Staff activity, remote working visibility and productivity heatmaps.
How fragmented digital activity data was turned into a clear management reporting layer for staff visibility, workload review and operational accountability.
Case study note
This page is not a service description. It shows a real operational pattern, the commercial risk behind it, the improvement approach and the type of measurable business impact a similar ecommerce brand should be looking for.
The operational problem
Management needed a clearer view of how office, hybrid and remote staff were working across digital systems. Activity was spread across Teams, email, SharePoint, OneDrive and other platforms, making it difficult to identify inconsistent working patterns, poor system adoption, duplicated admin and areas where labour cost was not being used effectively.
Why this mattered commercially
Without a consolidated view, management decisions were being made from opinion, isolated examples or gut feel. That makes it harder to challenge low activity, support overworked staff, spot poor system adoption or understand whether paid time is creating enough operational output.
Modelled monetary impact
If the reporting identifies only five avoidable staff hours per week across admin, duplicated work or low-output time, at a conservative fully loaded employment cost of £18 per hour, that is £4,680 per year of recoverable capacity. If it prevents the need for one additional part-time admin hire, the avoided cost can be significantly higher.
What we reviewed
- Teams, email, SharePoint and OneDrive activity exports
- Duplicate user names, shared accounts and non-comparable records
- Office, hybrid and remote working patterns
- Activity volumes by person, channel and period
- Which measures were genuinely useful for management and which would create noise
What changed
- User records were cleaned and consolidated into comparable staff-level views
- Non-comparable accounts were removed from ranking logic
- Activity was structured into ranked reports, benchmarks and heatmaps
- Visual summaries were created to show working pattern gaps and consistency issues
- The output was positioned as an operational visibility tool, not a surveillance gimmick
Operational impact
- Management gained a clearer evidence base for staff reviews and workload conversations
- Under-utilisation, inconsistent activity and poor adoption became easier to identify
- Remote and hybrid working could be reviewed objectively rather than emotionally
- The business had stronger visibility of whether labour cost was translating into useful operational activity
Built around the way ecommerce operations actually work.
This type of project is not just a technical change. The starting point is understanding how the order, fulfilment, customer service, finance or management process behaves in the real operation.
The solution is then shaped around the current systems, the people using them and the commercial pressure behind the issue. That avoids unnecessary rebuilds and keeps the improvement practical, measurable and easier for the team to adopt.
Likely follow-on improvements
- Staff workflow and accountability systems
- Ecommerce operations audit
- Management reporting dashboards
- AI-assisted operational process improvement
What this proves operationally
Where is time being wasted?
Which manual checks, duplicated steps or unclear ownership points are costing the business paid time every week?
Where is risk entering the process?
Which parts of the workflow rely on individual judgement, inconsistent exports, manual notes, copied data or delayed exception handling?
What is the commercial value of fixing it?
What is the annual impact of saving admin time, reducing errors, protecting revenue, improving visibility or avoiding unnecessary labour?
Want to identify similar issues in your ecommerce operation?
The Commerce Operations Audit identifies where similar issues are creating hidden cost, wasted time, avoidable errors, weak reporting or lost revenue inside your ecommerce operation.