business assumptions.
  9. Feature Voting: Empowers users to directly influence the development roadmap by submitting and voting on feature suggestions, highlighting the most desired improvements based on community consensus.
  10. Priority Poker: A collaborative game-like approach where team members vote on feature priorities, getting a team consensus.
  11. Feature Buckets: Categorizes features into buckets such as "metric movers", "customer requests", and "delights" to ensure balanced development.
  12. ICE Score: Similar to RICE but simplifies it to Impact, Confidence, and Ease, making it easier to apply for smaller teams or projects.

What are prioritization frameworks and why are they important?

Prioritization frameworks are structured approaches that help product managers, founders, and teams decide which features, projects, or tasks to tackle first.

They're crucial because they bring clarity and direction to the chaotic process of product development.

With so many potential directions and customer requests to consider, these frameworks help teams to objectively evaluate options and make decisions that align with their strategic goals and resources.

Without a prioritization framework, product teams can waste time and resources on features that don't significantly benefit the user or contribute to the product's overall goals.

This can lead to missed opportunities, dissatisfied customers, and a product that falls behind the competition.

In short, prioritization frameworks help teams efficiently decide which features to develop by aligning tasks with strategic goals, improving decision-making, and ensuring adaptability, turning a chaotic backlog into a clear action plan for success. 

What are some prioritization mistakes to avoid?

The best way to understand a topic well is to invert it, so you at least know what not to do.

Here are common traps you should avoid:

  • Ignoring User Feedback: It's easy to fall into the trap of thinking we have all the answers, but this approach often leads to creating products that miss the mark. Regularly gather customer feedback through tools like Featurebase to ensure your product meets real needs.
  • Blindly Following User Feedback: While customer insights are invaluable, they shouldn't dictate every decision. Feedback from a few vocal users can turn your into a mess by cluttering it with niche features that don't serve the larger audience.
  • Copying Competitors: Just because a competitor has introduced a new feature doesn't automatically make it a good fit for your product. It's crucial to evaluate whether such features align with your product vision and user needs.
  • Chasing Trends: Jumping on the bandwagon of the latest tech trend, like AI or Web3, without assessing its relevance to your product often leads to wasted resources on features that don't add any value.
  • Opting for Easy or Fun Projects: While it's tempting to focus on projects that are straightforward or fun to build, this approach can steal your attention from more challenging but essential tasks that drive your business forward.

Even though these points might seem obvious, it's surprising how many startups fall into these traps.

Recognizing these traps is the first step toward developing a more strategic and effective approach to feature prioritization.

I might even say that not making these mistakes already puts you above the majority of startups. 

How should you pick the right framework?

Choosing the right feature prioritization framework for your company involves a careful balance of several factors.

Here are some tips to help you make the decision:

  • Assess Feedback Volume: If your product receives a lot of user feedback, look for frameworks that efficiently filter and prioritize this input, such as RICE or Kano Model, which can handle large datasets and diverse user opinions.
  • Consider Team Size: Smaller teams might benefit from simpler, more flexible frameworks like MoSCoW or the Value vs Effort Matrix, which don't require extensive data analysis. Larger teams, with more resources, might opt for more complex systems like RICE or Weighted Scoring that can incorporate multiple data points.
  • Evaluate Product Stage: Early-stage products, where flexibility is key, might do well with lean methodologies like the Lean Startup approach, focusing on quick iterations. More mature products could require detailed frameworks like Kano or RICE to refine and expand features strategically.
  • Understand Your Users: If your product serves a niche market with specific needs, frameworks that emphasize user satisfaction and feedback, such as the Kano Model, might be more beneficial. For broader markets, consider prioritization methods that balance user needs with business goals, like RICE or Cost-Benefit Analysis.
  • Align with Business Goals: Choose a framework that supports your long-term business objectives. If your primary goal is rapid product-led growth, frameworks that prioritize features based on potential market impact, like RICE or Opportunity Scoring, could be advantageous.

Keep in mind that picking the right framework is not a one-size-fits-all decision.

It requires understanding your unique circumstances and needs. By considering these factors, product managers can select a framework that not only suits their current situation but also adapts as their product and team evolve.

Now that you have a better understanding of how to pick the best framework for you, let's hop into the list of 12 prioritization frameworks.

What are the top prioritization frameworks?

1. Value vs. Effort Matrix

Featurebase value vs effort matrix
Featurebase Value vs Effort matrix

With the Value vs. Effort matrix, you can draw a simple chart: value on one side, effort on the other. Then, place your features based on how much value they provide versus how much effort they require. Aim for those in the "high value, low effort" zone as your starting point.

