Digital Culture and Organisational Change Training Course

Participants can explain how culture shapes decisions, collaboration and digital transformation results.

• Culture as shared assumptions shaping decisions, priorities and everyday behaviour
• Schein’s three levels: artefacts, espoused values and basic assumptions
• Observable behaviours distinguished from attitudes, personality traits and stated intentions
• Formal systems and informal norms influencing employee choices
• Psychological safety as a condition for learning, challenge and experimentation
• Cultural signals transmitted through leadership attention, rewards and promotions

Participants can conduct a structured diagnosis of cultural enablers and barriers to digital change.

• Competing Values Framework profiles: clan, adhocracy, market and hierarchy
• Culture evidence gathered through interviews, observations, documents and survey data
• Semi-structured interview guides for identifying assumptions behind recurring behaviours
• Artefact analysis covering meetings, approval flows, dashboards and workspace design
• Triangulating stated values against actual decisions, incentives and resource allocation
• Culture diagnosis findings written as evidence-based behaviour statements

Participants can define a target culture and priority behaviours for a digital transformation.

• Target culture linked directly to transformation objectives and operating-model choices
• Behavioural anchors describing what employees do differently in specific situations
• From value statements to observable routines, decisions and team interactions
• Prioritising behaviours through impact, feasibility and leadership visibility criteria
• Digital mindsets: customer focus, experimentation, data use and collaboration
• Behaviour dictionaries for leaders, managers, specialists and frontline employees

Participants can assess the scale and nature of change affecting different stakeholder groups.

• Change-impact assessment across processes, roles, systems, skills and controls
• Stakeholder segments defined by exposure, influence, readiness and support needs
• Readiness assessment covering sponsorship, capacity, capability and change history
• Heat maps showing cumulative change burden across business units
• Role-impact matrices linking new processes to changed accountabilities and behaviours
• Assumption logs separating validated evidence from untested change hypotheses

Participants can identify stakeholder priorities and build an effective sponsorship structure.

• Power-interest grids for prioritising stakeholder engagement and communication effort
• Sponsor mapping across executive, operational, technical and employee representative groups
• Stakeholder personas based on needs, concerns, motivations and information preferences
• Influence networks identifying trusted peers, informal leaders and resistant groups
• Sponsor coalition charters defining decisions, visibility and escalation responsibilities
• RACI matrices clarifying ownership for change decisions and adoption outcomes

Participants can construct a change case that connects digital investment with meaningful stakeholder outcomes.

• Case for change structured around current pain, future state and consequences
• Benefits maps connecting digital capabilities to operational and customer outcomes
• Audience-specific messages addressing loss, uncertainty, effort and opportunity
• Narrative architecture using problem, evidence, choice, action and commitment
• Change-story testing against stakeholder concerns and organisational realities
• Sponsor talking points grounded in credible evidence and delivery commitments

Participants can design individual adoption actions using the ADKAR framework.

• ADKAR stages: awareness, desire, knowledge, ability and reinforcement
• Awareness interventions explaining why current practices can no longer continue
• Desire factors including trust, fairness, workload and local incentives
• Knowledge plans combining process guidance, role training and performance support
• Ability verification through observed performance, coaching and error analysis
• Reinforcement mechanisms using recognition, feedback, metrics and consequence management

Participants can use Kotter’s approach to sequence organisation-wide digital change activity.

• Kotter’s eight steps applied to multi-year digital transformation programmes
• Urgency evidence drawn from customer demand, risk, cost and service failures
• Guiding coalitions balanced across authority, expertise, credibility and representation
• Short-term wins selected for visibility, relevance and measurable value
• Barriers removed through policy changes, decision rights and resource allocation
• Anchoring practices within recruitment, performance management and leadership routines

Participants can specify leadership practices that reinforce digital ways of working.

• Leader role modelling through visible decisions, questions and resource choices
• Situational leadership responses to uncertainty, capability gaps and resistance
• Psychological safety practices for reporting failures, risks and customer feedback
• After-action reviews examining outcomes, assumptions, decisions and learning actions
• Leader standard work for portfolio reviews, coaching and obstacle removal
• Accountability conversations using agreed expectations, evidence and follow-through

Participants can equip line managers to lead adoption within their teams.

• Manager cascade plans translating enterprise messages into team-level implications
• One-to-one conversation guides for individual concerns, capability and performance
• Team huddles structured around changes, risks, decisions and feedback
• Manager toolkits containing FAQs, escalation routes and demonstration materials
• Coaching models using GROW questions for adoption and performance barriers
• Local action trackers linking commitments, owners, dates and evidence

Participants can create a targeted communication plan for digital transformation audiences.

