Metric Prioritization Matrix

From Business Intelligence

[edit] Metric Prioritization Matrix

A Prioritization Matrix is used to achieve consensus about a potential metric. The Matrix helps you rank metrics by a particular criterion that is important to your team. Then you can more clearly see which metrics are the most important to work on solving first.

Table Columns

Metric Name, Importance, Feasibility, Cost, Points

[edit] Metric Prioritization Template

A common strucutre used to explain a metric, its intent, expected value, frequency and prediction ability

Unit A Metrics (Example Template)

• Metric 1 – Name of Metric
• Purpose: What is this metric attempting to capture.
• Balanced Scorecard Perspective: 􀂆 Customer 􀂆 Financial X Process 􀂆 Learning & Growth
• Formula: A+B / (C – B) –
• Specific data used in the numerator and its source. Comment on any special aggregation or transformations made to the data
• Specific data used in the numerator and its source. Comment on any special aggregation or transformations made to the data

• Expected Values for this KPI: A normal range for this indicator is between W-X, exceptional organizations perform at a level above Z
• Benchmarks used to assess KPI performance: This KPI is benchmarked similar internal units (AAA, BBB & CCC) and national statistics provided by ZZZZ
• KPI Prediction Ability: 􀂆 Leading Indicator X Lagging Indicator
• Comparison Reporting Interval for this KPI: 􀂆 Day to day 􀂆 Week to week X Month to Month 􀂆 Year to year
• Other Comments/Lessons learned as a result of this KPI: We initially used this metric in attempt to measure XXX productivity, but found that it had the unintended consequence of ZZZ. As a result we revamped it to reflect an indexed value that helped to balance the metric between A & B.