TL;DR | The Highlights
- A digital transformation can go live on schedule and still fail to pay back if people keep working the way they did before. Most of the return depends on adoption in the months after launch.
- Change management is often the first workstream cut when timelines tighten, because in many plans it has no clear owner or measurable deliverable.
- When adoption is low, users usually take the blame. If a team can’t see what a new system does for them, look at how the system was designed before rewriting the training.
- Training attendance doesn’t tell you whether a rollout worked. Track usage tied to business outcomes instead, such as how many forecasts are built in the system or which spreadsheets have been retired.
- AI agents rely on the data people enter, so weak adoption also limits what any AI built on the platform can do.
Most digital transformations are judged at go-live; on whether the platform was delivered on time and the data came across cleanly. The business case gets judged later. A new CRM only improves forecasting if sellers keep it up to date, and plenty of companies find, six months in, that the forecast is still being built in a spreadsheet and the CRM gets updated the day before the pipeline review.
Change management covers the work of getting people to move their day-to-day work into the new system. Most leaders would say it matters, and it still tends to be underfunded, mostly because of how it gets scoped and measured.
Change Management Gets Cut Because It Has No Number Attached
Under timeline pressure, project teams protect the work they can show progress on. Configuration, data migration and testing all have milestones and percentages that go into status reports. Change management is usually a training schedule and a communications plan, and that makes it easy to trim when the budget tightens.
The effects show up after the project team has moved on. By the time adoption looks weak, few people link it back to a scoping decision, and the blame goes to the users or the platform.
The way to protect it is to scope it like the rest of the project, with a named owner, its own budget and a success measure agreed before kickoff. Once those are in place, cutting it means someone has to make that call openly.
If You Can’t Say What a Team Gains, Revisit the Design
People whose jobs are changing will want to know what’s in it for them. Rollout plans usually answer that with communications. We think a weak answer more often points to a problem in the design.
A common example is a CRM built mainly for pipeline visibility. To give managers a cleaner forecast, the build adds required fields for sellers, and from the seller’s side the main change is that updating a deal takes longer. Better launch messaging won’t make that feel like a good trade.
So before the design is locked, go through each affected team and write down what changes in their week, what they gain, and how much time it costs them. Where the list is mostly cost, change the build. That might mean automating some data capture, removing steps nobody needs, or giving the team something useful in return, such as account insights they currently pull together by hand. Plan the rollout timing around the hours those teams really have, especially in their busiest periods.
Track Usage Long After Training Ends
Training completion is often the default adoption metric, but it only tells you who attended. A more useful set of measures looks at whether the system is being used for the work it was meant to improve. Depending on the platform, that could include:
- the share of forecasts built and submitted in the platform instead of offline
- how up-to-date opportunity or case records are when they get reviewed
- which legacy spreadsheets and tools have been retired
- how often key workflows are completed inside the system from start to finish
Agree on these before launch and keep reporting on them for at least the first few quarters. Some drop-off after launch is normal, so it helps to have someone who owns the numbers and can step in when they slip.
This has become more important as companies add AI to their platforms. Agents and AI-assisted workflows work from the records people create, so if a team only uses the CRM part of the time, any AI agent built on it is working with incomplete data.
Sponsorship Has to Show Up in Ordinary Meetings
Executive sponsorship has the most effect in routine settings. A leader who runs the weekly pipeline review from the new dashboard, or asks why a number came from a spreadsheet, does more to show the change is permanent than a launch announcement does.
Colleagues have a similar effect. People tend to follow the lead of others who do the same job, so a few respected people in each affected team are worth involving early, during design and not only at launch. They are often the first to notice a workflow that adds effort without much benefit, and catching that before launch is much cheaper than fixing it after.
Plan for Adoption Before You Approve the Build
Before you sign off on your next transformation plan, check that it answers three questions:
- who owns adoption (and the plan to drive it)
- how adoption will be measured, and over what period
- what each affected team gets out of the change
If the plan can’t answer them clearly, it needs more work before it’s approved.
At Lane Four, we help organizations design and implement the CRM and RevOps systems their revenue teams use every day, and we plan for adoption from the first workshop. If you have a transformation coming up, let’s chat.
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