Part Six
Phase 0 - Mandate and decision agenda
The purpose of Phase 0 is to ensure that the work is anchored in real strategic decisions rather than generic aspiration. A Quantified Vision™ engagement begins by clarifying why the work is required now and what choices must be made.
Typical triggers
- A new CEO or leadership team.
- Slowing growth.
- Margin erosion.
- Portfolio complexity.
- AI or technology disruption.
- Declining relevance.
- Post-merger integration.
- Strategic drift.
- Market entry or geographic expansion.
- Investor pressure.
- Business-model transition.
- Industrial policy shift.
- Capability transformation.
- Need for organisational mobilisation.
Key questions
- Why is this vision work necessary now?
- What decisions must the vision resolve?
- Which decisions have been delayed, avoided or repeatedly revisited?
- What time horizon matters?
- What is in scope and out of scope?
- Which stakeholders must be aligned?
- What level of evidence is required?
- What will the final output be used for?
- What would count as a successful outcome?
Outputs
- Vision Mandate.
- Strategic Decision Agenda.
- Scope and Horizon Definition.
- Stakeholder Map.
- Evidence Plan.
- Workshop Plan.
- Success Criteria.
Exhibit 5
Vision Mandate template
| Component | Required answer |
|---|---|
| Strategic context | Why vision work is required now. |
| Decision agenda | The strategic choices that must be resolved. |
| Time horizon | The period over which the vision must remain relevant. |
| Scope | Businesses, geographies, customers, value-chain areas and functions included. |
| Exclusions | Areas deliberately not addressed. |
| Leadership group | Decision-makers and required participants. |
| Evidence requirements | Analyses, interviews, benchmarks and data required. |
| Outputs | Vision, governing objectives, strategy bridge, roadmap, mobilisation plan. |
| Success test | What the organisation should be able to do after the work. |
Practitioner note
If the mandate cannot name the strategic choices to be resolved, the engagement is not yet ready to begin. Clarify the decision agenda before building the evidence base.
Part Seven
Phase 1 - Leadership alignment and strategic issue discovery
The purpose of Phase 1 is to understand how the leadership team currently sees the future, the customer, the core, the competitive environment, disruption, AI, capabilities and growth. This is a diagnostic of assumptions and alignment.
Key questions
- What does each leader believe the organisation should become?
- What business does each leader believe the organisation is in?
- What does each leader believe the core is?
- Where does each leader believe future growth will come from?
- Which technologies or AI shifts are considered material?
- Which threats are underestimated?
- Which opportunities are overestimated?
- Which capabilities are believed to be distinctive?
- Which trade-offs are difficult?
- Which issues repeatedly resurface without resolution?
Activities
- Confidential executive interviews.
- Leadership survey.
- Review of prior strategy documents.
- Review of board materials and performance reports.
- Mapping of strategic assumptions.
- Identification of alignment and misalignment.
- Strategic issue synthesis.
Outputs
- Leadership Alignment Map.
- Strategic Assumption Inventory.
- Strategic Issue Register.
- Management Belief Heatmap.
- Initial Vision Hypotheses.
Exhibit 6
Leadership alignment dimensions
| Dimension | Diagnostic question |
|---|---|
| Business definition | Are leaders defining the business by product, market, capability, customer need or ecosystem role? |
| Core definition | Do leaders agree on the true economic core? |
| Growth ambition | Is ambition incremental, adjacency-led, transformational, defensive or renewal-led? |
| Disruption view | Do leaders agree on the relevance of AI and other technologies? |
| Risk posture | Is the organisation conservative, option-led, selective in big bets or aggressively shaping? |
| Time horizon | Is the team solving for this year, the next planning cycle or the next strategic era? |
| Capability confidence | Are capabilities overestimated, underestimated or misunderstood? |
| Portfolio view | Which activities are considered core, adjacent, optional or non-core? |
| Strategic tension | Which trade-offs are unresolved? |
Practitioner note
Leadership misalignment is not a problem to hide. It is one of the most valuable inputs to the process. The aim is to make differences in assumptions explicit before they become differences in execution.
