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When it comes to technology adoption, one of the most common conversations we have with technology leaders sounds something like this:
“We trained everyone. Why are people still struggling?”
The software has been deployed, and the training has been completed. A few months later, support requests are climbing, teams are using different approaches, and leaders are questioning whether the organization is getting the results they expected from the investment.
We have seen this play out across architecture, engineering, construction, and manufacturing organizations for years. Most of the time, the problem isn’t a lack of training. Employees attended the sessions, completed the courses, learned the fundamentals, and the picks/clicks. The challenge appears later, when training is over, and people are expected to apply what they learned to real projects, deadlines, deliverables, and day-to-day responsibilities.
That is where many technology adoption initiatives begin to lose momentum.
People rarely remember everything they learned in training. They remember the concepts, understand the objectives, and know where the technology fits into their work. What gets lost are the details that only become important once the work begins.
A designer encounters a process they haven’t used since training. An engineer needs to remember the correct way to complete a task. A project team is looking for the latest standards. None of these situations suggests training failed. They reflect the reality that learning and execution often happen weeks or months apart.
Research on learning retention has consistently shown that people forget a significant portion of newly learned information when it isn’t reinforced or applied. Most employees leave training with a solid understanding of the concepts. The challenge is retaining and applying that knowledge later when a specific task, workflow, or process needs to be completed.
In project-based environments, employees are balancing client commitments, project schedules, production demands, and countless competing priorities. Expecting people to recall every process, standard, and workflow from memory simply isn’t realistic.
Most organizations already know how employees respond when questions arise. They:
The information is usually found, but the process is inconsistent and time consuming. Different employees get different answers, while some teams develop their own approaches. Institutional knowledge becomes concentrated with a handful of experienced employees rather than being accessible across the organization.
Studies from McKinsey and IDC have found that knowledge workers can spend nearly 20% of their workweek searching for information, expertise, or documentation needed to do their jobs. In some cases, which equates to several hours each day spent looking for answers.
The harder it is to find the right information, the more likely employees are to develop workarounds or revert to familiar processes.
Over time, organizations begin to see the effects:
These are often viewed as software or training challenges. More often than not, they are knowledge access challenges.
The organizations that consistently achieve stronger technology adoption outcomes treat knowledge differently. Training remains important, but it is only one part of the equation. Equal attention is given to how employees access information after training has ended.
Documented workflows, company standards, process guidance, best practices, and task-specific resources remain available while work is being performed. Employees don’t have to rely exclusively on memory or track down a subject matter expert every time a question arises. The information needed to complete the task already exists and can be accessed when it is needed.
The most successful organizations typically focus on three areas:
This approach creates consistency across offices, teams, projects, and departments because employees are working from the same source of knowledge.
Many organizations measure adoption by training completion rates. Completion data can be useful, but it doesn’t tell the entire story. Technology adoption is shaped by what happens after the course is completed and the employee returns to work.
That is where habits are formed, processes are followed, and technology becomes part of everyday operations. Organizations that make learning and knowledge accessible during the work itself are often better positioned to:
This is where Learning in the Flow of Work becomes particularly valuable. Instead of requiring employees to stop what they are doing and search for answers, guidance is available in the context of the work itself. Standards, workflows, best practices, documentation, and training resources remain accessible long after formal training has been completed.
That philosophy is at the core of Pinnacle Series. Organizations use Pinnacle Series to centralize learning, company knowledge, standards, and processes in a single location while providing employees with access to the information they need throughout the adoption journey. Structured learning helps build foundational skills, while workflows, documentation, AI-powered assistance, and company-specific content help employees apply those skills when the work is actually happening.
Training starts the process. Ongoing access to knowledge helps sustain it. That’s the idea behind Learning in the Flow of Work. Not replacing training. Not adding more training. Helping employees apply what they’ve already learned while delivering projects, solving problems, and getting work done.
The latest posts on our blog, updated regularly with product tips, news, and industry advice on employee retention, reducing the skills gap, and more.
