Behavior-Normality Adoption Test
Screen emerging devices for behavioral friction and social familiarity
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 5
- Confidence
- 97%
The test evaluates an emerging product along two dimensions: behavioral change and perceived normality. First, determine whether adopting it requires users to form a new routine, learn an awkward interaction, or repeatedly remember an extra action. Second, assess whether the product looks and feels socially familiar to both its user and nearby people. A device that fits existing behavior and resembles an accepted object faces less personal and social friction, improving its chance of widespread adoption. Products that fail both dimensions may still attract enthusiasts, but they are unlikely to become mainstream without substantial redesign or an unusually strong benefit. Applying the test early helps teams allocate attention, marketing resources, and development effort toward innovations that can integrate naturally into everyday life.
Origin
Extracted from Marketing Against The Grain during Kit Bodner and Kieran Flanagan's comparison of Meta Ray-Bans with more conspicuous AI wearables.
Core principles
- 01Low behavioral friction accelerates adoption
- 02Familiar appearance reduces social resistance
- 03Technical capability cannot compensate for an unacceptable user experience
- 04Products embedded in existing routines outperform conspicuous alternatives
How to run it
- 1
Define the target routine
Describe when, where, and why a person would use the product. Identify the existing object or behavior it would replace or augment.
Pro tip Observe the routine in context rather than relying only on stated customer preferences.
Watch out Do not confuse curiosity or trial usage with sustainable daily behavior.
- 2
Measure behavioral change
List every new action, habit, or learning requirement imposed on the user. Rate whether each change is negligible, tolerable, or disruptive.
Pro tip Include charging, activation, account setup, and maintenance—not only the primary interaction.
Watch out Small recurring burdens can matter more than a difficult one-time setup.
- 3
Test perceived normality
Assess whether the product resembles something society already accepts and whether its use makes surrounding people uncomfortable.
Pro tip Evaluate bystander reactions as well as the purchaser's opinion.
Watch out A familiar shape can conceal unfamiliar privacy implications.
- 4
Classify adoption potential
Prioritize products that require little behavioral change and appear socially normal. Treat products that fail both tests as niche unless their value is exceptional.
Pro tip Compare competing products on a simple two-by-two matrix.
Watch out The test estimates adoption friction; it does not prove product-market fit.
- 5
Reduce the dominant friction
Redesign the product, onboarding, or positioning around the weakest dimension. Reassess the concept after reducing either behavioral or social resistance.
Pro tip Embedding technology into an object customers already use can improve both dimensions simultaneously.
Watch out Marketing alone cannot permanently disguise a fundamentally awkward experience.
In the wild
A team compares glasses that resemble ordinary sunglasses with a pendant that visibly records conversations. The glasses add capabilities to an existing fashion accessory, while the pendant introduces a new object, an unfamiliar routine, and immediate privacy concerns for bystanders.
→ The team predicts lower adoption friction for the glasses and prioritizes experiments around eyewear-based experiences.
A retailer considers a wearable voice assistant for store employees. Workers already use headsets, so the team integrates the assistant into the established hardware rather than requiring a conspicuous new badge and activation gesture.
→ The concept preserves the existing workflow and receives stronger pilot participation.
Common mistakes
Evaluating features instead of behavior
A product may be technically impressive while demanding an interaction customers will not repeat. Score the lived routine, not the feature list.
Ignoring bystander discomfort
Wearables affect people around the user, especially when cameras or microphones are involved. Social rejection can block adoption even when owners perceive strong value.
Treating familiarity as sufficient
A normal-looking product still needs concrete utility. Familiar design reduces friction but does not create demand by itself.
Is it for you?
Best for
It is best for marketers, founders, and product teams evaluating unfamiliar consumer devices or interfaces.
Not ideal for
It is not ideal for specialized professional equipment whose users already accept substantial training or behavioral change.
From the transcript
“the first line of demarcation you can make is do they require no change from the person behavior-wise and do they look and feel normal…”
“if they do they might have a significant impact if they don't beat those criteria they're probably like Google Glass was years ago dead on…”
“they don't require much Behavior shift from the person wearing them”
From the episode
Mark Zuckerberg’s AI Ray-Bans + 3 More Ai Gadgets You've Never Heard Of (#163)