Spread an idea one group at a time, giving each group the reason it needs to say yes.
When a new idea reaches a group, a few people jump in right away, most wait to see what happens, and some hold out for years. The Diffusion Lifecycle names five groups along that curve, from the first to try something to the last, and helps you plan the order in which you'll win them over.
Each group says yes for a different reason. Innovators want novelty. Early adopters want an advantage and will take a reasoned risk. The early majority wants proof that it works for people like them. The late majority wants it cheap, easy and normal. Laggards want to keep what they know. Treat them all the same and you'll lose most of them.
So instead of one big launch aimed at everyone, you plan a sequence. Start where interest is highest, turn early success into evidence, and make the idea easier and more ordinary with every wave.
Use it when you need many people to take up something new, when a rollout has stalled after the enthusiasts, or when you're deciding who to approach first and what each group needs to hear.
Rogers' adoption curve. The shares are approximate. What matters is that each group needs a different approach.
Who will try this simply because it's new, and how will they find out about it?
Which respected people would gain most from this, and what would make it worth their early risk?
What proof, from people like them, would convince careful people that this works and is safe?
How can you make this so cheap, easy and standard that saying yes takes less effort than saying no?
What do the last holdouts need to keep, and how can the change go ahead without forcing them?
People decide whether to adopt something new partly by watching who has adopted it already. Planning group by group works with that habit instead of against it.
Most of us lower the risk of something new by seeing what happens to others first. That's sensible, not stubborn. Each group's adoption becomes the evidence the next group is waiting for, so the order you work in matters.
A message that excites an innovator (“brand new, still a bit rough”) is exactly what worries a pragmatist. Matching the message and the support to each group means nobody gets an offer that was designed for someone else.
Many ideas stall after the enthusiasts. Early adopters accept rough edges in return for an advantage; the early majority wants proof and polish. Business writer Geoffrey Moore called this gap the chasm in 1991. Plan the bridge before you need it.
Spreading an idea takes months, not a launch day. The lifecycle gives a team a shared map: which group you're working on now, what signal tells you it's time to move on, and what the next group will need.
Say what you want people to start doing and who the whole audience is. Be specific: “households on the east side use the new food-scrap bins,” not “people go green.”
Name real people, roles or segments for each group. Who already does something similar? Who do others copy? Who resists every change? Rough guesses are fine; you'll update them as you learn.
Plan how to reach innovators and respected early adopters first. Give them early access, real support and an easy way to tell you what's wrong. Their success is your first evidence.
Decide which results, stories and demonstrations you'll collect for the early majority. Pragmatists want to see it working for people like them, so gather examples from inside their own world.
For the late majority, cut cost, steps and risk. Make the new way the default, offer hands-on help, and remove anything that feels like hassle.
Decide what laggards can keep and which of their objections reveal real flaws. Then choose a simple measure of adoption and the signal that tells you to shift focus to the next group.
Five columns on a whiteboard or sheet, one per group, plus a few people who know the audience well. With AI, the prompt below can play each group and draft their messages.
Idea: curbside collection of food scraps for composting, picked up with the weekly trash. Audience: every household in a mid-sized city. Constraint: a small outreach budget and a two-year target.
Backyard composters and a local zero-waste group pilot the bins on six streets and report smells, pests and pickup problems.
Community garden leaders, school eco-clubs and a few well-known restaurants sign up early and share photos of the free compost they get back.
Neighborhood posts with real numbers from the pilot streets: less trash, no smell, and a kitchen caddy that fits under the sink.
Every home gets a bin automatically, with a magnet showing what goes in. Pickup stays on trash day, so there's nothing new to remember.
No fines, and opting out stays possible. Their top complaint, bins too big for small porches, leads to a smaller bin for everyone.
Pilot streets first, then trusted local voices, then proof, then defaults. Each wave hands the next one its evidence.
Each shift has a signal. Pilot streets run for two months without major complaints. Then one in five households signs up voluntarily. Then bins go to every home. Each signal triggers the plan for the next group.
The hard part of the Diffusion Lifecycle is imagining how five very different groups will react. AI can play each one, draft a message and a support plan per group, and point out where your rollout might stall. You supply what it can't know: the real people, the local history and which voices your audience trusts.
Get a quick, concrete picture of each group in your own audience.
Describe the 5 adopter groups for our food-scrap bins as typical residents, with one worry each.
Draft a different message for each group, in words that would land with them.
Write a 2-line pitch for each adopter group. Change the reason to say yes, not just the wording.
Plan what will carry the idea from the enthusiasts to the pragmatic majority.
What proof would a cautious early-majority resident need? List 5 kinds of evidence we could gather.
Ask AI where the rollout is most likely to get stuck, and why.
Read my rollout plan. In which group is it most likely to stall, and what would you change?
Describe your idea and audience, pick a mode, then copy the prompt into Claude, ChatGPT, Gemini or Copilot. In coach mode the AI maps each adopter group with you, one at a time, and builds a wave-by-wave plan from your answers.
The “Open in” links put the prompt in the web address. If your challenge includes anything sensitive, copy and paste instead.
After the session, click one to copy it, then paste it into the same chat.