Corporate Innovation and Venturing Training Course

Participants can create an innovation thesis that directs search and investment decisions.

• Innovation thesis components: target domains, customer groups, capabilities and investment boundaries
• Strategic intent translated into explicit opportunity areas and exclusion criteria
• Growth gaps quantified through revenue ambition, market timing and capability assessment
• PESTLE signals screened for material strategic implications and plausible disruptions
• Porter’s Five Forces used to assess industry profit pools and entry barriers
• Strategic adjacencies mapped across customers, offerings, channels and operating capabilities

Participants can identify and prioritise opportunity spaces from market and customer signals.

• Trend radar built from technological, regulatory, social and economic signals
• Weak signals distinguished from established trends, fads and temporary market noise
• Scenario planning tests opportunity resilience under contrasting future market conditions
• Opportunity spaces framed around underserved jobs, friction points and value pools
• Market sizing uses top-down, bottom-up and value-theory estimation methods
• Prioritisation matrix compares strategic fit, attractiveness, feasibility and timing

Participants can frame customer problems as actionable venture opportunities.

• Jobs to Be Done identifies functional, emotional and social customer progress
• Customer journey mapping exposes pain points, workarounds and moments of truth
• Problem statements specify customer segment, context, unmet need and consequences
• Segmentation separates high-potential users from broad demographic averages and assumptions
• Ethnographic observation captures behaviours that interviews alone may not reveal
• Opportunity interviews avoid leading questions, solution bias and confirmation bias

Participants can generate, refine and select concepts against agreed venture criteria.

• How Might We questions convert validated customer problems into creative prompts
• Brainwriting 6-3-5 generates concepts without dominant voices distorting participation
• SCAMPER challenges existing offerings through substitution, combination and purposeful modification
• Concept posters define target users, value proposition, delivery model and assumptions
• Desirability, feasibility and viability criteria score early-stage concept alternatives
• Concept selection avoids novelty bias, executive preference and unsupported solution claims

Participants can articulate differentiated value propositions for priority customer segments.

• Value Proposition Canvas connects customer pains, gains and proposed benefits
• Positioning statements define target users, alternatives, distinctive value and proof
• Competitive alternatives include non-consumption, manual workarounds and incumbent solutions
• Differentiation choices assess convenience, cost, quality, trust and switching barriers
• Minimum Viable Proposition clarifies the smallest credible customer promise
• Message testing checks relevance, clarity, credibility and customer comprehension

Participants can design a coherent business model for a corporate venture.

• Business Model Canvas maps value creation, delivery, capture and critical dependencies
• Revenue models compare subscription, transaction, licensing, usage and outcome-based pricing
• Key partners identified where assets, channels or capabilities remain externally held
• Operating model choices distinguish centralised, embedded and standalone venture structures
• Business-model risks include channel conflict, cannibalisation and adverse incentives
• Model coherence tested between customer value, economics, capabilities and strategic fit

Participants can identify critical uncertainties and design proportionate validation tests.

• Assumption mapping ranks beliefs by uncertainty and consequence for venture viability
• Riskiest assumption tests focus evidence collection on potential venture-killing uncertainties
• Hypothesis statements specify audience, expected behaviour, threshold and test conditions
• Experiment cards document method, sample, metric, decision rule and learning objective
• Smoke tests measure demand signals before building full products or services
• Concierge tests validate service value through manual delivery and direct observation

Participants can gather customer evidence and interpret it without confirmation bias.

• Customer discovery plan defines participant criteria, recruitment channels and interview objectives
• Problem interviews examine past behaviours rather than hypothetical future intentions
• Interview guides sequence context questions, behavioural probes and evidence capture
• Evidence ledger separates observations, interpretations, assumptions and decision implications
• Sample limitations assessed through selection bias, small numbers and respondent incentives
• Triangulation combines interviews, behavioural data, operational records and market research

Participants can select prototypes and minimum viable products appropriate to venture risk.

• Prototype fidelity selected according to learning objective, cost and decision urgency
• Paper prototypes test workflow, comprehension and customer task completion quickly
• Service blueprints reveal frontstage interactions, backstage processes and operational handoffs
• Minimum Viable Product scope protects learning while avoiding unnecessary feature investment
• Wizard of Oz prototypes test perceived automation before technical development
• Usability metrics include task success, completion time, error rate and confidence

Participants can build initial venture economics and identify key financial drivers.

• Unit economics calculates contribution margin from price, variable cost and retention
• Customer acquisition cost compared with lifetime value under explicit retention assumptions
• Fixed-cost structure distinguishes venture launch costs from scalable operating expenditure
• Breakeven analysis identifies volume, price and margin thresholds for viability
• Sensitivity analysis tests economics against adverse demand, cost and conversion scenarios
• Financial assumptions linked directly to experiments, evidence and management decisions

Participants can select a venturing mechanism suited to strategic intent and uncertainty.

