Overview

A Technique is a composable unit of work with clear inputs and outputs, typically spanning 4–16 hours of facilitated work. Each one is valuable on its own — you can run a single technique as a focused workshop when you need fast clarity on a specific question.

Each technique page covers: strategic intent, when to use it, the canvases it composes, inputs and outputs, process heuristics, validation criteria, and common mistakes. Most pages also point to the original Boundaryless essay or guide chapter where the framework was developed.

#Mapping & discovery

Capture the as-is: take a snapshot of the ecosystem, the relationships, and the organization before you project any strategy onto it.

1. Scanning and Mapping the Ecosystem — map arenas, ecosystems, value chains, and platform plays
2. Profiling Key Entities — each entity's real-world context, goals, and growth potential
3. Mapping Key Relationships and Value Exchanges — entities, motivations, and the value flows between them
4. Collecting Portfolio Data — stakeholder interviews and a validated preliminary portfolio map
5. Establishing Catalog Visibility — tag every cost to its internal client and publish a typed service catalog

#Analysis & framing

Make sense of what you've mapped: classify it, find the patterns, frame the model.

1. Framing the Platform Strategy Model — the strategy model and the seven key network properties
2. Analyzing the Market-Facing Portfolio — needs coverage, product taxonomy, GTM alignment
3. Analyzing Organizational Elements — apply the 3EO topology to derive a coherent operating model
4. Categorizing Launch Contributors — classify every internal dependency into the five contributor categories
5. Running the Shadow P&L — derive prices from costs and run a parallel virtual P&L

#Design & strategy

Create the to-be: synthesize value propositions, mechanics, experiences, and the contracts that hold them together.

1. Articulating the Platform Value Proposition — translate ecosystem understanding into the value proposition
2. Designing Network Effects and Flywheels — flywheel mechanics and properties that compound over time
3. Designing the Platform Experience Elements — the transaction engine, learning engine, and experience
4. Building Marketplace Liquidity — define the canonical unit and solve the chicken-and-egg problem
5. Implementing Growth Loops — sustain growth through closed, compounding loops
6. Building the Growth Model — connect loops, metrics, and experiments into one engine
7. Designing the Multi-Party Launch Contract — bind the critical contributors into one coordinated commitment
8. Wrapping the Initiative in a VAM — frame the initiative as a unit-in-incubation with a value-adjustment mechanism

#Decision & measurement

Decision-support: choose between options and pick what to measure.

1. Selecting Growth Tactics — pick from the 10 canonical tactics matched to your network properties
2. Choosing Platform Metrics — a coherent metric set across liquidity, engagement, and retention
3. Choosing Funding Sources — decide who funds each new capability in a launch

#Validation & implementation

Test the riskiest assumptions and roll the strategy out for real.

1. Validating Strategic Assumptions — surface and test leap-of-faith assumptions for Ecosystem-Potential-Platform Fit
2. Implementing the Portfolio Strategy — a Playing-to-Win cascade and a sequenced rollout
3. Reaching Financial Autonomy — replace showbacks with real chargebacks and negotiate the VAM