6 KPIs That Measure 3 Things: Executive Dashboard Redundancy
Intermediate
60 min
3 views
0 solutions
Overview
UrbanMart's executive dashboard displays 6 sales KPIs. But Revenue and (New Customers × AOV) tell the same story. Profit Margin and Revenue move in opposite directions. Utilization correlates with nothing. The analyst must identify which KPIs are redundant, which are contradictory, and recommend a minimal set of 3 that gives a complete picture without duplication.
Case Details
# Aplly.xyz Case Study Submission
## Title
6 KPIs That Measure 3 Things: Executive Dashboard Redundancy
## Type
Data Analytics
## Difficulty
Intermediate
## Estimated Time
60 minutes
## Overview
UrbanMart's executive dashboard displays 6 sales KPIs. But Revenue and (New Customers × AOV) tell the same story. Profit Margin and Revenue move in opposite directions. Utilization correlates with nothing. The analyst must identify which KPIs are redundant, which are contradictory, and recommend a minimal set of 3 that gives a complete picture without duplication.
## Case Details
Function Focus: KPI correlation analysis, redundancy detection, contradictory metric identification, minimal dashboard design
Scenario:
UrbanMart's executive dashboard has 6 KPIs: Total Revenue, New Customers, Average Order Value, Customer Retention Rate, Sales Team Utilization, and Profit Margin. The CEO finds the dashboard overwhelming and asks: "Can we cut this to 3 KPIs and not miss anything important?" The analyst has 6 months of data and suspects several KPIs are redundant — Revenue is mathematically determined by New Customers × AOV (roughly), and Utilization doesn't seem to affect anything. She must manually compute pairwise relationships, identify which KPIs measure the same underlying dimension, and recommend a minimal set that still captures sales health, customer health, and efficiency.
Dataset Structure:
- 6 months (Apr–Sep 2026) of 6 KPIs
- KPI definitions and formula relationships
- Pairwise correlation analysis
Tasks:
1. For each month, compute New Customers × AOV and compare it to Total Revenue — calculate the ratio (Revenue ÷ (New Customers × AOV)) for each month and state whether Revenue is redundant with the product of the other two
2. Identify the pair of KPIs that move in opposite directions most consistently — calculate the directional agreement for Revenue vs Profit Margin (count months where one goes up and the other goes down divided by total transitions) — explain why this tension exists
3. Identify the KPI that shows almost no movement or random movement relative to all others — compute its month-over-month change and compare its variance to the other 5 KPIs — this is the candidate for removal
4. Based on your analysis, recommend a minimal set of 3 KPIs (one for growth, one for customer health, one for efficiency) — justify why each of the remaining 3 KPIs is unnecessary and what you would lose by removing each
5. Only after submitting your manual analysis, re-run the correlation analysis in a spreadsheet or AI tool and report any discrepancies — then propose one additional KPI not in the current 6 that would add genuinely new information
Expected Output:
A dashboard audit memo containing: (a) Revenue vs (Customers × AOV) comparison table with ratio analysis, (b) Revenue vs Profit Margin directional agreement count with explanation of the tension, (c) identification of the most-stable KPI with variance comparison, (d) a recommended 3-KPI set with justification for each removal, and (e) a round-trip discrepancy note plus a proposal for one genuinely new KPI.
Evaluation Criteria:
Correct month-by-month arithmetic for the Revenue decomposition, accurate directional agreement counting for the tension analysis, meaningful variance comparison to identify stable KPIs, a well-justified 3-KPI recommendation that acknowledges what is lost, and honest discrepancy reporting.
## Data Sources
Monthly KPI Data (Apr–Sep 2026):
| Month | Total Revenue (₹L) | New Customers | Avg Order Value (₹) | Retention Rate (%) | Sales Team Utilization (%) | Profit Margin (%) |
|---|---|---|---|---|---|---|
| Apr | 52.0 | 1,250 | 2,080 | 68 | 72 | 12.5 |
| May | 54.6 | 1,300 | 2,100 | 67 | 74 | 12.2 |
| Jun | 56.0 | 1,280 | 2,190 | 66 | 71 | 11.8 |
| Jul | 58.5 | 1,350 | 2,170 | 67 | 73 | 11.5 |
| Aug | 60.0 | 1,320 | 2,270 | 68 | 72 | 11.2 |
| Sep | 61.8 | 1,340 | 2,310 | 69 | 74 | 10.9 |
KPI Definitions:
| KPI | Formula | Dimension |
|---|---|---|
| Total Revenue | Sum of all sales (₹L) | Growth |
| New Customers | Count of first-time buyers | Acquisition |
| Avg Order Value | Total Revenue ÷ Total Orders | Spending depth |
| Retention Rate | Repeat customers ÷ total customers × 100 | Loyalty |
| Sales Team Utilization | Billable hours ÷ available hours × 100 | Activity |
| Profit Margin | (Revenue − COGS − Overhead) ÷ Revenue × 100 | Efficiency |
Context:
- CEO's request: "I can only focus on 3 numbers. Which ones?"
