── ── Startups

S-Curve Technology Adoption

Innovations spread on a sigmoid (S-shaped) curve: slow → accelerating → leveling off at saturation. The shape is universal: a reinforcing word-of-mouth loop drives growth; a balancing saturation loop caps it. Ryan & Gross (1943, Iowa hybrid corn) produced the first quantitative S-curve. Rogers (1962) codified five adopter categories: innovators (2.5%), early adopters (13.5%), early majority (34%), late majority (34%)…

How it works

Run the S-Curve Adoption Diagnosis. Locate, predict, restrategize.

1. Plot adoption over time. Installed base, paying customers, or active users by time. Without time-indexed data, the analysis cannot proceed. 2. Locate current position. Innovators (0–2.5%): slow growth, high engagement. Early adopters (2.5–16%): acceleration, word-of-mouth, evangelism. Chasm (~16%): growth stalls, high-mortality zone. Early majority (16–50%): steep acceleration, pragmatist buying. Late majority (50–84%): slowing, skeptical buying. Laggards (84–100%): saturation, trickle of new adopters. 3. Confirm with category signals. Customer framing tells you where you are: "love the bleeding edge" = innovator; "our respected peer is using it" = early adopter/early majority; "everyone is doing it, we can't fall behind" = late majority. 4. Estimate saturation ceiling. Total addressable population accounting for fundamental fit. 5. Fit a curve / project trajectory. Logistic or Bass model with enough data; structural reasoning with less. If you're at ~10% with strong word-of-mouth, the steep middle is ahead. If at ~50% with slowing growth, the second half is unfolding. 6. Identify the next category and what they require. Innovators: novelty, tolerance for rough edges. Early adopters: transformative outcome, opinion-leader endorsements. Early majority: proven ROI, references from peers, complete solution. Late majority: standardization, social proof, risk-mitigation. Laggards: end-of-alternative mandate, hand-holding. 7. Audit current strategy against next-category requirements. Positioning, channels, sales motion, pricing, onboarding — does each work for the next category? Mismatches are the work plan. 8. Predict the chasm. If approaching ~16% of TAM, build the chasm-crossing plan before growth stalls. See pmf-crossing-the-chasm. 9. Plan the second curve. At 50–70% of TAM, ask: what is the second S-curve and when does it need to start growing? 10. Stop-rule: if your projection extrapolates current growth indefinitely, you are not using the S-curve — redo it as a sigmoid.

When to use it

• user asks "why has our growth stalled after early success?", "when will this market saturate?", "we used to grow easily, now it's hard", "how do we cross the chasm?", "we need to reach mainstream buyers", "our marketing stopped working", "what adopter stage are we in?", or mentions S-curve, diffusion of innovations, Rogers, early adopters, majority, laggards, Bass diffusion model, or technology adoption lifecycle

Worked example

Ryan & Gross's Iowa Hybrid Corn Study (1943) and Rogers's Synthesis (1962)

The empirical foundation for the S-curve model of innovation diffusion was laid by two rural sociologists at Iowa State College in a paper published in 1943, and synthesized into the dominant modern framework by Everett Rogers nineteen years later. Both works together constitute the canonical primary-source case for this skill.