No company or organization will embrace new technology at the same pace, which is precisely why the technology adoption curve has remained as one of the most valuable frameworks for transformation sponsors, change managers, and training leads navigating ERP implementations.
Originally developed by sociologist Everett Rogers, the technology adoption curve concept is a model that maps how different groups will adopt new tools – everyone from early users to those skeptical late adopters that every organization has.
Knowing each stage of adoption isn’t just academic. It can actually make all the difference between a training program that accelerates behavioral change and one that wastes resources by treating every adopter segment the same way.
What are the Five Stages of the Technology Adoption Life Cycle?
1. Innovators (2.5% of users)
The first group to embrace new technology, innovators are often recognized as risk-takers energized by novelty and new breakthroughs.
These individuals can tolerate high risks and ambiguity because they are comfortable with (and sometimes, driven by) experimenting with new tools that excite them.
In an organization, these are your AI researchers and your process experimenters. They act as the test group willing to provide candid feedback during pilots.
2. Early Adopters (13.5%)
While they may not jump headfirst into a new feature, early adopters will be excellent opinion leaders within a given market segment. They seek tangible improvements and gladly champion new tech once the benefits are clear.
But note: they’re selective. They won’t adopt just anything. But their endorsement reassures peers and accelerates momentum. Think of them as bridge-builders between innovators and the pragmatic majority.
3. Early Majority (34%)
The “early majority” group represents the largest adoption segment alongside the late majority. This group is often a bit more cautious than early adopters, but open to new ideas.
They often wait for tangible success stories and proven value before committing. The early majority phase is where training, documentation, and structured onboarding become non-negotiable. Without clear support, they stall.
4. Late Majority (34%)
Skeptical by nature, late majority users will eventually adopt innovations – but only when it becomes the norm or required.
These individuals will need reassurance and minimal friction. Peer influence matters more than feature lists. In other words, if their colleagues are succeeding, they’ll follow.
5. Laggards (16%)
The final group is known as the “laggards”. Though the title may sound demeaning, the reality is that these individuals are simply a bit more stubborn than the rest. They’ve often been around long enough to see the “flashy new thing” and have learned to wait it out until the new idea or concept becomes a non-negotiable.
Moving this group isn’t impossible – it’s just extreme simplicity. Think microlearning and embedded job aids, involving one-on-one coaching that reduces effort to near zero.
The Technology Adoption Curve Still Matters
It may seem dated in the digital age, but the technology adoption lifecycle still reveals a key truth that many companies still ignore: people move through the adoption process at wildly different speeds. They’re driven by distinct demographic and psychological characteristics.
For instance, while tech enthusiasts may jump headfirst into a beta test group on day one, more pragmatic users need proof of value before committing.
Many adopters will wait until the last minute – when change becomes unavoidable, and “laggards” often cling to the status quo until there’s no alternative.
Why It Matters For Your Organization
For ERP and digital transformation initiatives, ignoring these natural adoption segments creates some predictable risks.
For instance, rolling out interactive eLearning modules to resistant late adopters is likely to waste time and budget. Relying solely on generic presentations for the early adopter segment misses their appetite for hands-on workshops and mentorship.
It’s all about knowing who is where, and connecting the right dots. When training and communication tactics don’t match where a user is on the adoption curve, you’re likely to face disengagement at best, and stalled implementations at worst.
But it’s not all black and white. The bell curve distribution of adopter categories gives more nuance to where people are, and can help you spot where change fatigue or resistance might derail the process.
A key is knowing where each group has shared interests and pain points. For example, unlike innovators, the early majority needs structured support and real-world examples. Knowing this can help leaders plan to allocate champions and measure the right signals at the right time.
Tactics by Stage: Matching Training to Adoption Readiness
The key isn’t just knowing the stages – it’s how to effectively cross from one to the other. After all, your organization is sure to have all types of individuals working with one another.
Here’s how to align training formats with adopter groups:
- Innovators: Pilot environments and feedback sprints. Let them break things and ideate.
- Early Adopters: Offer in-depth workshops, quick reference cards, and mentorship opportunities. They crave mastery and want to lead their peers.
- Early Majority: Provide structured classroom training, scenario walkthroughs, and clear documentation. They need confidence before first use.
- Late Majority: Shift to virtual onboarding, self-paced modules, and recorded sessions. Flexibility and repetition reduce anxiety.
- Laggards: Focus on on-the-job aids, embedded help, and micro-learning snippets. Make the new tech feel invisible.
While each stage is important, crossing that chasm between the early adopters and the early majority is absolutely crucial – this is where many implementations stumble. The first two adopter groups tolerate ambiguity; the rest demand clarity.
What to Measure at Each Stage
Moving the needle and getting everyone on board will look unique each time a change happens. So you’ll need a standardized way to measure progress so that you can track success. Here are some of the key engagement metrics to keep an eye on for each level:
- Innovators: Active participation in pilots, quality of feedback shared
- Early Adopters: Feature usage rates, process improvement suggestions submitted
- Early Majority: Training completion rates, first-time-right task success on core workflows
- Late Majority: Sustained system use over time, reduction in support tickets
- Laggards: Basic engagement with aids, minimal resistance during coaching
Of these, the two most important to track are likely engagement depth and task accuracy. These two help you measure whether training is moving users through the adoption life cycle or simply checking boxes.
How Onboard ERP Helps with Technology Adoption
Here at Onboard ERP, we take a people-first approach to user adoption. We know that different segments need different support at different times.
So, rather than one-size-fits-all training, Onboard ERP blends personalized enablement with pragmatic measurement focused on behavior change, not vanity metrics.
By matching content format and communication style to where users actually are in their adoption journey, Onboard ERP lowers friction and accelerates competency growth. The result is an ongoing and measurable delivery of outcomes tailored to what change looks like for your team today – and where you may be headed tomorrow.
FAQs About the Technology Adoption Curve
Is the curve still relevant for ERP?
Absolutely! Knowing adopter categories helps tailor training as well as direct your team on how to designate champions for peer mentoring through the change.
How do we move laggards?
Don’t force this group to move by threat or coercion. You need to stay simple and reduce friction with micro-learning and easy-to-use on-the-job aids. Don’t be afraid to offer personalized support.
What should we measure early?
Keep it simple and focus on engagement with training resources and accuracy early in the process. This is especially true during first-time task attempts – as these predict long-term adoption better than attendance.
Where do super users fit?
Super users are a great asset to any technology adoption process. They act as an anchor between the innovator and early adopter groups, and can often step in as mentors and champions who guide later-stage colleagues.