- Board reviews this dashboard monthly
- Current dashboard refresh takes 2 analysts 3 days to prepare
- Sales team has been pushing for discounts to boost revenue; finance is pushing back
## Solution Frameworks
KPI correlation analysis, redundancy detection, dashboard optimization, metric dimensionality reduction, tradeoff identification
## Solver Guidance & Tutorials
Link to: "Dashboard Minimalism — Cutting 6 KPIs to 3 Without Losing Insight" tutorial
## What You'll Learn
- Detecting mathematically redundant KPIs in a dashboard
- Identifying contradictory KPIs that measure opposite tradeoffs
- Finding KPIs that add no information (stable or random)
- Building a minimal KPI set that covers growth, customer health, and efficiency
## Tags
KPI redundancy, dashboard design, metric analysis, executive reporting, data visualization
## Registration Links
- Register as Solver
- Register as Evaluator
## Title
6 KPIs That Measure 3 Things: Executive Dashboard Redundancy
## Type
Data Analytics
## Difficulty
Intermediate
## Estimated Time
60 minutes
## Overview
UrbanMart's executive dashboard displays 6 sales KPIs. But Revenue and (New Customers × AOV) tell the same story. Profit Margin and Revenue move in opposite directions. Utilization correlates with nothing. The analyst must identify which KPIs are redundant, which are contradictory, and recommend a minimal set of 3 that gives a complete picture without duplication.
## Case Details
Function Focus: KPI correlation analysis, redundancy detection, contradictory metric identification, minimal dashboard design
Scenario:
UrbanMart's executive dashboard has 6 KPIs: Total Revenue, New Customers, Average Order Value, Customer Retention Rate, Sales Team Utilization, and Profit Margin. The CEO finds the dashboard overwhelming and asks: "Can we cut this to 3 KPIs and not miss anything important?" The analyst has 6 months of data and suspects several KPIs are redundant — Revenue is mathematically determined by New Customers × AOV (roughly), and Utilization doesn't seem to affect anything. She must manually compute pairwise relationships, identify which KPIs measure the same underlying dimension, and recommend a minimal set that still captures sales health, customer health, and efficiency.
Dataset Structure:
- 6 months (Apr–Sep 2026) of 6 KPIs
- KPI definitions and formula relationships
- Pairwise correlation analysis
Tasks:
1. For each month, compute New Customers × AOV and compare it to Total Revenue — calculate the ratio (Revenue ÷ (New Customers × AOV)) for each month and state whether Revenue is redundant with the product of the other two
2. Identify the pair of KPIs that move in opposite directions most consistently — calculate the directional agreement for Revenue vs Profit Margin (count months where one goes up and the other goes down divided by total transitions) — explain why this tension exists
3. Identify the KPI that shows almost no movement or random movement relative to all others — compute its month-over-month change and compare its variance to the other 5 KPIs — this is the candidate for removal
4. Based on your analysis, recommend a minimal set of 3 KPIs (one for growth, one for customer health, one for efficiency) — justify why each of the remaining 3 KPIs is unnecessary and what you would lose by removing each
5. Only after submitting your manual analysis, re-run the correlation analysis in a spreadsheet or AI tool and report any discrepancies — then propose one additional KPI not in the current 6 that would add genuinely new information
Expected Output:
A dashboard audit memo containing: (a) Revenue vs (Customers × AOV) comparison table with ratio analysis, (b) Revenue vs Profit Margin directional agreement count with explanation of the tension, (c) identification of the most-stable KPI with variance comparison, (d) a recommended 3-KPI set with justification for each removal, and (e) a round-trip discrepancy note plus a proposal for one genuinely new KPI.
Evaluation Criteria:
Correct month-by-month arithmetic for the Revenue decomposition, accurate directional agreement counting for the tension analysis, meaningful variance comparison to identify stable KPIs, a well-justified 3-KPI recommendation that acknowledges what is lost, and honest discrepancy reporting.
## Data Sources
Monthly KPI Data (Apr–Sep 2026):
| Month | Total Revenue (₹L) | New Customers | Avg Order Value (₹) | Retention Rate (%) | Sales Team Utilization (%) | Profit Margin (%) |
|---|---|---|---|---|---|---|
| Apr | 52.0 | 1,250 | 2,080 | 68 | 72 | 12.5 |
| May | 54.6 | 1,300 | 2,100 | 67 | 74 | 12.2 |
| Jun | 56.0 | 1,280 | 2,190 | 66 | 71 | 11.8 |
| Jul | 58.5 | 1,350 | 2,170 | 67 | 73 | 11.5 |
| Aug | 60.0 | 1,320 | 2,270 | 68 | 72 | 11.2 |
| Sep | 61.8 | 1,340 | 2,310 | 69 | 74 | 10.9 |
KPI Definitions:
| KPI | Formula | Dimension |
|---|---|---|
| Total Revenue | Sum of all sales (₹L) | Growth |
| New Customers | Count of first-time buyers | Acquisition |
| Avg Order Value | Total Revenue ÷ Total Orders | Spending depth |
| Retention Rate | Repeat customers ÷ total customers × 100 | Loyalty |
| Sales Team Utilization | Billable hours ÷ available hours × 100 | Activity |
| Profit Margin | (Revenue − COGS − Overhead) ÷ Revenue × 100 | Efficiency |
Context:
- CEO's request: "I can only focus on 3 numbers. Which ones?"
