Decide where to play next.
Explore adjacent categories, customers, geographies, and channels from a defined home position. For the conversation that starts with "what should we do next?" and usually ends with a whiteboard.
About 30 minutes.
Three things, on every run.
- Maps adjacent categories, customer segments, geographies, and channels with size and competitive-density evidence.
- Surfaces capability gaps — what you'd need to build or buy to enter each adjacency.
- Names the precedents — companies that made the same move, and how it went.
Here's what this scan actually produces.
Run on the theme Autonomous mobility with 32 frontier models. 135 unique signals after dedup, 72 confirmed by two or more models.
Each node = one signal. Angle by category, distance from centre by verifiability, size by ensemble convergence.
Open the full example →Autonomous mobility
Luminar announces a new solid-state LIDAR unit priced below $500 for high-volume production. Signals a potential breakthrough in reducing the sensor cost barrier for commercial robotaxi fleets.
Robotaxi adopts subscription models for urban mobility services. Signals shift from traditional ownership. OEMs implement subscription services to increase urban mobility access.
Downtown commercial districts allocate dedicated traffic lanes exclusively for autonomous vehicle operations. Indicates municipal prioritization of autonomous vehicles for congestion management objectives.
Concrete artifacts, not a vibe.
- An adjacency map with size, competitive density, and capability-fit annotations.
- Precedent cases — named companies that made similar moves, with outcomes.
- A workspace you iterate on as the thesis sharpens.
When this scan earns its keep.
- Founders & chiefs
Doing annual strategy and the where-to-play question doesn't have a defensible answer.
CEOs, strategy
- Strategy leads
Evaluating a category expansion or geographic move and want public-evidence support.
BD, corporate development
- Founders & chiefs
Pressure-testing a growth thesis against prior-art examples from public data.
Founders, board prep
Run a adjacency scan on your own theme.
First scan is on us. Output becomes Session 1 of your first workspace if you keep going.
Prefer to have it done for you? Have Envisioning run an adjacency study with your team.