07. Learning Prioritization Framework

Learning Prioritization Frameworks Heading

Prioritization Frameworks

Overview

Learning Prioritization Framework Overview

An effective prioritization framework helps the Product Manager identify key factors to consider while evaluating a feature request or project. When these factors are then combined methodically to calculate a score for the project or feature request under consideration,different ideas can be compared with each other in a consistent manner.
The RICE scoring model developed by Messaging-software maker INTERCOM is one such framework. It is designed to aid Product Managers compare different items (roadmap initiatives, feature requests, new ideas) by scoring them based on four factors: reach, impact, confidence, and effort. The framework enables Product Manager to make objective decisions that are void of personal biases, and defend their rationale (remember Art of Saying “No’) in front of stakeholders

Learning Prioritization Framework Overview

RICE Method

RICE Method

Learning Prioritization Framework Overview

RICE Method Example: Project 1

RICE Method Example: Project 1

Learning Prioritization Framework

RICE Method Example: Project 2

RICE Method Example: Project 2

Learning Prioritization Framework Further Research

Below is a list of commonly used prioritization techniques:

  • Kano Model: link
  • Cost of Delay:link
  • Weighted Scoring Prioritization: link

Learning Prioritization Framework Summary

Prioritization Frameworks enable you as a Product Manager to handle competing priorities and make objective decisions that are void of personal biases and give your team a prioritized backlog to focus while delivering value to customer and building a winning product

Learning Prioritization Frameworks Quiz

Select all the factors that apply to calculating the RICE Scoring method

SOLUTION:
  • Confidence is a subjective value and measured using a tiered set of discrete % value
  • Total time required for the project from resources based on number of ‘people - months estimated to work
  • Calculate the number of users (or) events per time period by using product metrics
  • Estimate impact at user level, based on the goal that the project is expected to affect