Managing Innovation Training Course

Participants can identify priority opportunities and frame them as evidence-based problems worth solving.

• Jobs to Be Done interviews identify functional, emotional and social progress
• Problem framing converts observations into testable opportunity statements
• Ethnographic observation records workarounds, unmet needs and contextual constraints
• Stakeholder maps expose adopters, buyers, users, blockers and influencers
• Persona hypotheses separate evidence-based segments from demographic assumptions
• Opportunity sizing estimates frequency, severity, willingness to pay and reach

Participants can facilitate disciplined idea generation and select concepts using explicit criteria.

• Design Thinking divergence and convergence structure disciplined idea generation
• How Might We questions convert constraints into productive creative prompts
• SCAMPER generates variations through substitution, combination, adaptation, modification, elimination and reversal
• Brainwriting 6-3-5 reduces production blocking and captures independent contributions
• Analogous-market scanning transfers solution patterns without copying surface features
• Idea selection matrices score desirability, feasibility, viability and strategic fit

Participants can develop concepts that state customer value, operating implications and critical assumptions.

• Value proposition canvases connect customer pains, gains and proposed benefits
• Assumption mapping ranks uncertainty and consequence before committing resources
• Concept posters specify target users, problem, solution, evidence and metrics
• Business Model Canvas tests value creation, delivery, capture and partners
• Service blueprints expose frontstage, backstage, handoff and failure-point dependencies
• Concept narratives communicate the change, rationale, proof and decision sought

Participants can design proportionate experiments that produce usable evidence for innovation decisions.

• Lean Startup build-measure-learn cycles convert assumptions into evidence
• Riskiest Assumption Test prioritises uncertainties that could invalidate a concept
• Minimum viable products test behaviour without building full solutions
• Experiment cards define hypothesis, method, sample, threshold, owner and date
• A/B tests compare alternatives using predefined success metrics and guardrails
• Evidence reviews distinguish signal, noise, bias, learning and next decisions

Participants can prioritise innovation initiatives and make funding decisions based on evidence and risk.

• Portfolio maps balance incremental, adjacent and transformational investment horizons
• Stage-Gate governance sets evidence thresholds, funding decisions and accountabilities
• Real options logic preserves flexibility under technical and market uncertainty
• Scoring criteria combine strategic fit, learning value, risk and return
• Kill criteria prevent escalation of commitment to weak initiatives
• Funding tranches match investment size to validated evidence milestones

Participants can lead team behaviours and working arrangements that support responsible experimentation.

• Psychological safety enables challenge, dissent, reporting and learning from failure
• Leadership behaviours model curiosity, candour, experimentation and disciplined follow-through
• Reward systems recognise validated learning, collaboration and customer impact
• Cross-functional teams clarify decision rights through RAPID roles
• Communities of practice spread methods, evidence and reusable patterns
• After-action reviews convert setbacks into specific process improvements

Participants can plan the transition from a validated pilot to a managed operational service.

• Operating models align governance, talent, processes, data and technology
• Product discovery and delivery cadences coordinate learning with execution
• RACI matrices assign accountable decisions, consultative input and delivery ownership
• Partner ecosystems define capabilities, incentives, interfaces and intellectual-property boundaries
• Change impact assessments identify affected roles, processes, controls and communications
• Implementation roadmaps sequence pilots, scale-up gates, dependencies and resource commitments

Participants can measure innovation progress, manage material risks and track realised benefits.

• North Star metrics connect customer value with strategic business outcomes
• Innovation accounting tracks learning velocity, adoption, retention and unit economics
• OKRs translate innovation ambitions into measurable team commitments
• Risk registers address regulatory, operational, reputational and cyber exposures
• Data ethics reviews assess consent, bias, explainability and data minimisation
• Benefits realisation plans assign baselines, owners, milestones and review cycles

Participants can secure stakeholder support and create a structured plan for applying course methods.

• Executive sponsorship secures mandate, resources, protection and decision access
• Innovation narratives link strategic priorities, customer evidence and investment choices
• Resistance mapping identifies concerns, influence patterns and response actions
• Facilitation techniques handle conflict, divergent views and difficult trade-offs
• Personal influence plans target stakeholders, messages, channels and commitments
• 90-day application plans define priorities, experiments, governance and review dates