Field service adoption improves when the new system removes work, supports better decisions, and reflects what actually happens in the field.
The Issue
When a new field service system struggles to gain traction, the explanation is often predictable:
“Our technicians are resistant to change.”
I do not believe that is usually the real problem.
Technicians deal with change every day. Schedules move. Customers escalate. Parts are unavailable. Asset information is incomplete. Emergency work appears without warning. Adapting is already part of the job.
What technicians resist is technology that makes that job harder.
They resist entering information the company already has. They resist navigating five screens to find one useful note. They resist workflows designed in a conference room that fail the moment connectivity drops, a part is missing, or the customer situation changes.
That is not resistance to change. It is a rational response to operational friction.
Why It Matters Now
Employees are already carrying a significant change burden. McKinsey reports that the average employee experiences approximately 10 planned change programs each year—five times the number experienced a decade ago.[1]
At the same time, only 32% of mid-to-senior-level business leaders surveyed by Gartner said the last change they led achieved healthy employee adoption.[2]
Field service leaders should take that seriously.
A new mobile application does not arrive in isolation. It lands alongside revised safety processes, new performance targets, inventory changes, AI initiatives, updated service contracts and pressure to improve margins.
The question is no longer whether leaders communicated the change clearly.
The better question is whether the change improved the work.
| Adoption is not a soft metric that sits downstream from implementation. It is evidence of whether the operating model works. |
What Practical Looks Like
1. Design Around the Technician’s Day
The problem : Requirements are often developed around system capabilities rather than real working conditions.
The practical application : Follow the complete work journey—from intake and scheduling through travel, diagnosis, repair, parts usage, documentation and closeout. Identify where technicians call dispatch, keep personal notes, re-enter information or wait until the end of the day to update work.
Design for real exceptions: poor connectivity, incorrect asset data, missing parts, additional work and schedule interruptions.
The value : Fewer workarounds, cleaner field data and a mobile process technicians can rely on under pressure.
2. Remove Work Before Adding Work
The problem : Many transformations digitize existing administration without eliminating it.
The practical application : For every new field, approval or process step, identify what will disappear. Remove the paper form. Retire the spreadsheet. Stop producing the manual report that duplicates the new dashboard.
A useful implementation question is:
“What will employees no longer have to do when this goes live?”
When there is no clear answer, the project may be improving management visibility while increasing frontline workload.
The value : Less duplicate entry, faster closeout and a clearer reason for employees to use the new process.
3. Measure Adoption Through Operations
The problem : Logins, training completion and digitally closed work orders can create the appearance of adoption without proving that the process works.
The practical application : Measure administrative time, delayed updates, repeat visits, travel, schedule adherence, data completeness and the number of manual workarounds still in use.
IFS reports that customers across industries have achieved outcomes including 33% greater technician productivity, 35% less drive time and 20% higher equipment uptime. Results will vary by organization, scope and execution, but the figures illustrate the potential when technology removes friction instead of adding it.[3]
The value : Leaders can distinguish between a training issue, a data issue and a workflow that needs to be redesigned.
What to Avoid
The mistake is treating adoption as a communications campaign that starts shortly before go-live.
- Designing the workflow without credible field representation
- Automating a process that is already broken
- Adding mobile requirements while keeping old paperwork
- Training users on screens instead of real service scenarios
- Measuring compliance without measuring operational outcomes
- Collecting frontline feedback without showing what changed
You cannot communicate your way out of a bad process. You cannot train your way out of unnecessary work. And you cannot mandate trust in a system that employees cannot rely on.
How Gogh Helps
At Gogh Solutions, we help IFS customers design service operating models that work from intake through scheduling, mobile execution, closeout and reporting.
That includes process design, IFS configuration, integrations, Planning and Scheduling Optimization, Mobile Work Order, testing, role-based training, go-live support and ongoing improvement.
Our goal is not to customize every process around individual preference. Organizations still need governance and standardization.
The goal is to create a consistent operating model that also survives contact with the real world—where conditions change, exceptions happen and technicians need the right information at the right time.
Conclusion
Before blaming the field for low adoption, look closely at the work you are asking people to perform.
Start with one workflow. Follow it end to end. Identify where employees leave the system, where information breaks down and what administrative work can be removed.
Successful field service transformation does not happen when the platform goes live.
It happens when the people doing the work can honestly say: “This helps me do my job.”
