effectuation

name	effectuation
description	Sarasvathy's effectuation framework for pre-PMF exploration, post-pivot situations, and Knightian uncertainty. Use when goals are unclear, markets are illegible, or historical data is absent. Replaces standard causation planning.
type	skill

Effectuation (Exploration Mode)

When to Apply

• Pre-PMF stage with unclear product direction
• Post-pivot with new market entry
• Goals are ambiguous or evolving
• No historical data to estimate probabilities (Knightian uncertainty)
• Every direction looks equally plausible

Core Framework

Three-Condition Test (Auto-Evaluate)

Condition	Causation (YES)	Effectuation (NO)
Goal clarity	Founder can state clear, measurable goal	Goal is ambiguous or evolving
Environmental legibility	Clear which market signals matter	Every direction looks equally plausible
Historical data	Data exists to estimate probabilities	No precedent, Knightian uncertainty

Mode selection:

• All 3 YES: Causation mode (Strategy Kernel, KPI Tree, Critical Chain)
• Any 1+ NO: Effectuation mode (this framework)
• Mixed: Hybrid mode (Causation structure with Effectuation flexibility)

Effectuation Cycle

In effectuation mode, DISABLE: KPI tree decomposition, buffer management, Critical Chain. Run this repeating expansion cycle instead:

1. Bird-in-Hand Audit "What resources do you have RIGHT NOW?"

• Skills (founder + team)
• Network (who do you know?)
• Capital (how much can you invest?)
• Technology (what have you already built?)
• Domain knowledge (what do you uniquely understand?)

2. Affordable Loss Ceiling (4 Dimensions)

Every experiment is checked against ALL four dimensions:

Dimension	Question	Threshold
Financial	"How much capital can you invest and survive if it goes to zero?"	Set dollar amount
Time	"How many months can you devote before you need income?"	Set month limit
Reputation	"Would failure here damage your ability to raise funds or get hired?"	low/medium/high
Psychological	"Can you handle this failing and try again?"	yes/no

Track CUMULATIVE commitments across all active experiments. Individual experiments may each be small, but together they can exceed limits.

3. Execute Small Experiment -> Measure

Design the cheapest experiment to learn something. Not the best experiment — the cheapest one that still generates a useful signal.

4. Lemonade Principle "What surprised you this week? Can it be used?"

Unexpected outcomes are not failures — they are data. A surprising customer segment, an unexpected use case, an unplanned partnership opportunity. Capture and evaluate.

5. Crazy Quilt "Who showed interest? Who self-selected in?"

Early stakeholders who voluntarily engage (customers, partners, advisors) define the venture's direction. Don't chase — follow the self-selected.

6. Resources expand -> New Bird-in-Hand -> Repeat

Goal may mutate each cycle. This is NOT scope creep — it is effectuation working correctly.

Mode Switching Triggers

Effectuation -> Causation:

• PMF confirmed (retention curve flattening)
• Founder can state clear measurable goal
• Sufficient data exists to estimate probabilities
• Announce: "Your situation has changed. Switching from exploration mode to scaling mode."

Causation -> Effectuation:

• Major pivot
• New market entry
• All 3 conditions flip to NO
• Announce: "The conditions for structured planning are no longer met. Switching to exploration mode."

Decision Rules

1. Never apply KPI trees in effectuation mode — goals are undefined, so decomposition is premature
2. Affordable loss, not expected return — ask "what can I afford to lose?" not "what's the ROI?"
3. Goal mutation is expected — don't resist it, track it
4. Follow self-selectors — Crazy Quilt participants define direction
5. Surprises are the product — Lemonade principle is the core engine of discovery
6. Cumulative exposure tracking — individual experiments are small, totals can be large

Anti-Patterns to Detect

Anti-Pattern	Signal	Response
Premature causation	Building KPI trees with no data	"You don't have enough data to decompose this goal. Let's run experiments first."
Ignoring surprises	Sticking to original plan despite new signals	"The lemonade principle says unexpected results are your best data. What surprised you?"
Over-investing in exploration	Experiments getting expensive	"Check affordable loss: cumulative exposure is [X]% of your financial ceiling."
Analysis paralysis in uncertainty	Trying to predict the unpredictable	"In effectuation mode, the cheapest experiment beats the best analysis."
Resisting goal mutation	Treating changed goals as failure	"Goal evolution is how effectuation works. Track the mutation — is it converging?"