Part Eight
Phase 2 - Quantified foresight base
The purpose of Phase 2 is to replace anecdote with evidence. The foresight base is the structured evidence platform for the entire vision process. It identifies the observable changes already reshaping the business and the forces likely to affect future relevance, economics, competition and capabilities.
Evidence domains
| Domain | Areas of analysis |
|---|---|
| Customer and demand | Needs, occasions, non-consumption, willingness to pay, adoption, churn, lifetime value. |
| Substitutes | Alternative ways customers can solve the same problem. |
| Competitors | Incumbents, attackers, adjacent players, platforms and ecosystem orchestrators. |
| Technology and AI | Automation, data, models, digital platforms, product technology and workflow disruption. |
| Economics | Market size, growth, profit pools, margins, cost curves, capital intensity and returns. |
| Regulation and policy | Current rules, future policy direction, compliance, competition and industrial policy. |
| Society and demographics | Population shifts, work patterns, trust, consumption, income distribution and stakeholder expectations. |
| Organisation | Capabilities, culture, governance, systems, talent, productivity and investment capacity. |
Evidence card structure
Each evidence item should be captured as a structured card:
- Observable fact.
- Source and confidence.
- Time horizon.
- Affected customer need.
- Affected value pool.
- Affected competitor set.
- Implication for the current core.
- Implication for potential adjacencies.
- AI or technology relevance.
- Uncertainty level.
- Strategic implication.
Outputs
- Quantified Foresight Base.
- Evidence Card Library.
- Market and Value Pool Fact Pack.
- Competitor and Substitute Map.
- Customer Need Evidence Pack.
- Technology and AI Shift Pack.
- Internal Performance Baseline.
Exhibit 7
From evidence to strategic implication
| Evidence statement | Driver | Strategic implication | Action |
|---|---|---|---|
| Customers increasingly expect instant fulfilment. | Convenience compression. | Slow service models lose relevance. | Redesign delivery model and cost-to-serve. |
| AI tools reduce the cost of expert analysis. | Expertise automation. | Advisory margins may compress where expertise is routine. | Shift from analysis production to judgement, assurance and implementation. |
| New entrants are targeting low-margin segments. | Low-end entry. | Current margins may be protected in the short term but exposed over time. | Build low-cost option or self-disruptive offer. |
| Regulation is moving toward data accountability. | Trust and governance. | Data advantage requires stronger assurance. | Invest in data governance and responsible AI capability. |
Practitioner note
A trend is not useful because it is interesting. It is useful when it changes customer value, profit pools, competitive position, capability requirements or commitment timing.
Part Nine
Phase 3 - Customer Need Arena
The purpose of Phase 3 is to define the business around the customer need or outcome the organisation intends to serve. This phase prevents product myopia.
The business definition ladder
| Level | Question | Risk |
|---|---|---|
| Product | What do we sell? | Too narrow; misses substitutes. |
| Category | What industry are we in? | Often defined by incumbents, not customers. |
| Channel | How do we reach customers? | May overprotect legacy routes to market. |
| Capability | What do we do unusually well? | Useful, but may become inward-looking. |
| Customer need | What customer problem do we solve? | Stronger basis for future strategy. |
| Customer outcome | What result do customers ultimately seek? | Powerful but must be disciplined by right to win. |
| Ecosystem role | What system do we enable, orchestrate or control? | Powerful where platforms, data, trust or coordination matter. |
Key questions
- What are customers really trying to achieve?
- What job are we being hired to do?
- What pain, risk, cost, delay or complexity do we remove?
- Which customers are over-served, under-served or unserved?
- What substitutes could solve the same need?
- How could AI change what customers can do for themselves?
- Which new technologies could make the current product less relevant?
- What would the business be called if it were named after the customer outcome rather than today’s product?
Outputs
- Customer Need Arena Definition.
- Demand Arena Map.
- Substitute Solution Map.
- Customer Outcome Hierarchy.
- Non-Consumption Opportunity Map.
- Customer Relevance Risk Assessment.