• Internal ventures suit opportunities requiring corporate assets and strategic control
• Venture clienting tests startup solutions through paid adoption before investment
• Strategic partnerships combine complementary assets, capabilities, channels and market access
• Corporate venture capital assesses financial return, strategic learning and option value
• Venture building creates new businesses through dedicated teams and repeatable platforms
• Build-buy-partner decisions compare speed, control, capability access and integration risk

Participants can structure external innovation collaborations with appropriate safeguards.

• Open innovation search identifies startups, universities, suppliers and specialist communities
• Partner screening assesses strategic fit, technical maturity, finances and cultural compatibility
• Memoranda of understanding define intent, scope, governance and early commitments
• Intellectual property clauses allocate background rights, foreground rights and usage restrictions
• Data-sharing arrangements address consent, access controls, retention and accountability
• Partnership scorecards monitor value creation, milestones, dependencies and relationship health

Participants can design governance that supports speed, accountability and informed escalation.

• Innovation governance specifies decision forums, authority limits and escalation pathways
• RACI matrices clarify sponsor, venture lead, functional expert and committee accountabilities
• Executive sponsors remove barriers, secure resources and protect strategic intent
• Stage-gate reviews assess evidence quality rather than presentation polish or hierarchy
• Decision rights distinguish reversible experiments from irreversible capital commitments
• Governance cadence aligns venture learning cycles with corporate planning requirements

Participants can manage a balanced portfolio of innovation initiatives and investment choices.

• Portfolio map balances core improvements, adjacencies and transformational venture opportunities
• Risk-return profiles compare strategic value, uncertainty, capital needs and time horizons
• Portfolio diversification avoids concentration in one technology, market or customer segment
• Kill, pivot, persevere decisions use pre-agreed evidence thresholds and strategic relevance
• Resource allocation considers funding, talent, executive attention and scarce corporate assets
• Portfolio dashboards report learning progress, option value, traction and investment exposure

Participants can prepare investment requests that reflect uncertainty and staged commitment.

• Investment memos state opportunity, evidence, strategic rationale, request and decision needed
• Real-options logic values staged investment under uncertain future market conditions
• Tranche funding releases capital when predefined evidence and milestones are achieved
• Strategic value includes capability development, market access and defensive positioning
• Discounted cash flow limitations recognised for early-stage ventures with uncertain inputs
• Investment committees challenge assumptions, downside exposure, alternatives and opportunity cost

Participants can plan transition from validated venture to scaled business operation.

• Scale readiness assesses repeatable demand, unit economics, operating capacity and leadership
• Go-to-market plans specify target segments, channels, sales motions and adoption metrics
• Capability roadmaps sequence technology, operations, risk, legal and talent requirements
• Core-business integration choices assess shared services, brand, channels and governance
• Change management addresses incentives, resistance, cannibalisation and internal stakeholder alignment
• Scaling metrics track activation, retention, revenue, service quality and operational reliability

Participants can identify venture risks and incorporate responsible innovation controls.

• Risk registers capture strategic, commercial, operational, regulatory and reputational exposures
• Pre-mortem analysis identifies plausible venture failure modes before major commitments
• Responsible innovation considers affected groups, unintended consequences and distributional effects
• Algorithmic decision risks include bias, explainability, privacy and human oversight
• Regulatory mapping identifies licences, conduct duties, consumer protection and reporting obligations
• Control design assigns risk owners, monitoring indicators, mitigations and escalation triggers

Participants can organise venture teams and lead productive work across corporate boundaries.

• Venture team roles combine customer insight, product, commercial and operational expertise
• Ambidextrous leadership balances exploitation discipline with exploratory learning and experimentation
• Psychological safety supports dissent, evidence sharing and early disclosure of failure
• Team charters define purpose, roles, meeting cadence, decisions and conflict resolution
• Stakeholder maps identify supporters, blockers, influencers and resource gatekeepers
• Narrative techniques communicate uncertainty without overstating certainty or suppressing risks

Participants can build, review and present a complete corporate venture blueprint for investment consideration.

• Innovation thesis anchors the venture opportunity within strategic growth priorities
• Opportunity brief defines customer problem, market evidence and strategic rationale
• Business Model Canvas presents value creation, delivery, capture and dependencies
• Assumption map prioritises critical uncertainties and proposed evidence-gathering tests
• Investment memo sets staged funding request, milestones, risks and governance
• Investment committee presentation defends venture logic, recommendations and immediate next actions