The Most Popular Prioritization Techniques and Methods: MoSCoW, RICE, KANO model, Walking Skeleton, and others

A brief comparison of popular methods of task prioritization

MoSCoW method: the simplest and most widespread approach for small products

Features

Pros of MoSCoW prioritization

Cons of the MoSCoW approach

When to use MoSCoW

Kano Model: customer-driven prioritization

Features

Pros of the Kano model

Cons of the Kano model

When to use the Kano Model

RICE: balanced, but time-consuming method for mature products

Features

Pros of RICE

Cons of RICE

When to use

Eisenhower matrix: a straightforward way for time-management

Eisenhower decision matrix

Features of the Eisenhower matrix

  1. High Priority: urgent and important.
  2. Medium Priority: important but not urgent. You can additionally divide this quadrant into 2 parts: The requirements on the left side are of a higher priority and must be implemented first.
  3. Urgent but not important. The features included are urgent but without a significant impact on a product’s business aspects, so the team must decide whether they are really needed. Similar to the medium priority part, this quadrant is also divided into 2 parts; the requirements on the left side are of a higher priority than those on the right.
  4. Low Priority: neither urgent, nor important.

Pros of the Eisenhower matrix

Cons of the Eisenhower matrix

When to use

Value vs Complexity/Effort matrix: a lightweight approach to balance tech and value

Value vs Complexity/Effort

Features

  • market demand
  • customer acquisition potential
  • customer retention
  • customer engagement
  • expected revenue etc.

Pros of the Value vs Complexity/Effort matrix

Cons of the Value vs Complexity matrix

When to use

Weighted Shortest Job First (WSJF): lean but time-consuming way to introduce minimum marketable features

Features

  • User-business value — How important is the feature to business and customers?
  • Time criticality — Will the user-business value reduce over time?
  • Risk reduction — Does the feature reduce business and technical risks?
  1. Non-comprehensive features with high-added value.
  2. Complex features with high-added value.
  3. Non-comprehensive features of lesser-added value.
  4. Complex features with lesser-added value.

Pros of Weighted Shortest Job First

Cons of Weighted Shortest Job First

When to use

Walking Skeleton: the best way to prioritize MVP stories

Walking Skeleton may be smaller than the actual MVP but it puts the necessary features first

Features

Pros of Walking Skeleton

Cons of Walking Skeleton

When to use

To wrap up

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