Priorization Techniques in Agile Scrum

Priorization Techniques in Agile Scrum
Priorization Techniques in Agile Scrum

Prioritization in AgileScrum is the systematic process of ordering Product Backlog items to maximize value delivery. These techniques are generally categorized by their primary focus: customer satisfaction, business value and economics, or collaborative consensus.

Category 1: Customer-Centric Frameworks

These methods prioritize features based on how they impact the end-user’s experience and satisfaction.

  • Kano Model: Categorizes features into three main types: Basic Needs (expected essentials), Performance Features (linear satisfaction), and Excitement Needs (unexpected “delighters”).
  • User Story Mapping: Visualizes the entire user journey to identify the most critical paths and “skeletal” features needed for a Minimum Viable Product (MVP).
  • Opportunity Scoring: Uses customer research to find gaps where importance is high but current satisfaction is low, identifying high-potential opportunities.

Category 2: Economic & Quantitative Models

These data-driven techniques use formulas to balance value against implementation costs or risks.

  • Weighted Shortest Job First (WSJF): Prioritizes tasks by dividing the Cost of Delay (value, urgency, and risk reduction) by Job Size (effort). The goal is to deliver the most value in the shortest time.
  • RICE Scoring: Calculates a score based on Reach (number of users), Impact, Confidence (certainty in estimates), and Effort.
  • Cost of Delay (CoD): Measures the economic impact or potential revenue loss of not delivering a feature within a specific timeframe.

Category 3: Stakeholder & Team-Based Consensus

These collaborative methods are used to reach agreement among diverse stakeholders or team members.

  • MoSCoW Method: A qualitative technique that buckets items into Must-Have, Should-Have, Could-Have, and Won’t-Have for a specific release cycle.
  • 100-Dollar Test: Participants are given a hypothetical $100 to “spend” on features, revealing what they value most through resource allocation.
  • Priority Poker: A gamified, collaborative approach where team members anonymously vote on an item’s priority level to remove bias and foster discussion.

Category 4: Structural & Visual Matrixes

These tools help teams visualize trade-offs, typically using 2×2 grids.

  • Value vs. Effort Matrix: Plots tasks on two axes to identify Quick Wins (high value, low effort) and Major Projects (high value, high effort) while avoiding “thankless tasks”.
  • Risk/Value Matrix: Balances potential business rewards against technical or project risks to decide which high-value but high-risk items to tackle early.
  • Stack Ranking: A “forced ranking” method where every item has a unique, linear position (1 to N), preventing the “everything is high priority” trap.

Priorization Techniques in Agile Scrum

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Author: Mark Whitfield

Welcome to my site! After graduating in Computing in 1990, I accepted a position as a programmer at a Runcorn based software house specialising in electronic banking software, namely sp/ARCHITECT-BANK on Tandem Computers (now HPE NonStop). This was before the internet became more prevalent and so the notion of enabling desktop access to company accounts for inter-account transfers and book keeping was still quite a cutting edge idea (and smartphones only ever hinted at in Space 1999). The company was called The Software Partnership (which was taken over by Deluxe Data in 1994). I spent 5 years in Runcorn developing code for SP/ARCHITECT for various banks like TSB, Bank of Scotland, Rabobank and Girofon (Denmark) to name but a few. I then moved onto a software house in Salford Quays for further bank facing projects. After a further 23 years in the IT industry and now a Senior IT Project Manager (both Agile and Waterfall delivery), I thought I would echo out my Career Profile in this corner of the internet for quick and easy access.

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