Why innovation efforts break down
Most failures are not about creativity. They are about decisions made without clear criteria or evidence.
Unvalidated problem framing
Teams start initiatives without a shared, decision-grade problem definition, baseline, or measurement method. This increases rework, misalignment, and makes outcomes hard to defend.
Source: Project Management Institute (2017) Pulse of the Profession 2017: Success Rates Rise.Decisions without proper evidence
Teams commit time, budget, or technical direction before agreeing what proof is “enough” to proceed. This increases sunk-cost pressure and turns learning into justification instead of decision input.
Source: Staw, B.M. (1976) ‘Knee-deep in the big muddy: A study of escalating commitment to a chosen course of action’, Organizational Behavior and Human Performance.Objectives without measurable outcomes
Objectives are written as activity (“do X”) instead of outcomes (“change Y”). When outcomes are not explicit, trade-offs and resource decisions become subjective.
Source: Doerr, J. (2018) Measure What Matters. Portfolio/Penguin.Metrics that do not inform decisions
Dashboards show outputs and activity, but not validated learning, risk reduction, or readiness to commit. When metrics cannot change a decision, they do not improve decision quality.
Source: W. Edwards Deming (1986) Out of the Crisis. MIT Press.Premature hard-to-undo commitments
Organizations lock architecture, hiring, vendor contracts, or long timelines before core assumptions are tested. As reversibility drops, the quality of evidence required should rise.
Source: Ries, E. (2011) The Lean Startup. Crown Business.Limited exploration of alternatives
Teams converge on a preferred solution without structured comparison or adversarial testing. This increases fragility when conditions change or hidden constraints appear.
Source: Kahneman, D., Lovallo, D. and Sibony, O. (2011) ‘Before you make that big decision’, Harvard Business Review.Governance detached from evidence
Oversight reviews focus on status and outputs instead of evidence quality and decision readiness. This weakens accountability and makes scaling decisions harder to justify.
Source: Project Management Institute (2017) Pulse of the Profession 2017: Success Rates Rise.Culture that suppresses learning
When teams cannot surface uncertainty early, weak signals stay hidden until costs are high. Psychological safety enables earlier detection of risk and faster corrective learning.
Source: Google re:Work (n.d.) ‘Project Aristotle’; Edmondson, A. (1999) ‘Psychological safety and learning behavior in work teams’, Administrative Science Quarterly.The phases
A progressive spine that reduces uncertainty and prepares stronger, defensible decisions.
Phase 1: Pre-Discovery
Build foundational clarity: purpose, innovation intent, governance readiness, and an evidence-oriented culture.
Phase 2: Structured Discovery and Validation
Reduce uncertainty with validation, decision thresholds, and documented evidence across key assumptions.
Phase 3: Efficiency
Stabilize delivery, improve signal quality, and reduce variance that distorts decisions.
Phase 4: Scale
Expand only when evidence supports harder-to-undo commitments, with boundaries and staged approvals.
Phase 5: Continuous Improvement
Sustain learning, adapt to disruptions, and keep decisions evidence-aligned as conditions change.
How to read MCF
Start with the Book for guidance. Use the Canon to validate terms, boundaries, and what counts as evidence.
Canon vs Book
Canon defines validity. Book explains interpretation and application across the phases.
Start here
Pick the path that matches your immediate need.
New to MCF
Start with a guided overview and key concepts.
Need definitions
Use the Canon to anchor terms and boundaries.
Run a phase review
Use the phase intros to assess readiness and evidence.
See evidence in practice
Review real implementations and outcomes.
Evidence in practice
Real implementations and outcomes. Explore how MCF is applied in different contexts.
AFP SIEMBRA
Innovation capability building with governance and execution alignment, tied to measurable outcomes.
OGTIC - RedLab
National innovation lab network work: decision structure, methods, and evidence discipline across institutions.
Alpha Inversiones
Strategic transformation support with practical validation loops, operational alignment, and measurable signals.
Who is it for?
Pick the entry point that matches your institution and operating context.
Government and public sector
Decision clarity across policy, procurement, and service delivery with explicit evidence thresholds.
Private enterprises
Governance-aligned innovation without over-commitment, using evidence to guide scaling decisions.
Academia and research
Traceable concepts, stable definitions, and a Canon layer that preserves research interpretability.
Ecosystem builders
Labs, incubators, and accelerators that need shared evaluation language and evidence discipline.
FAQ
Plain-language answers for first-time readers.
Is MCF 2.2 a methodology or a checklist?
No. It is a decision framework. The Book gives guidance and examples; the Canon defines what is valid and how evidence should be interpreted.
What do you mean by evidence?
Evidence is observable information that can change a decision: behavior, outcomes, audits, performance signals, and traceable results.
What is a decision threshold?
A threshold is the minimum evidence quality required before you commit. Higher irreversibility means higher thresholds.
What are irreversible commitments?
Decisions that are expensive to unwind: long contracts, major hiring, regulatory exposure, or irreversible platform shifts.
Why separate Canon and Book?
So the framework stays stable. Canon defines validity and boundaries. The Book can evolve without changing the core rules.
Where should I start if I am new?
Start with How to read MCF. Then enter Phase 1 to build purpose, intent, governance readiness, and an evidence-oriented culture.
Do I need all phases for every initiative?
Not always. Use the phase spine as a map. The right move depends on decision risk, reversibility, and evidence sufficiency.
What is the difference between a framework and a methodology?
A framework defines boundaries and decision logic. A methodology prescribes step-by-step execution.
How does MCF relate to Design Thinking, Lean Startup, Agile, or OKRs?
MCF can use those methods as tools, but it centers on decision integrity: which evidence is required and when.
What counts as evidence in practice?
Observable signals tied to decisions: user behavior, audit results, performance metrics, or validated outcomes that can shift a commitment.
How does governance fit into MCF?
Governance sets boundaries and accountability for commitments. MCF keeps those boundaries explicit and evidence-based.
Is MCF only for startups?
No. It is designed for startups, enterprises, public institutions, and ecosystem builders.
What is the Canon?
Canon defines validity and boundaries. It is the normative layer that constrains interpretation and evidence claims.
What is the Book?
The Book is the explanatory layer. It translates Canon into accessible guidance, phases, and examples.
How do versions work?
Versions preserve interpretability over time. Canon changes are tracked so prior decisions remain auditable.
Is MCF open source and what is the license?
Yes. MCF is published under Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0). Read the license.
Can I adapt the framework for internal use?
You can adopt it internally. Redistribution of modified versions is limited by the license.
What is decision integrity?
It means decisions are traceable, evidence-backed, and constrained by explicit thresholds and boundaries.
How long does it take to apply MCF?
It depends on context and readiness. MCF is designed to fit existing cycles while improving decision quality over time.
Do I need to be an expert to use MCF?
No. The Book is written for practical use, and the Canon provides precision when needed.
The MicroCanvas Framework 2.2 is open source under Creative Commons CC BY-ND 4.0. You may share and reference it with attribution; modified distributions require compliance with the license.
Read the license