How It Works: Plot features on a grid based on their user value and the effort to develop them. Focus on features that deliver the most value with the least effort.

Best For: Small teams or startups that want to move quickly. It helps you make rapid, impactful decisions without spreading your resources too thin.

Why It's Used: It's a fast, visual way to ensure you're focusing on projects that offer the biggest bang for your buck, maximizing impact while minimizing wasted effort.

2. RICE Score

Rice score illustration

How It Works: You break down each feature's potential by looking at its Reach (how many people it'll impact), Impact (how significantly it'll affect users), Confidence (how sure you are about your estimates), and Effort (how much work it'll take to build). Add up these factors, and you get a score that helps you compare different features on a level playing field.

Best For: This method suits teams that love data and want to make decisions based on numbers. It's especially good when you have a mix of big and small features and need to figure out which ones will give you the most bang for your buck.

Why It's Used: RICE Score helps avoid the trap of just going with your gut. It makes you stop and think about the real impact of what you're planning to build, ensuring you're focusing on features that will make a real difference to your users and your bottom line.

RICE Score Framework: Definition, Template, and Prioritization Guide →

3. Kano Model

Kano model illustration

How It Works: The Kano Model organizes features into a chart with two axes: "High Satisfaction to Dissatisfaction" and "Expectations Exceeded to Expectations Not Met." Features are plotted on this chart within three main categories—Delighters (green line), Satisfiers (blue line), and Must-Haves (red line). This visual representation helps you understand not only what users expect but also what features will truly delight them.

Best For: This model is a great tool for any product, especially for those aiming to stand out by surpassing user expectations. It's great for identifying features that turn a standard user experience into an exceptional one.

Why It's Used: The Kano Model is all about finding the right balance between essential features and those that surprise and delight users. By plotting features across the satisfaction and expectations spectrum, you can strategically focus on enhancements that elevate the user experience, thereby boosting customer satisfaction and loyalty. This approach helps in crafting a product that not only meets the basic needs but also introduces unexpected joys, setting your offering apart in competitive markets.

4. MoSCoW Method

Moscow prioritization illustration

How It Works: You sort features into four buckets: Must haves, Should haves, Could haves, and Won't haves. This method forces you to make tough choices about what's truly essential for your next release versus nice-to-have or not necessary right now.

Best For: Great for teams with tight deadlines or limited resources, as it helps focus efforts on what's absolutely necessary first.

Why It's Used: It simplifies decision-making by clearly defining what needs to be done now and what can wait, ensuring critical features aren't overlooked in the rush to release new updates.

5. Weighted Scoring

How It Works: You assign points to each feature based on various factors like user impact, cost, and strategic alignment. Adding up the scores gives you a prioritized list based on objective criteria rather than gut feeling.

Best For: Teams that need a flexible framework that can adapt to different priorities or factors, as it allows for customized criteria tailored to each project's needs.

Why It's Used: This method brings a structured, yet customizable approach to prioritization, making it easier to justify why certain features should be developed over others based on a variety of important factors.

6. Opportunity Scoring

Opportunity scoring illustration

How It Works: This approach evaluates features by measuring the gap between how important an aspect is to your users and how satisfied they are with it currently. The bigger the gap, the bigger the opportunity for improvement.

Best For: Ideal for products looking to improve user satisfaction and engagement by focusing on areas with the most room for improvement.

Why It's Used: It helps identify hidden opportunities for impactful features by relying on direct user feedback, ensuring development efforts are directly tied to user needs and preferences.

7. Story Mapping

How It Works: By arranging user stories on a board to visualize the user journey, teams can see how features fit together to form a complete, cohesive user experience. This helps in prioritizing features that fill gaps or enhance the flow.

Best For: Agile teams focused on delivering a user-centered product, as it keeps the focus on creating a seamless and intuitive user journey.

Why It's Used: Story mapping ensures that development is aligned with real user needs and experiences, helping teams build products that are both useful and usable.

8. Lean Startup Method

How It Works: This iterative approach involves building a minimum viable product (MVP), measuring its success in the market, and learning from the results. Features are prioritized based on what's validated through real user feedback and data.

Best For: Startups and teams in dynamic markets where flexibility and speed are key to finding and capitalizing on what works.

Why It's Used: It minimizes the risk of investing heavily in features that users don't want, allowing teams to adapt quickly and efficiently to market demands.

