Accelerating Diffusion

Practical questions about how useful innovations gain adoption through evidence, trust, channels and peer learning.

Understanding this reference

Accelerating diffusion requires learning why people adopt slowly, not simply increasing publicity. People need a credible reason to try something, a workable route to first use, and confidence that support will be available. Barriers can be technical, organizational, financial, cultural, or related to trust and inclusion.

How to use the idea in practice

Identify distinct user groups and map the steps from awareness to routine use. Ask what information each group needs, whether a low-risk trial is possible, and where adoption becomes difficult. Test one intervention at a time, such as clearer onboarding or a small demonstration, while tracking meaningful use rather than page views or sign-ups alone.

Applied learning example

Consider a hypothetical community service introducing online appointment forms. Some residents may adopt quickly, while others need assistance or prefer a phone channel. The team could compare service completion and error reports across accessible pathways rather than treating all offline users as resistant to change.

Questions to bring to a workshop

• What specific decision or problem gives this method a useful purpose?
• What do we know from direct observation, and what remains an assumption?
• Who experiences the change, including people who might otherwise be left out?
• What is the smallest credible pilot or comparison we could run?
• Which evidence would persuade us to change direction rather than defend the plan?

Evidence, limitations and responsible interpretation

Increased adoption is not automatically beneficial if a change produces harm, exclusion, or unexpected workload. Measure outcomes and retain alternatives where needed. The original URL is restored for reference; this is newly authored material and not a copy of the former toolkit.

The original destination is retained as a historical reference point. The writing above is a contemporary educational explanation; it must not be cited as a recovered source or used to attribute a statement to the former portal. For related research, consult OECD / Eurostat: Oslo Manual 2018 and follow its primary references where appropriate.

Documenting a meaningful result

An effective learning record should show which decision prompted the method, what participants supplied as evidence, and how the results were interpreted. Keep a short table with the original question, the chosen method, the main observations and the next action. For Accelerating Diffusion, the important test is whether the technique changed what the team could understand or do; completing a workshop template is not itself evidence of impact. Revisit the exercise after a real observation or pilot, and explain why the conclusion held or changed.

Before calling an exercise complete, ask who could challenge the conclusion, which trade-off remains unresolved, and what would count as persuasive counterevidence. Make the reasoning legible to someone who was not in the original meeting. When appropriate, ask users or affected stakeholders to review the interpretation before a proposal becomes policy. Evidence-based work is less about producing perfect certainty than about making choices open to correction.

Continue with the innovation toolkits, or browse the research and case-study collection to compare approaches across settings.