Exhibit 8
Customer need reframing
| Narrow definition | Broader customer need definition | Strategic implication |
|---|---|---|
| We run trains. | We move people and goods reliably, safely and economically. | Competitors include road, air, logistics platforms and digital substitution. |
| We sell books in stores. | We help customers discover, buy, access and enjoy knowledge and entertainment. | Competitors include e-commerce, e-books, streaming, communities and recommendation engines. |
| We provide bank branches. | We help customers move, store, borrow, invest and protect money with trust and convenience. | Channels, data, platforms and embedded finance become strategic. |
| We sell cameras and film. | We help people capture, store, share and relive memories. | Digital imaging, smartphones, cloud storage and social platforms become central. |
| We provide consulting advice. | We help leaders make better decisions and deliver measurable change. | AI, data, implementation, tools and decision systems become part of the arena. |
Case sidebar: Marketing myopia in practice
The classic warning from the railroad example is not about railroads. It is about business definition. When leaders define the business by the asset they operate rather than the customer need they serve, they often miss the substitute that solves the same need differently. The practitioner lesson is simple: before defining the future, define the need.
Practitioner note
A broader definition should reveal new strategic possibilities. If it simply makes the business sound grander without changing choices, it is not useful.
Part Ten
Phase 4 - Core definition and core health
The purpose of Phase 4 is to define the true economic core and determine whether it should be intensified, extended, migrated, reinvented or selectively exited. This phase prevents unfocused diversification.
What is the core?
The core is the part of the enterprise where the organisation has the strongest combination of:
- Attractive customers.
- Profitable products or services.
- Defensible channels.
- Strong geographies.
- Distinctive capabilities.
- Valuable assets.
- Repeatable economics.
- Strategic control.
- Management confidence.
- Future relevance.
The core may not be the largest business. It may be the most profitable customer segment, the most transferable capability, the most trusted brand position, the most valuable data asset, the most defensible relationship network or the most scalable operating model.
Core dimensions
| Dimension | Diagnostic question |
|---|---|
| Core customers | Which customers generate the strongest economics, loyalty, learning and strategic relevance? |
| Core products and services | Which offerings create disproportionate profit, pull-through, differentiation or control? |
| Core channels | Which routes to market provide privileged access, economics or influence? |
| Core geographies | Where does the organisation have the strongest position and most replicable advantage? |
| Core capabilities | What does the organisation do better than competitors in ways customers value? |
| Core assets | Which brands, data, relationships, licences, infrastructure or intellectual property are difficult to copy? |
| Core economics | Where do margin, cash flow, returns and reinvestment capacity actually come from? |
| Core control points | Where does the organisation influence standards, access, pricing, data, trust or coordination? |
Core health categories
| Category | Meaning | Strategic implication |
|---|---|---|
| Underexploited core | The core has more growth or profit potential than current performance suggests. | Intensify, sharpen and invest. |
| Extendable core | The core can support moves into adjacent customers, products, channels, geographies or value-chain positions. | Build repeatable adjacency growth. |
| Constrained core | The core is attractive but limited by market size, regulation, capability, capital or structure. | Extend selectively or redesign constraints. |
| Eroding core | The core is losing relevance, margin, share, control or customer pull. | Defend, migrate, hedge or reinvent. |
| Reinventable core | Hidden assets can become the basis of a new core. | Identify, test and scale a new success formula. |
| Non-core drag | Activities consume resources without strategic relevance or attractive economics. | Exit, divest, outsource, simplify or harvest. |
Hidden assets
Hidden assets are underused sources of future advantage. Examples include:
- Customer trust.
- Proprietary data.
- Installed base.
- Technical know-how.
- Operating routines.
- Brand permission.
- Regulatory licences.
- Distribution access.
- Supplier relationships.
- Expert networks.
- Decision models.
- Platforms and systems.
- Geographic footprint.
- Procurement scale.
- Talent pools.
- Intellectual property.
Hidden assets are often central to core reinvention.
