This article was automatically translated from the original Turkish version.

RICE Method

In decision-making processes related to projects, features, and other initiatives, product teams frequently encounter a large number of ideas. While each of these ideas has the potential to yield positive outcomes, it becomes difficult to clearly determine which projects should be prioritized and how resources can be allocated most efficiently. In such situations, a structured framework is needed to simplify decision-making and reduce subjectivity. At this point, the RICE Method (Reach, Impact, Confidence, Effort – Reach, Impact, Confidence, Effort) is applied. Through this method, product managers can systematically evaluate ideas and decide which initiatives to prioritize before creating a product roadmap. RICE enables an objective comparison of project impact versus required effort by assigning numerical values that convert abstract qualities into measurable data points. Emotional approaches are deliberately excluded from the decision process, making it easier for teams to reach consensus.

The RICE Method is defined as a scoring system used by product managers to prioritize elements to be included in a product roadmap. Within this system, products, features, or initiatives are assessed. The acronym represents four key factors: Reach, Impact, Confidence, and Effort. Based on these factors, the priority of each idea is determined.

When preparing a product roadmap, prioritization often presents a significant challenge. Decisions must be made regarding the order in which numerous ideas should be addressed. This decision-making process requires consideration of many factors, including personal preferences, projects that directly contribute to goals, ideas with high confidence levels, and the effort required by each project. Combining and consistently evaluating these factors can be difficult. Therefore, scoring systems like RICE are employed. Through an appropriate prioritization framework, each project idea’s various dimensions can be systematically assessed, enabling consistent and systematic decisions.

How Is Reach Determined?

When evaluating the Reach factor, an estimate is made of how many people a project or feature will affect within a specific time period. This time period can be defined as a month, a quarter, or a year. Reach is typically measured by the number of people impacted or the number of specific events occurring. Metrics such as the number of customers per quarter or page views per month are commonly used. These values should ideally be supported by quantitative indicators such as product data.

Some sources assume that the Reach score is directly equal to the number of people reached. For example, if a project is expected to attract 150 new customers, the Reach score is set to 150. Alternative calculation methods involve multiplying the number of customers reaching specific points in the funnel by conversion rates to estimate Reach.

In a simplified approach, Reach is categorized and scored based on different user groups. For example:

All current users: 4 points
Part of the user base: 2 points
New users: 1 point

This method disregards details such as time intervals or usage frequency, but it provides sufficient signal and speed for prioritization.

How Is Impact Determined?

The Impact factor aims to measure the magnitude of change, in contrast to Reach, which measures quantity. For instance, when introducing a new paid feature, Reach represents the number of users affected, while Impact represents the change in their conversion rate. Although measuring Impact is not as straightforward as measuring Reach, most teams evaluate it using scales ranging from 1 to 3 or 0.25 to 3. Although these scores are based on estimates, they introduce relative objectivity into the decision process.

Quantifying Impact is not as easy as quantifying Reach. Many teams use a scale from 1 to 3 to rate Impact:

1: Low impact
2: Medium impact
3: High impact

Other sources use a more detailed five-point scale:

3: Massive impact
2: High impact
1: Medium impact
0.5: Low impact
0.25: Minimal impact

This scale, while not providing exact numbers, offers a better reference point than pure estimation. Impact should be determined based on the intended outcome—such as increasing conversion rates, adoption, or satisfaction. Some methods categorize Impact into labels such as “game-changer,” “significant value,” and “some value,” and ideas deemed to have negligible value are typically excluded from the roadmap. It is recommended that Impact assessments be conducted at the product organization level rather than at the individual feature level.

How Is Confidence Determined?

The Confidence score represents the level of certainty that a project will achieve its expected impact. Projects lacking sufficient supporting data may be questioned for feasibility. Therefore, Confidence is expressed as percentages (e.g., 100%, 80%, 50%) to help reduce subjectivity during evaluation.

