Too Many Screens and Clicks: When the Process Is Right but the Path Is Long.
Every extra screen costs a few seconds. Across thousands of tasks a week, those seconds become one of the largest hidden costs in an SAP operation.
In our introduction to this series, we described the execution gap: the distance between what SAP manages and how efficiently people get the work done. We also promised to look at the 12 ways workers experience it. We start with the one everybody recognizes.
The Problem.
SAP transactions are designed to serve every role, every scenario and every exception in one place. That is their strength as a System of Record. For the person doing one specific task many times a day, it means navigating fields, tabs and codes that have nothing to do with the job in front of them.
A goods receipt, a maintenance confirmation or a stock transfer can take several transactions and many screens. Each screen asks the user to find the right field, remember the right code and avoid the fields they should not touch. None of it is hard. All of it takes time.
A Practical Example.
Picture a maintenance technician closing a routine work order. She opens the order, confirms her hours, records a meter reading, posts the spare part she used and creates a follow-up notification for a worn bearing. That is five separate steps across several transactions, usually done at a desk at the end of the shift rather than at the machine.
This is not a theoretical case. At Vattenfall, offshore maintenance processes ran through 20 to 30 SAP screens per task. With one harmonized Business Application for every field worker, that came down to one screen, with faster equipment repair and shorter lead times as a result. At Jollyroom, screens per warehouse task went from 10 to 3, and inbound efficiency rose by 195%.
Ask your team. How many screens does it take to complete your most common SAP task? Count them for your top three tasks. The answer is usually the fastest way to make the execution gap visible.
The Impact.
- Longer task completion times. Seconds per screen add up to hours per person per week.
- Lower productivity. Skilled people spend time operating the system instead of doing the work.
- More errors. Busy users skip fields or pick the wrong code, which creates rework later.
- Longer training. New and seasonal staff need weeks to learn navigation that has little to do with their job.
Gartner describes digital employee experience as “a concentrated effort to remove digital friction and improve workforce digital dexterity” (Gartner, Hype Cycle for Digital Workplace Applications, 2024). Screens and clicks are the most tangible form of that friction.
How Neptune Closes the Gap.
The answer is not a new process. It is a shorter path through the process you already have. A role-based Business Application shows the technician only what her task needs, on one screen, on any device, and posts to SAP using SAP’s own business logic, standard and custom. Several transactions become one flow. Nothing is duplicated and nothing about the SAP process changes.
With Neptune DXP, SAP teams build these applications on the SAP Fiori design standards your users already know, starting from a proven template or a prompt in Naia Build. Read how Vattenfall went from 20 to 30 screens to one.
The Metrics That Move.
| KPI | What to measure today |
|---|---|
| Task completion time | Average time for your top three SAP tasks, start to finish |
| Screens and clicks per task | Count per task, per role |
| Transactions per employee per hour | Volume per role from SAP usage data |
| Manual administration time | Hours per week spent on system work rather than the job |
| Time to proficiency | Days until a new user completes the task unaided |
Shaping the Business Case.
This is one of the easiest business cases to build because the inputs are countable. Run a short time study on your three most frequent tasks, then use three levers:
| Value lever | How to calculate it |
|---|---|
| Time recovered | Tasks per year × minutes saved per task ÷ 60 × loaded hourly cost |
| Errors avoided | Errors per year attributable to the task × average cost to find and fix one |
| Training saved | New users per year × training hours saved × hourly cost |
Illustrative only: 200 technicians closing 6 work orders a day, saving 4 minutes each over 220 working days, recover around 17,600 hours a year. Replace these inputs with your own baseline before you put a number in front of a CFO.
Next in the series. Part 2: Repetitive Manual Data Entry. Fewer screens is the start. In the next post we look at what users type into them: the same data, entered twice, and what that does to data quality.
