Case Study, Business Analysis & Workforce Analytics

Employee Retention & Workforce Optimisation

Led the analysis and redesign of employee retention processes for a retail organisation experiencing high turnover across warehouse and customer service operations, identifying root causes, designing a future state framework and building workforce analytics dashboards.

37%
Customer service attrition identified
30%
Warehouse attrition identified
10
User stories with acceptance criteria
Role
Business Analyst & Workforce Analytics Consultant
Domain
Retail, HR Transformation
Engagement
6 Week Delivery Sprint
Tools
Power BI, Excel, BPMN, Fishbone Analysis
Overview

Turning high turnover into a data driven retention strategy.

Led the analysis and redesign of employee retention processes for a retail organisation experiencing high turnover across warehouse and customer service operations.

The work included stakeholder analysis, process modelling, root cause analysis, requirements documentation, user story development, workforce dashboard design, KPI framework creation and implementation planning.

The Problem

High turnover with limited visibility into why.

The organisation faced high employee turnover across operational departments, resulting in increased recruitment costs, onboarding effort, productivity loss and workforce instability. Analysis identified recurring issues across onboarding, recognition, career progression, communication, scheduling and management visibility.

High employee turnover across operations
Limited employee feedback visibility
Inconsistent onboarding processes
Lack of retention analytics
Weak recognition and engagement practices
Limited career development pathways
Reactive workforce management
Absence of retention focused KPIs
Root Cause Analysis

Six categories, one core outcome: high employee turnover.

Fishbone analysis across Management, Processes, Tools and Systems, Career and Growth, Environment and Culture surfaced the contributing factors across each dimension.

Click to zoom Fishbone root cause analysis for high employee turnover
Fishbone analysis. Six cause categories mapped: Management (recognition, communication, career clarity), Processes (exit interviews, onboarding, scheduling), Tools and Systems (no integrated dashboard, manual scheduling), Career and Growth (limited pathways, low mobility), Environment (long and rigid shifts, stress) and Culture (reactive strategies, low morale, overlooked employees).
Root cause analysis informed a future state retention framework incorporating structured feedback, recognition initiatives, career development pathways, workforce analytics dashboards and KPI monitoring.
Solution Scope

Use case model and AS IS process flows.

Workforce Analytics

Two dashboards, built from the workforce dataset.

Staff feedback scores and reasons for leaving, mapped alongside staffing demand, resignation turnover and department attrition rates across all operational functions.

Click to zoom Staff Feedback Analysis dashboard showing feedback scores and reasons for leaving
Staff Feedback Analysis. Average scores by department (IT 3.6, Customer Support 3.4, Warehouse 3.2, HR 3.1, Management 3.0) with reasons for leaving dominated by career growth, manager support and pay in Customer Support and Warehouse.
Click to zoom Staffing and Turnover Analysis dashboard showing attrition rates and staffing needs
Staffing & Turnover Analysis. Customer Support and Warehouse show the highest staffing need (26 and 18 respectively), account for 71% of all resignations and have the highest attrition rates (35% and 30%), confirming the priority areas for the retention strategy.
Requirements

10 user stories, fully validated.

Each user story was written from the perspective of its actor (HR user, employee, department head, senior leader, IT user, compliance user) with acceptance criteria defined in Given When Then format and test scenarios specified for each.

Click to zoom User story and acceptance criteria table covering US1 to US10
10 user stories with acceptance criteria. Spanning recruitment and onboarding (US1), anonymous feedback (US2), scheduling and shift swaps (US3), recognition (US4), career development (US5), real time dashboards (US6), leadership alerts (US7), role based access (US8), exit interview capture (US9) and data retention compliance (US10).
Impact & Outcomes

A structured workforce retention framework.

37%
Customer service attrition identified
30%
Warehouse attrition identified
10
User stories with acceptance criteria
14
Use cases modelled across 5 actors
6
Root cause categories analysed
5
Departments profiled in workforce analytics
Workforce retention framework designed covering feedback, recognition and career development
Root cause analysis identified the key attrition drivers across Management, Process and Culture
Retention KPI model established for ongoing performance monitoring
Two Power BI dashboards built from the workforce dataset
10 user stories produced with Given When Then acceptance criteria and test scenarios
Implementation roadmap delivered with phased recommendations for automation and self service
Deliverables

The full artefact set.

Analysis

  • Stakeholder analysis
  • Root cause analysis
  • Fishbone diagram
  • Gap analysis
  • Business requirements
  • AS IS process maps
  • Use case diagram
  • Retention framework

Product & Requirements

  • User stories (10)
  • Acceptance criteria
  • Functional requirements
  • Non functional requirements
  • TO BE process maps

Analytics & Planning

  • Workforce dashboard
  • KPI framework
  • Attrition analysis
  • Performance reporting model
  • Implementation roadmap
  • Recommendations report
Business analysisWorkforce analyticsHR transformationFishbone analysisPower BIProcess modellingUse case modellingUser story writingKPI frameworkStakeholder analysisRoot cause analysisAttrition analysis
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