Exhibit 9
Core Health Diagnostic
| Diagnostic question | Underexploited core | Extendable core | Eroding core | Reinventable core |
|---|---|---|---|---|
| Is demand still attractive? | Yes | Yes, plus new demand nearby | Declining or shifting | Demand may exist in a new form |
| Are margins attractive? | Yes, but not fully captured | Attractive if capability travels | Compressing | New economics possible |
| Are capabilities distinctive? | Yes | Yes, transferable | Losing relevance | Some capabilities can be recombined |
| Are assets underused? | Some | Yes | Possibly stranded | Often central |
| Is the response mostly operational or strategic? | Operational and commercial | Strategic expansion | Strategic defence or migration | Strategic reinvention |
| Preferred posture | Intensify | Extend | Defend, migrate or exit | Test and build new core |
Case sidebar: AWS and hidden-asset reinvention
Amazon’s cloud business illustrates how a capability developed to solve internal infrastructure problems can become a new external growth platform. The broader lesson is that hidden assets often look like internal plumbing before they become strategic businesses. Quantified Vision™ therefore asks not only “what do we sell?” but “what have we learned to do unusually well that others may need?”
Practitioner note
Do not let management define the core emotionally. The core is not what the organisation loves. It is where the organisation has the strongest evidence of customer relevance, economic performance and transferable advantage.
Part Eleven
Phase 5 - Disruptive technology and AI impact diagnostic
The purpose of Phase 5 is to test whether disruptive technologies, AI-enabled models, platforms or new entrants could reshape the customer need, erode the core, create new adjacencies or require core reinvention.
Sustaining versus disruptive technology
| Technology effect | Description | Strategic implication |
|---|---|---|
| Sustaining improvement | Technology improves the existing performance model for current customers. | Strengthen the core and improve the current business system. |
| Low-end disruption | Technology enables a simpler or lower-cost offer for over-served customers. | Defend the core, redesign cost-to-serve or create a lower-cost business model. |
| New-market disruption | Technology enables non-consumers or under-served customers to access a solution for the first time. | Create options, new channels, new propositions or new business units. |
| Business-model disruption | Technology changes how value is created, delivered, priced, monetised or controlled. | Reassess value pools, capabilities, partnerships and competitive position. |
Key disruption questions
- Which customers are over-served by the current product?
- Which customers are under-served or excluded?
- Could a simpler, cheaper or more convenient solution become good enough?
- Could a new entrant avoid the incumbent cost structure?
- Could a new entrant serve unattractive customers and improve over time?
- Could a technology that looks inferior today redefine performance tomorrow?
- Could a platform capture the customer relationship?
- Could an AI-enabled workflow compress the value chain?
- Could the current profit formula make leadership reluctant to self-disrupt?
- Should the organisation cannibalise itself before someone else does?
Exhibit 10
Disruption Diagnostic
| Diagnostic lens | Question | Warning sign | Potential response |
|---|---|---|---|
| Customer over-service | Are some customers paying for more performance than they need? | Low-cost entrants gain traction in ignored segments. | Build a simpler offer or separate low-cost model. |
| Non-consumption | Are potential customers excluded by cost, complexity or access? | New entrants grow the market by making access easier. | Create a new-market option. |
| Performance trajectory | Is the disruptive solution improving faster than incumbents expect? | “Not good enough” becomes “good enough.” | Track adoption thresholds and invest early. |
| Business model | Does the entrant monetise differently? | Entrant does not need incumbent margins. | Redesign pricing, bundling or cost-to-serve. |
| Channel conflict | Would the new model threaten existing channels? | Internal resistance slows response. | Use separate governance or a protected unit. |
| Capability inversion | Do old strengths become new weaknesses? | Legacy assets limit speed or cost flexibility. | Reconfigure capabilities and operating model. |
| Platform control | Could a platform own the customer interface or data? | Incumbent becomes a supplier behind the platform. | Build, partner or secure workflow control. |
Case sidebar: Kodak and the core trap
Kodak is a classic warning that the current core can become a trap when a disruptive technology changes the basis of value. The issue was not simply invention or technical awareness. The deeper strategic issue was whether leadership could migrate from a highly profitable legacy model into a digital future that threatened the economics of the old core. The practitioner lesson is that a vision must test whether the core should be protected, migrated or reinvented.
Case sidebar: Netflix and Blockbuster
Netflix and Blockbuster illustrate business-model disruption. The shift was not only from physical rental to digital streaming. It involved convenience, pricing, recommendation data, subscription economics and a different customer relationship. The practitioner lesson is that an incumbent may see the technology but still fail to respond because the disruptive model attacks the profit formula and operating routines of the core.
