Do we need an innovation lab or PMO in place?

No. IMM-P® installs the minimal governance and cadence you need. If you already have a lab or PMO, we integrate with it and strengthen decision gates, artifacts, and accountability.

How does ClarityScan® fit into the program?

ClarityScan® is the Phase 01 baseline. It establishes domain scores and phase readiness, aligns decision owners, and defines the first evidence gates. It becomes your before/after reference.

Can IMM-P® run remote?

Yes. IMM-P® is remote-first. We can add on-site kickoffs or checkpoints where it creates leverage.

Do we need engineering resources on day one?

Not necessarily. Early phases can run with interviews, prototypes, and concierge tests. As you move into pilots and scale, dedicated engineering or vendor capacity becomes valuable.

Innovation Maturity Model Program (IMM-P)®

Assess. Strengthen. Accelerate.

IMM-P® helps your team make better innovation decisions under uncertainty. We establish a clear baseline, align decision owners, and install a simple operating cadence that makes progress measurable. Delivery runs through five structured phases using the MicroCanvas Framework (MCF 2.2).

Book a discovery call See program structure

Built on MicroCanvas® v2.2 + IMM 2.2.

FOUNDATIONS

(capability spine)

STRUCTURED DISCOVERY& VALIDATION

EFFICIENCY

SCALING

CONTINUOUSIMPROVEMENT

What you get

A pragmatic, evidence-based operating model your team can run every week—so innovation decisions become repeatable, measurable, and less risky.

Baseline + scorecard

A domain-level baseline (capability + readiness) with clear gaps, strengths, and priority actions.

Evidence gates

A lightweight governance layer: what counts as evidence, when to stop, and when to scale.

Delivery cadence

A weekly operating rhythm (checkpoints, reviews, artifacts) aligned to your maturity phase.

Standard artifacts

Reusable templates: problem framing, experiments, decision logs, KPIs/OKRs, and risk notes.

90-day roadmap

A phased plan with measurable outcomes and ownership—so progress is visible to leadership.

Who is it for?

Startups

From idea to validated model with evidence gates, faster iteration, and measurable maturity improvements.

Public institutions

Innovation governance for complex environments: transparent decision trails, capability building, and scalable operating cadence.

Private organizations

A repeatable system for innovation delivery: governance, metrics, and operating rhythm that turns strategy into outcomes.

Incubators & accelerators

Improve cohort quality with evidence-first evaluation, clear stage gates, and reusable playbooks aligned to MCF 2.2.

Academic institutions

Research-to-impact pipelines, experimentation discipline, and governance for applied innovation programs and labs.

What you can expect

Momentum

Faster decision cycles, tighter experiments, and clear gates that reduce waste and increase learning velocity.

Clarity

Domain scores, phase readiness overlays, and KPIs that translate strategy into operating reality.

Capability

Reusable playbooks, decision memos, and governance routines your teams can sustain long after the program.

How IMM 2.2 measures maturity

IMM 2.2 measures maturity through domain scoring with phase readiness overlays. Each question is scored individually; advanced assessments require evidence documentation for auditability.

Evidence & epistemic discipline

How you separate assumptions from evidence and enforce thresholds before committing resources.

Decision logic & governance

How you allocate capital, define gates, document decisions, and maintain accountability.

Culture & behavior

Whether teams can invalidate safely, learn without blame, and collaborate across boundaries.

Iteration & adaptive improvement

How quickly you learn, iterate, and institutionalize what works across initiatives.

Systemic & AI governance

Data governance, auditability, lifecycle controls, and impact oversight as complexity increases.

Tiered delivery

Tier 1 snapshot, Tier 2 diagnostic, Tier 3 evidence-backed audit — one internal master instrument.

How we work

Baseline

Establish domain scores, capability readiness, and key decision owners.

Align

Agree on goals, evidence criteria, and operating cadence with leadership and core teams.

Run experiments

Design and execute focused discovery, validation, and optimization cycles.

Institutionalize

Embed learnings into routines, metrics, and ongoing operating rhythm.

Program structure (IMM-P®)

Five phases. Weekly masterclasses + clinics. Clear gates, owners, and decision criteria. Evidence stays in the loop.

Phase 01 — Foundations (Readiness & Operating System)

Baseline maturity (domain scoring, culture, governance, decision logic)
Install innovation governance (roles, cadence, intake, decision owners, gate criteria)
Establish evidence discipline (thresholds, decision memos, learning capture)
Reinforce culture & mindset (leadership rituals, meeting hygiene, accountability norms)
Set agile operating setup (boards, sprint rhythm, review/retro cadence)
Define program OKRs & KPIs (measurement plan, reporting cadence)
Select pilot candidates (sequencing, constraints, risk scan)
Build the Innovation OS blueprint (tooling, templates, evidence packs, decision memo format)
Run phase gate (readiness review + next-phase plan)

Key deliverables: Domain baseline; governance framework; OKRs/KPIs; pilot shortlist & criteria; Innovation OS blueprint; readiness decision memo.

Phase 02 — Structured Discovery & Validation

Synthesize customer insights (segments, interviews, jobs/pains/gains, alternatives)
Define the problem (problem statements, constraints, strategic objectives, OKR alignment)
Explore solutions (alternatives, value proposition, differentiation)
Prototype workflows (user stories, flows, low-to-mid fidelity prototypes)
Run experiments (hypotheses, test design, evidence loops, kill criteria)
Stand up validation infrastructure (tracking, synthesis, decision trails)
Outline GTM (channels, onboarding, retention levers, early sales motions)
Check business model signals (viability checks, operating assumptions)
Run phase gate (problem/solution fit decision memo)

Key deliverables: Research synthesis; problem & objective set; validated value proposition; experiment results; pilot plan; updated model; decision memo.

