Strategise method guide
Adoption Curve
Adoption Curve maps users, technologies or behaviours across stages of diffusion and adoption.
Beginner-friendly guide · 4 min read
What Adoption Curve does
Adoption Curve maps users, technologies or behaviours across stages of diffusion and adoption.
Adoption analysis examines how an innovation spreads through a social system over time. Different groups may require different evidence, support and risk reduction before changing behaviour.
The familiar adopter categories are descriptive prompts, not personality types. Define the specific innovation, context and observable adoption behaviour before placing people or organisations.
Rogers’ diffusion research explains adoption as a process over time within a social system. The familiar adopter categories are useful prompts, but should not replace context-specific evidence.[1]
The curve is a prompt for evidence and engagement, not a fixed label for people.
- Innovators2.5%
- Early adopters13.5%
- Early majority34%
- Late majority34%
- Laggards16%
Earlier adoptionLater adoption
InnovationFlow explanatory schematic, synthesised from the method sources[1].
Understand the method
The parts in plain language
Innovation and behaviour
State exactly what is being adopted and what someone must do differently. Buying, trialling and routinely using may be separate behaviours.[1]
Illustrative example
A site may purchase remote monitoring but still rely on established manual checks.
Perceived attributes
Relative advantage, compatibility, complexity, trialability and observability influence adoption. Assess these from the adopter’s perspective.[1]
Illustrative example
A reversible pilot and visible avoided downtime reduce perceived risk.
Social diffusion
Information travels through peers, opinion leaders, professional groups and visible examples. Adoption often depends on trust and local evidence.[1]
Illustrative example
A respected maintenance lead’s successful pilot may matter more than a corporate presentation.
When to use it
- When go-to-market or change plans assume all users will adopt at once.
- When roadmap timing depends on readiness and social diffusion.
A practical workflow
- 1
Define the innovation, social system and adoption behaviour.
- 2
Identify relevant groups and evidence of their current stage.
- 3
Record barriers, proof needs and communication implications.
- 4
Translate timing and readiness into experiments, engagement and roadmap actions.
Fictional worked example
Example: adopting remote diagnostics
This example is illustrative rather than a reported case. A multi-site manufacturer introduces one diagnostic workflow across factories.
Observation:A technically confident site volunteers for the pilot.
Implication:Use it to test and create credible local evidence.
Observation:Managers want proof of reliability and clear support.
Implication:Standardise implementation and show peer results.
Observation:Local processes and trust remain barriers.
Implication:Address compatibility and involvement rather than repeating generic benefits.
From analysis to decision
How to interpret the result
- 1Segment by evidence rather than stereotype.
- 2Distinguish awareness, trial, decision and sustained use.
- 3Connect adoption barriers to stakeholder engagement and roadmap actions.
The interpretation guidance is an InnovationFlow synthesis of[1].
What a useful output looks like
Common pitfalls
- Do not stereotype people from category labels.
- Adoption is context-dependent and can move backwards as conditions change.
References and method basis
- [1]Rogers, E.M. (2003). Diffusion of Innovations, 5th edition. Free Press. Source ↗Original method source
This guide synthesises the named sources into practical questions for strategy and innovation work. It does not claim that using a tool by itself produces a successful decision.