Practitioner note
Do not ask only whether the technology works. Ask whether it enables a different business model, cost structure, customer experience, data position or profit formula.
AI as a specific disruption lens
AI should be assessed as both a sustaining technology and a disruptive technology. It is sustaining when it improves current performance. It is disruptive when it changes:
- Who can compete.
- What customers can do for themselves.
- What expertise is scarce.
- How workflows are performed.
- Where value is captured.
- Which data assets matter.
- Which platforms control the customer interface.
- How decisions are made.
- How cost-to-serve changes.
- What trust and assurance customers require.
Exhibit 11
AI impact map
| Domain | Diagnostic question | Strategic implication |
|---|---|---|
| Customer need | Does AI change what customers can do, expect or value? | Redefine the customer need arena. |
| Product and service performance | Does AI improve speed, quality, personalisation or availability? | Strengthen or redesign the offer. |
| Cost-to-serve | Does AI materially lower delivery cost? | Open new segments or change pricing. |
| Expertise | Does AI commoditise routine expertise or amplify scarce judgement? | Move up the value curve. |
| Workflow | Does AI shift advantage from standalone products to embedded workflows? | Compete for workflow position. |
| Data | Does proprietary data become more valuable or less defensible? | Build data rights, quality and governance. |
| Channels | Does AI change discovery, sales, service or advice? | Redesign route to market. |
| Competition | Does AI allow smaller firms or customers to perform tasks previously done by incumbents? | Reassess barriers to entry. |
| Operating model | Does AI require new processes, roles and governance? | Redesign work, not just tools. |
| Trust | Does AI create new risks around accuracy, privacy, bias, accountability or security? | Build assurance as a capability. |
| Value capture | Does value move to model providers, data owners, platforms, integrators or trusted advisers? | Reposition in the ecosystem. |
Case sidebar: Klarna and AI-enabled cost-to-serve
Klarna’s customer-service AI assistant illustrates how AI can change service economics, availability and resolution speed. The practitioner lesson is not that customer service should be fully automated. It is that AI can change the cost and scalability assumptions behind service models, while also raising questions about quality, escalation, trust and the continuing role of human judgement.
Case sidebar: Morgan Stanley and AI-enabled expertise
Morgan Stanley’s wealth-management AI work illustrates a different AI pattern: augmenting expert advisers rather than replacing the advisory relationship. The practitioner lesson is that AI strategy should distinguish between automating work, augmenting professionals, improving decision quality and strengthening client experience.
Case sidebar: NVIDIA and capability-led core migration
NVIDIA illustrates how a deep technical capability can become more valuable as the market shifts. A capability originally associated with graphics and accelerated computing became central to AI infrastructure. The practitioner lesson is that core competence should be assessed not only against today’s market, but against future value-pool shifts.
Practitioner note
The correct AI question is not “What can we automate?” The correct strategic question is “Where does AI change customer value, cost-to-serve, expertise, workflow control or competitive advantage?”
Part Twelve
Phase 6 - Drivers, uncertainties and residual uncertainty
The purpose of Phase 6 is to distinguish what is predictable from what is uncertain, and to classify uncertainty so that the right strategic tools are used.