Phase 03 — Efficiency (Process, Automation, Quality)

Map processes (bottleneck removal, SOPs, handoffs, latency reduction)
Implement automation & integrations (workflows, data pipelines, system boundaries)
Establish data-driven cadence (dashboards, governance review rhythm)
Strengthen quality controls (defect prevention, acceptance criteria, reliability practices)
Integrate risk & compliance (controls, checklists)
Align cross-team interfaces (ownership, escalation paths)
Run continuous improvement loops (retrospectives, backlog hygiene, operating upgrades)
Run phase gate (operational readiness + pilot expansion memo)

Key deliverables: Process audit & actions; automation plan; QA/risk plan; dashboards; operating cadence; expansion decision memo.

Phase 04 — Scaling (Infrastructure, Partnerships, Growth)

Set scaling strategy (roadmap, sequencing, capacity planning)
Align infrastructure & org (roles, talent plan, operating model adjustments)
Develop partner ecosystem (selection, governance, interface management)
Build growth operating system (metrics, targets, experimentation at scale)
Expand GTM (sales/marketing systems, repeatable onboarding)
Model scale economics (unit economics, scenarios, risk and contingency)
Address internationalization considerations (where relevant)
Run phase gate (scale-up decision memo)

Key deliverables: Scaling plan; partner map; growth KPI system; GTM expansion plan; finance model; talent/org plan; scale decision memo.

Phase 05 — Continuous Improvement (Learning & Resilience)

Install continuous learning system (feedback loops, retrospectives, portfolio reviews)
Build knowledge management (playbooks, patterns, institutional memory)
Run trend sensing & foresight (signals, scenarios, adaptive strategy refresh)
Track impact (outcomes, stakeholder communication)
Maintain resilience playbook (risks, continuity, sustainability practices)
Refresh operating cadence (quarterly reviews, governance upgrades, OKR recalibration)
Set long-term roadmap (capability upgrades, maturity targets)
Run phase gate (long-term operating review memo)

Key deliverables: Continuous improvement strategy; foresight inputs; impact measures; resilience plan; long-term roadmap; operating review memo.

Method backbone: MicroCanvas Framework (MCF 2.2) + IMM 2.2 (domain scoring, phase readiness, evidence gates).

Delivery options

Choose the operating cadence that matches your constraints. We keep the same gates and artifacts—only the depth and rollout change.

12-week core track

Foundations + Structured Discovery & Validation. Best for teams that need a fast baseline, clear gates, and a first pilot plan.

Domain baseline + phase readiness
Governance cadence installed (weekly)
Evidence gates + decision memos

24+ week rollout

Two 12-week cycles covering Foundations plus Structured Discovery & Validation, followed by Efficiency, Scaling, and Continuous Improvement.

Phase-by-phase delivery + gates
Pilot execution support
Operating cadence reinforcement

Multi-team / portfolio

For institutions and larger organizations running multiple initiatives. Adds portfolio governance and standardization.

Intake + prioritization model
Portfolio reviews + auditability
Shared playbooks & templates

Book a discovery call See program structure

Prefer starting with a baseline? Learn about ClarityScan®.

IMM-P® — Frequently asked questions

How long does the program take?

Most teams start with a 12-week core track focused on Foundations plus Structured Discovery & Validation. Larger rollouts extend to 24+ weeks across all five phases with additional pilots and operating cadence improvements.

What’s the time commitment per week?

Expect a weekly masterclass (60–90 minutes), one clinic (60 minutes), plus team time for experiments and delivery. Cadence is tailored to your context.

Who should be involved?

A cross-functional core team and visible decision owners. We help you staff roles and install a lightweight Innovation Governance Framework aligned to your operating reality.

Do we need a lab or PMO first?

No. IMM-P® installs the minimal governance and cadence you need. If you already have a lab/PMO, we integrate and strengthen gates, artifacts, and accountability.

Where does ClarityScan® fit?

We run a ClarityScan® in Phase 01 to establish domain scores and phase readiness, align decision owners, and define the first evidence gates.

Is IMM 2.2 domain-based or phase-based?

Both. Scoring is domain-based (how you decide, govern, learn, and scale) and it also produces phase readiness overlays for Structured Discovery & Validation, Efficiency, Scaling, and Continuous Improvement.

Do you require evidence for scoring?

Tier 1 and Tier 2 can run as scored assessments. Tier 3 requires evidence documentation for auditability, compliance, and institutional learning.

Can the program run remotely?

Yes. Remote-first by design, with optional on-site kickoffs or checkpoints.

What do we receive at the end?

Domain scores and phase readiness overlays, evidence packs and decision memos at each gate, a pilot plan (or shipped pilot), a working governance cadence, and reusable playbooks/templates aligned to MCF 2.2.

Do we need engineering on day one?

Not necessarily. Early phases can run with interviews, prototypes, and concierge tests. Later phases benefit from dedicated engineering or vendor capacity.

How is pricing structured?

Scope-based. We’ll shape a right-sized plan during intake. Talk to us.

How do you handle data and privacy?

Privacy-first analytics only. You own your data. We operate under NDAs and follow your security and compliance requirements.