- Board reviews this dashboard monthly
- Current dashboard refresh takes 2 analysts 3 days to prepare
- Sales team has been pushing for discounts to boost revenue; finance is pushing back
## Solution Frameworks
KPI correlation analysis, redundancy detection, dashboard optimization, metric dimensionality reduction, tradeoff identification
## Solver Guidance & Tutorials
Link to: "Dashboard Minimalism — Cutting 6 KPIs to 3 Without Losing Insight" tutorial
## What You'll Learn
- Detecting mathematically redundant KPIs in a dashboard
- Identifying contradictory KPIs that measure opposite tradeoffs
- Finding KPIs that add no information (stable or random)
- Building a minimal KPI set that covers growth, customer health, and efficiency
## Tags
KPI redundancy, dashboard design, metric analysis, executive reporting, data visualization
## Registration Links
- Register as Solver
- Register as Evaluator
Data Sources
Monthly KPI Data (Apr–Sep 2026):
| Month | Total Revenue (₹L) | New Customers | Avg Order Value (₹) | Retention Rate (%) | Sales Team Utilization (%) | Profit Margin (%) |
|---|---|---|---|---|---|---|
| Apr | 52.0 | 1,250 | 2,080 | 68 | 72 | 12.5 |
| May | 54.6 | 1,300 | 2,100 | 67 | 74 | 12.2 |
| Jun | 56.0 | 1,280 | 2,190 | 66 | 71 | 11.8 |
| Jul | 58.5 | 1,350 | 2,170 | 67 | 73 | 11.5 |
| Aug | 60.0 | 1,320 | 2,270 | 68 | 72 | 11.2 |
| Sep | 61.8 | 1,340 | 2,310 | 69 | 74 | 10.9 |
KPI Definitions:
| KPI | Formula | Dimension |
|---|---|---|
| Total Revenue | Sum of all sales (₹L) | Growth |
| New Customers | Count of first-time buyers | Acquisition |
| Avg Order Value | Total Revenue ÷ Total Orders | Spending depth |
| Retention Rate | Repeat customers ÷ total customers × 100 | Loyalty |
| Sales Team Utilization | Billable hours ÷ available hours × 100 | Activity |
| Profit Margin | (Revenue − COGS − Overhead) ÷ Revenue × 100 | Efficiency |
Context:
- CEO's request: "I can only focus on 3 numbers. Which ones?"
- Board reviews this dashboard monthly
- Current dashboard refresh takes 2 analysts 3 days to prepare
- Sales team has been pushing for discounts to boost revenue; finance is pushing back
| Month | Total Revenue (₹L) | New Customers | Avg Order Value (₹) | Retention Rate (%) | Sales Team Utilization (%) | Profit Margin (%) |
|---|---|---|---|---|---|---|
| Apr | 52.0 | 1,250 | 2,080 | 68 | 72 | 12.5 |
| May | 54.6 | 1,300 | 2,100 | 67 | 74 | 12.2 |
| Jun | 56.0 | 1,280 | 2,190 | 66 | 71 | 11.8 |
| Jul | 58.5 | 1,350 | 2,170 | 67 | 73 | 11.5 |
| Aug | 60.0 | 1,320 | 2,270 | 68 | 72 | 11.2 |
| Sep | 61.8 | 1,340 | 2,310 | 69 | 74 | 10.9 |
KPI Definitions:
| KPI | Formula | Dimension |
|---|---|---|
| Total Revenue | Sum of all sales (₹L) | Growth |
| New Customers | Count of first-time buyers | Acquisition |
| Avg Order Value | Total Revenue ÷ Total Orders | Spending depth |
| Retention Rate | Repeat customers ÷ total customers × 100 | Loyalty |
| Sales Team Utilization | Billable hours ÷ available hours × 100 | Activity |
| Profit Margin | (Revenue − COGS − Overhead) ÷ Revenue × 100 | Efficiency |
Context:
- CEO's request: "I can only focus on 3 numbers. Which ones?"
- Board reviews this dashboard monthly
- Current dashboard refresh takes 2 analysts 3 days to prepare
- Sales team has been pushing for discounts to boost revenue; finance is pushing back
Solution Frameworks
KPI correlation analysis, redundancy detection, dashboard optimization, metric dimensionality reduction, tradeoff identification
Solver Guidance & Tutorials
Link to: "Dashboard Minimalism — Cutting 6 KPIs to 3 Without Losing Insight" tutorial
What You'll Learn
- Problem-solving and analytical thinking
- Data-driven decision making
- Business strategy development
- Professional report writing
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Solutions Submitted
Difficulty
Intermediate
Estimated Time
60 minutes
Relevance
Fresh
Source
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