9. Feature Voting

Featurebase's product illustration.
Sorting features by upvotes - Featurebase feedback portal

How It Works: Feature voting involves collecting user feedback where customers can suggest new features or improvements and vote on them. This democratic approach prioritizes features based on user demand, making it clear which enhancements are most desired by the user base.

Best For: Products with an engaged user community. It works well when you want to make product decisions driven by user demand, ensuring that the development team focuses on features that will genuinely enhance user satisfaction and engagement.

Why It's Used: It's a simple way to see what's important to your users. When lots of users vote for the same feature, you know it's something they really want. Plus, it makes users feel like they're part of the team, making your product better together.

10. Priority Poker

How It Works: Team members use cards to vote on the priority of different features, fostering discussion and consensus. It combines individual insights and preferences into a collective decision-making process.

Best For: Teams that value democratic decision-making and want to ensure every voice is heard in the prioritization process.

Why It's Used: It's an engaging way to bring different perspectives together, helping teams find common ground on what matters most and building team cohesion around the product roadmap.

11. Feature Buckets

How It Works: Features are grouped into buckets based on their purpose, like driving growth, satisfying users, or exploring new ideas. This helps balance the roadmap across short-term wins, user satisfaction, and long-term bets.

Best For: Product managers looking to maintain a strategic mix of objectives in their development pipeline, ensuring a balanced approach to growth, user needs, and innovation.

Why It's Used: It ensures a well-rounded product strategy that addresses immediate business needs while also investing in future growth and user delight.

12. ICE Score

How It Works: Simplifies prioritization by scoring features based on their Impact, Confidence in the estimates, and Ease of implementation. It's a quick way to rank ideas based on expected benefits and feasibility.

Best For: Smaller teams or projects that need a straightforward prioritization method that's easy to apply and understand.

Why It's Used: ICE Score offers a simplified yet effective way to make prioritization decisions, allowing teams to move quickly and focus on high-impact features without getting bogged down in complexity.


Choosing the right feature prioritization framework can seem difficult, but hopefully, you've now got a pretty good overview.

To level up your feature prioritization game even more, we have been working hard at Featurebase to create the best product management tool for modern startups.

It simplifies the process by collecting user feedback, and organizing it neatly so you can see what's trending, who's asking for what, and the potential value of each request.

With features like sorting by upvotes, customer segments, and even revenue potential, it brings clarity to what often feels like guesswork.

Moreover, Featurebase’s support for Value vs. Effort matrices offers a visual and straightforward way to prioritize. You can easily spot which features will deliver the most impact with the least effort, making your decision-making process smoother and more informed.

So, with a combination of the right framework and Featurebase’s insights, you're not just choosing what to work on next; you're strategically selecting features that align with your user's needs and your business goals. This balanced approach ensures your product development is always moving in the right direction, powered by data-driven decisions.

Sign up for Featurebase today →


1. What is a feature prioritization framework?

A feature prioritization framework is a structured approach that helps teams decide which features or improvements to focus on first in product development. It takes into account various factors like user needs, business goals, and resource availability to organize and rank feature ideas.

2. Why is feature prioritization important?

Feature prioritization is crucial because it ensures that a team's efforts and resources are focused on developing features that offer the most value to both the users and the business. It helps in managing limited resources effectively and aligning product development with strategic goals.

3. Can I use multiple prioritization frameworks at once?

While it's possible to draw insights from multiple frameworks, it's generally best to choose one primary framework for a particular project or phase. This keeps the prioritization process clear and manageable. However, you might switch frameworks between different projects or stages of development based on what fits best at that time.

4. How do I know which prioritization framework is best for my project?

Selecting the right framework depends on several factors, including your team size, project complexity, development stage, and specific goals. Start by understanding the strengths and intended use case of each framework, then match that with your project's needs. Trial and error can also be a part of finding the best fit.

5. How does user feedback fit into feature prioritization?

User feedback is a critical input for most prioritization frameworks. It provides direct insights into user needs and preferences, helping to gauge the potential impact and value of proposed features. Tools like Featurebase make it easier to collect, organize, and analyze this feedback in the context of prioritization.

6. What if the top-prioritized features are difficult to implement?

Sometimes, the features that promise the most value are also the most challenging to implement. In such cases, it's important to balance long-term value with short-term feasibility. Strategies can include breaking the feature down into smaller, more manageable parts or exploring alternative solutions that achieve similar user benefits.