• Communication planning by audience, objective, message, channel and timing
• Message maps connecting strategic intent with practical role-level consequences
• Two-way communication channels for questions, concerns and employee-generated ideas
• Communication cadence aligned with releases, decisions and key transition points
• Rumour management using rapid clarification, evidence and manager briefings
• Plain-language communication for technical change, risk controls and new responsibilities

Participants can diagnose resistance and select proportionate responses to adoption barriers.

• Resistance diagnosis separating capability, capacity, incentives, trust and identity concerns
• Force-field analysis mapping drivers, restraining forces and intervention options
• Change fatigue indicators: overload, cynicism, withdrawal and declining participation
• Conflict resolution using interests, options, criteria and agreed commitments
• Resistance conversations that acknowledge loss without weakening required standards
• Portfolio sequencing to reduce overlapping demands on affected employee groups

Participants can identify cultural shifts required for agile and product-based delivery models.

• Product operating models organised around customer problems and persistent teams
• Agile values compared with existing command-and-control delivery habits
• Scrum roles, events and artefacts as behavioural coordination mechanisms
• Cross-functional collaboration barriers involving silos, targets and approval rights
• Decision latency measured through handoffs, queues and escalation paths
• Retrospectives converting delivery evidence into team-level improvement actions

Participants can define cultural practices that improve responsible use of data in decisions.

• Decision rights specifying who decides, recommends, consults and executes
• Evidence-based decisions combining data, professional judgement and customer insight
• Data literacy expectations for interpreting measures, uncertainty and limitations
• Metric design preventing local optimisation, gaming and misleading performance signals
• Data governance roles: owner, steward, custodian and accountable executive
• Ethical data practices addressing privacy, bias, transparency and consent

Participants can establish learning practices that support controlled experimentation and improvement.

• Hypothesis-driven experimentation using assumptions, tests, measures and decision rules
• Minimum viable product boundaries for testing value before wider investment
• Test-and-learn cycles linking customer evidence to product backlog decisions
• Blameless post-incident reviews focused on systems, learning and corrective action
• Innovation governance balancing experimentation, risk appetite and regulatory obligations
• Knowledge-sharing routines using communities of practice and reusable playbooks

Participants can address inclusion and trust risks arising from digital transformation decisions.

• Digital inclusion risks involving access, skills, language and accessibility
• Algorithmic decision impacts assessed for fairness, explainability and human oversight
• Workforce consultation approaches for automation, role redesign and redeployment
• Trust-building through transparent criteria, timely information and meaningful participation
• Accessibility considerations within digital tools, training materials and communications
• Ethical escalation routes for employee concerns about technology-enabled decisions

Participants can build a measurement approach for culture change and digital adoption.

• Logic models linking interventions, behavioural outputs and business outcomes
• Leading indicators measuring readiness, participation, confidence and manager activity
• Lagging indicators measuring adoption, quality, productivity and customer outcomes
• Pulse survey design using behaviourally specific questions and response segmentation
• Qualitative feedback analysis through coding, themes and recurring friction points
• Balanced scorecards integrating people, process, customer and financial measures

Participants can establish governance routines that sustain cultural and behavioural change after rollout.

• Change governance structures linking programme boards, sponsors and local owners
• Benefits-realisation reviews comparing planned outcomes with adoption evidence
• Control plans defining measures, review frequency, thresholds and corrective actions
• Performance management alignment with target behaviours and transformation priorities
• Policy and procedure updates removing contradictions with new working practices
• Transition-to-business plans assigning ownership after programme closure

Participants can assemble the sections, dependencies and governance of an integrated change plan.

• Change-plan architecture integrating culture, stakeholders, communications, capability and measurement
• Workstream dependencies mapped across technology releases, process readiness and workforce actions
• Implementation roadmaps sequenced by impact, readiness, capacity and critical milestones
• Risk registers covering adoption, leadership, capability, trust and operational continuity
• Resource estimates for sponsor time, manager capacity and change support
• Quality criteria for practical, measurable and accountable change plans

Participants can build, review and present a complete Digital Culture and Change Action Plan for a defined transformation case.

• Culture diagnosis synthesised into priority barriers, enablers and evidence statements
• Target behaviours linked to transformation outcomes, roles and leadership practices
• Stakeholder strategy specifying sponsors, audiences, influence and engagement actions
• ADKAR interventions sequenced with communications, manager support and capability actions
• Adoption scorecard combining leading indicators, outcome metrics and feedback loops
• Peer review against feasibility, evidence, accountability and implementation risks