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Weighted Scoring Model: Guide for Developers

Weighted Scoring Model: Guide for Developers
Author
Nimrod Kramer
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Learn how to effectively use a weighted scoring model to prioritize tasks and improve decision-making in software development projects.

A weighted scoring model helps developers prioritize tasks and make data-driven decisions. Here's what you need to know:

Basics of the model

The model uses multiple criteria with different weights to evaluate options numerically. Key elements:

  • Criteria (e.g. user impact, dev effort)
  • Weights (importance of each criterion)
  • Scoring scale (e.g. 1-5)
  • Options being evaluated
  • Scores for each option
  • Weighted scores (scores x weights)

To use it:

  1. List options
  2. Choose criteria
  3. Assign weights
  4. Score options
  5. Calculate weighted scores
  6. Compare results

Creating a scoring system

  1. Choose what to measure (e.g. user satisfaction, technical feasibility)
  2. Assign weights to criteria (e.g. user satisfaction 50%, technical feasibility 30%)
  3. Create a scoring scale (e.g. 1-5)

Using in development work

Add to project management tools:

  • JIRA: Custom fields + calculated fields
  • Trello: Custom fields power-up
  • Azure DevOps: Custom fields + calculated fields

Automate calculations with:

  • Spreadsheet formulas
  • Custom scripts
  • Dedicated software
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Prioritizing features

Score new ideas against criteria like user demand and dev cost. Compare fixes vs new features objectively.

Example:

Feature User Demand (50%) Dev Cost (30%) Revenue (20%) Total
A 4 (2.0) 3 (0.9) 5 (1.0) 3.9
B 5 (2.5) 2 (0.6) 3 (0.6) 3.7

Code review scoring

Set quality measures like readability and performance. Score each factor during reviews.

Using in Agile

For sprint planning, score potential tasks on value, effort, and risk. Keep the backlog ordered by regularly scoring items.

Avoiding mistakes

  • Keep it simple (5-7 key criteria)
  • Update weights and criteria regularly
  • Involve stakeholders in criteria selection
  • Document decisions and use data to back them up

By quantifying priorities, teams can make clearer decisions and improve project outcomes over time.

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