Key definitions
| Concept | Definition |
|---|---|
| Observable change | A fact or development already visible in the environment. |
| Trend | A change with enough evidence to treat as directionally predictable. |
| Driver of change | A cluster of related trends that materially shapes the future business environment. |
| Uncertainty | A variable that matters to the decision but cannot be forecast with adequate confidence. |
| Residual uncertainty | The uncertainty that remains after the best practical analysis has been completed. |
| Wild card | A low-probability, high-impact event considered for resilience planning. |
Four levels of residual uncertainty
| Level | Description | Appropriate tools | Strategic posture |
|---|---|---|---|
| Level 1: Clear enough future | A single view of the future is sufficiently reliable for the decision. | Forecasting, benchmarking, DCF, sensitivity analysis. | Commit where economics are attractive. |
| Level 2: Alternate futures | A limited set of discrete outcomes can be identified; one will occur. | Decision trees, game theory, contingent strategies, hedges. | Prepare for named outcomes. |
| Level 3: Range of futures | A bounded range can be estimated, but not a discrete exhaustive set. | Scenarios, Monte Carlo, real options, staged experiments. | Build robustness and option value. |
| Level 4: True ambiguity | The range of outcomes cannot yet be bounded reliably. | Probes, learning options, adaptive governance, shaping moves. | Create information and avoid premature lock-in unless shaping is essential. |
Exhibit 12
Residual uncertainty classifier
| Question | Level 1 | Level 2 | Level 3 | Level 4 |
|---|---|---|---|---|
| Can we forecast the key value driver? | Yes, sufficiently. | No, but outcomes are discrete. | No, but range can be bounded. | No reliable range. |
| Can we name the possible futures? | One dominant view. | Yes, limited and discrete. | Representative scenarios only. | Not reliably. |
| Can probabilities be assigned? | Often. | Sometimes. | Roughly or through simulation. | Usually not. |
| Does conventional planning work? | Mostly. | Partly. | Only with adaptation. | No. |
| Best commitment posture | Commit. | Contingent choices and hedges. | Options and staged commitments. | Probes, resilience and adaptive governance. |
Practitioner note
Most strategic uncertainty is not Level 4. Executives often overstate ambiguity when the harder task is to do the analysis required to move uncertainty from “unknowable” to “bounded enough to act.”
Part Thirteen
Phase 7 - Capability and asset advantage
The purpose of Phase 7 is to determine whether the organisation has, can build or can access the capabilities and assets required to pursue the future vision. Capabilities and assets are the bridge between ambition and feasibility.
Capability categories
| Category | Description |
|---|---|
| Table-stakes capabilities | Required to compete but not sufficient to differentiate. |
| Distinctive capabilities | Areas where the organisation performs better than competitors in ways that matter. |
| Strategic capabilities | Capabilities required to deliver the chosen future. |
| Dynamic capabilities | Ability to sense change, decide, reconfigure, learn and scale. |
| Capability gaps | Missing capabilities that constrain strategic ambition. |
| Capability liabilities | Legacy strengths that may become weaknesses under future conditions. |
Core competence tests
A capability becomes a core competence when it:
- Creates material customer value.
- Differentiates the organisation.
- Is difficult to imitate.
- Can be applied across multiple products, markets or businesses.
- Can support future growth pathways.
- Is reinforced by organisational learning.
AI-era capability questions
| Capability | AI-era diagnostic question |
|---|---|
| Data capability | Do we have the data rights, quality, architecture and governance to create advantage? |
| Workflow capability | Do we understand and control the workflows where AI can create value? |
| Model capability | Do we know where to build, buy, tune, integrate or govern models? |
| Product capability | Can we embed AI into customer-facing offerings? |
| Operating capability | Can we redesign processes around AI rather than add AI to existing work? |
| Talent capability | Can our people use AI to improve judgement, productivity and creativity? |
| Trust capability | Can we provide assurance, explainability, security and responsible use? |
| Learning capability | Can we capture feedback and improve continuously? |
Outputs
- Capability Advantage Map.
- Asset Leverage Map.
- To-Be Capability Model.
- Capability Gap Assessment.
- Build / Buy / Partner Recommendations.
- Dynamic Capability Diagnosis.
- Core Competence Development Agenda.
Exhibit 13
Capability-to-growth pathway map
| Growth pathway | Capability requirement | Capability risk |
|---|---|---|
| Core intensification | Operational excellence, pricing, sales force effectiveness, customer insight. | Overestimating maturity of existing capabilities. |
| Core extension | Transferable customer, channel, product or geographic capabilities. | Assuming capabilities travel when context changes. |
| Core migration | Ability to reconfigure business model, channels, economics and talent. | Legacy incentives protect the old model. |
| Core reinvention | Hidden asset conversion, new capabilities, cultural flexibility. | New core lacks governance and patience. |
| New venture options | Experimentation, fast learning, option governance. | Options become unfunded hobbies or uncontrolled bets. |
Practitioner note
Capabilities should be assessed comparatively. A capability is not distinctive because the organisation is proud of it. It is distinctive when it matters to customers, beats competitors and can be converted into value.