Commonly used percentage ranges are:

100%: Total confidence or high confidence. This means you have metrics and research supporting your estimates for Reach, Impact, and Effort.
80%: Optimism but not total certainty or medium confidence. This may indicate you are optimistic about two of the three criteria.
50%: Low confidence. This may mean you are uncertain about two of the three criteria.
Any value below 50% is very low and indicates a low probability of project success. If a project’s Confidence is low, its success is unlikely. It is essential to be honest in your estimations.

In a simplified approach, Confidence levels are categorized as follows:

80%: High confidence – supported by both qualitative and quantitative data
50%: Medium confidence – supported by only one type of data
30%: Low confidence – limited data available, not yet sufficient to justify a public announcement

This approach ensures that Confidence levels are evaluated conservatively, acting as a safeguard against confirmation bias.

How Is Effort Determined?

Effort represents the total time required to complete a project. During this assessment, not only the product development process but also the contributions of all involved teams are taken into account.

Effort is measured in person-months. A person-month is the amount of work one team member can complete in a month. This is a rough estimate, as it is impossible to precisely define the exact time and effort required for any project—risks, issues, and changes always arise. The scoring method is similar to Reach scoring: the total number of resources required to complete the product or feature within a given timeframe is estimated. Thus, five person-months equate to a score of 5.

Effort is classified using a four-level scale:

High effort: 4 points (more than one developer-year)
Medium effort: 2 points
Low effort: 1 point
Negligible effort: 0.5 points

In this classification, a scale based on powers of two is preferred, acknowledging that large estimates carry higher margins of error.

How Is the Score Calculated?

To calculate the RICE score, the following formula is used:

RICE Puanı=EforEris¸im×Etki×Gu¨ven

For example, if Feature A has a Reach of 600 users, an Impact of 3, a Confidence of 100%, and an Effort of 5 person-months, the RICE score is (600 * 3 * 100) / 5 = 36000 / 5 = 7200.

The result obtained through this formula measures the total value generated per unit of time spent. A higher score indicates that more value can be created with less time invested. A lower score suggests limited value, but it does not necessarily mean the idea should be discarded entirely. Such ideas are recommended to be set aside for potential re-evaluation at a more appropriate time.

The calculation process is repeated for each task, generating a list of all ideas, which is then visualized using a RICE matrix. After the initial calculations, scores are reviewed and estimates are adjusted as necessary.

Benefits and Use Cases of the RICE Method

The RICE method provides product managers with several advantages:

The decision-making process becomes data-driven.
Communication with stakeholders becomes easier and more consistent.
Resources can be used more efficiently.
Accountability is encouraged through measurable criteria.
Ideas are evaluated in a neutral manner.
A broader perspective is gained.
Consistent decisions are enabled.

This method is particularly useful in the following scenarios:

When struggling to narrow down a large number of ideas
When prioritizing items on a product roadmap
When consensus cannot be reached within the team
When starting a new project or product launch

There are also best practices and considerations when applying the RICE method. For example:

It is recommended to focus on a single goal.
Dividing teams into subgroups and assigning separate prioritization for each group can yield effective results.
Assigning responsibility to team members and allowing them to prioritize their own workloads is encouraged.

However, it is important not to become overly reliant on the method, to remain flexible, and to avoid unnecessarily complicating processes. RICE scores can change over time and should be re-evaluated as conditions evolve. Additionally, low-scoring projects may sometimes be prioritized for strategic reasons. In such cases, decisions must be supported by clear justification.

The RICE method is also open to customization. For instance, different scoring scales can be used, or contextual weights can be assigned to factors. However, it is crucial that such customizations are applied consistently across all product teams.

Author Information

AuthorYağmur Yıldız ParıltıDecember 8, 2025 at 7:15 AM

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How Is Reach Determined?
How Is Impact Determined?
How Is Confidence Determined?
How Is Effort Determined?
How Is the Score Calculated?
Benefits and Use Cases of the RICE Method