Implementation of a digital tool for basic users

URN:

Kolme henkilöä työskentelee valvomossa ja seuraa useita valvontakameroiden kuvia suurelta näytöltä; yhdellä on tietokone käytössä pöydän ääressä.
Picture: AaVekellari.

Summary

Building digital tools is easy; getting people to use them is not. This article examines user adoption strategies based on research and practical experience in implementing digital tools for end users. Key findings: users prioritize usefulness over ease of use; early adopters (16%) drive broader adoption; phased rollouts outperform big-bang implementations; communication cannot be overdone; and training timing matters more than content volume. Realistic initial adoption targets of 50-70% create the critical mass needed for widespread acceptance.

Building a digital tool is quite easy. There are plenty of professional developers and designers who can create the most amazing digital products, and nowadays even AI can write decent deployable code with few prompts. Getting people to use the tool is a completely different story.

During the development of the Emission Monitor tool for the Sustainable Flow project, we learned that successful tool implementation goes far beyond writing good code or designing elegant interfaces. : how do you help basic users adopt new technology in their daily work?

Fred Davis has developed the Technology Acceptance Model (Davis, 1989), which identifies two critical factors that determine whether people will adopt new technology: perceived usefulness and perceived ease of use. Research and our own experience with the Emission Monitor align on a crucial point: for work-related systems, usefulness trumps ease of use. Users will push through a learning curve if they believe the tool delivers real value. This insight fundamentally shapes how we should approach training and communication.

Start with Why, Not How

When training users on new digital tools, our instinct is often to start with tutorials on how to use the system. But research suggests we should flip this approach. Users need to understand why the tool matters before they care about how it works. Establishing clear value propositions and connecting tools to individual benefits is essential for user acceptance.

In the Emission Monitor implementation, this meant focusing on the benefits when introducing the tool, not just walking users through data entry screens. When users grasp the relative advantage of a new system, they become motivated to overcome the learning curve.

Understanding Your User Groups

Not everyone adopts technology at the same pace. In the Everett Rogers' Diffusion of Innovations theory five distinct adopter categories are identified (Dearing, 2009). The innovators who can afford risks and like to adopt new technologies first. The early adopters who are willing to try new technology. The early majority who adopt new technology after seeing that it works. The late majority who are skeptical about new innovations and adopt them after majority has accepted the innovation. And the laggards who resist change and are the very last to adopt new technologies.

The innovators and early adopters comprise just 16% of the user base, but they are critical to success. They will influence the early majority, another 34% who adopt technology only after seeing peers use it successfully.

Champions

Champions are peers or colleagues who advocate for new technology within the community. As innovators and early adopters, these technology-comfortable individuals test the tool, provide constructive feedback, and most importantly, encourage their skeptical colleagues. Research shows that champions should understand not just how to use the tool, but why it was selected over alternatives. Armed with this knowledge, they can address concerns from the late majority and laggards who resist change

Enable Testing Before Commitment

Rogers identified trialability as one of five key innovation attributes that predict adoption success. Allowing users to test new technology in a low-risk environment builds confidence and familiarity. This is why phased rollouts consistently outperform 'big bang' implementations.

A phased approach serves multiple purposes. Early users become champions for later groups, problems affect fewer people during the pilot phase, and the tool can be refined based on real-world feedback. In the Sustainable Flow project, our pilot ports provided invaluable insights for Emission Monitor development. Importantly, champions don't have to be from the same workplace, they just need to be in similar roles. The Swedish ports, for example, acted as champions to other ports, demonstrating that peer influence works across organizational boundaries.

Communication Cannot Be Overdone

Change management research consistently identifies poor communication as the primary reason for implementation failures. During pilots and releases it is impossible to over-communicate. Users need clear answers to critical questions: What is coming? When? Why? What are they expected to do with it? Will there be updates or changes, and when will those happen?

Effective communication starts well before rollout. It's crucial to set and communicate implementation timelines early and clearly articulate how changes align with both organizational goals and individual work needs. Importantly, communication needs to be bidirectional. Users need to have clear channels to ask questions and provide feedback, and that feedback needs to be visibly acted upon to build trust.

Knowledge as the Foundation

shows that knowledge is the foundation of successful adoption (see e.g. Rogers, 2003). This means that comprehensive training is not optional, it is essential. However, the timing and content of training matter enormously.

The most effective training happens one to two weeks before users start using the technology, focusing on the core 20% of functionality that users will need 80% of the time. At this timing, users have enough time to understand the technology while the training remains fresh when they begin using it. Training delivered in environments that mirror real-world conditions with actual scenarios users will encounter proves most effective. Accessible ongoing support through multiple channels is critical for long-term adoption success.

Set Realistic Expectations

Change management guidelines (McAlpine, 2025) offer one final insight: 100% user adoption is unrealistic. Successful implementations typically achieve 50-70% initial adoption, then use that group to mentor non-adopters. Once this critical mass is reached, the remaining users typically adopt gradually as the new system becomes the established way of working and peer pressure naturally builds.

The journey from developing a digital tool to achieving widespread adoption requires strategic planning, patience, and a deep understanding of how people accept change. Focusing on demonstrating value, empowering champions, enabling trial periods, maintaining open communication, and providing comprehensive training helps bridge the gap between technological possibility and practical implementation. In the Sustainable Flow project, these principles guided our approach to rolling out the Emission Monitor across seven pilot ports, helping ensure the tool had the best possible launch.

Piia Lukkaroinen
Researcher, Maritime Logistics Research Center
Piia Lukkaroinen is a UX/UI Designer and researcher at SAMK Maritime Logistics Research Center, where she specializes in user-centered design for maritime digital solutions. Her work focuses on bridging the gap between technological innovation and practical user adoption.

References

Logo: Co-funded by the European union.

This article was written as part of the Sustainable Flow project, which is part of the Interreg Central Baltic program. The project is creating an app that reduces carbon dioxide emissions from ports.

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