Part Fourteen
Phase 8 - Opportunity portfolio
The purpose of Phase 8 is to convert customer needs, future drivers, disruption insights, core advantage, capabilities and uncertainty into a structured portfolio of strategic opportunities.
Opportunity generation lenses
| Lens | Question |
|---|---|
| Customer need expansion | What broader need could we serve? |
| Core intensification | How can we extract more value from the current core? |
| Core extension | Which adjacent moves are closest to our current advantage? |
| Core migration | How can we follow the customer need as products, channels or economics change? |
| Core reinvention | Which hidden assets could become the basis of a new core? |
| Disruptive response | Which disruptive threats should we defend, copy, partner with or self-disrupt against? |
| AI-enabled opportunity | Where can AI change productivity, product, service, decision quality or business model? |
| Value-chain repositioning | Should we move upstream, downstream, deeper, lighter or across the ecosystem? |
| Platform or ecosystem role | Can we orchestrate, standardise, aggregate, enable or control a system? |
| Defensive resilience | What must we do to protect the core? |
| Option creation | What should we test before committing? |
Growth pathways
| Pathway | Description |
|---|---|
| Core intensification | Growing or improving the existing core. |
| Core extension | Moving into close adjacencies. |
| Core migration | Shifting the business as the customer need changes. |
| Core reinvention | Redefining the core around hidden assets or new economics. |
| New venture options | Controlled bets beyond the current core. |
Exhibit 14
Adjacency distance map
| Dimension | Close | Medium | Distant |
|---|---|---|---|
| Customer | Existing customer | Related customer | New customer with unfamiliar needs |
| Product | Current or related offer | New offer using known capabilities | New offer requiring new capabilities |
| Channel | Existing route | Related route | New route to market |
| Geography | Known market | Similar market | Unfamiliar market |
| Value chain | Current role | Adjacent role | New role |
| Capability | Existing capability | Extendable capability | Capability gap |
| Brand permission | Clear | Stretch but plausible | Unclear |
| Economics | Familiar | Partly familiar | New margin, risk or capital model |
Practitioner note
Distant moves are not automatically wrong. They require stronger evidence, more explicit options, better governance and clearer right-to-win logic.
Exhibit 15
Opportunity scorecard
| Criterion | Question |
|---|---|
| Customer relevance | Does it solve a material customer need? |
| Value pool | Is there attractive revenue, margin, cash flow or strategic control? |
| Right to win | Why should this organisation win? |
| Core fit | Does it strengthen, extend, migrate or reinvent the core? |
| Capability fit | Can we deliver it? |
| Asset leverage | Which existing or hidden assets does it use? |
| Disruption relevance | Does it address or exploit a disruptive shift? |
| AI leverage | Does AI change its economics, scalability or value proposition? |
| Uncertainty | What level of uncertainty applies? |
| Optionality | Can we stage, test or scale? |
| Competitive response | How might competitors respond? |
| Time to value | When will it matter? |
| Strategic importance | Does it change the future of the business? |
Case sidebar: Adobe and business-model migration
Adobe’s move from packaged software to Creative Cloud subscriptions illustrates a core migration rather than simple product extension. The customer need remained creative production, but the business model, revenue recognition, product delivery and customer relationship changed. The practitioner lesson is that a vision must sometimes redefine how value is delivered and monetised, not merely what product is sold.
Part Fifteen
Phase 9 - Scenario and signpost architecture
The purpose of Phase 9 is to test strategic options against plausible futures and build a monitoring system that helps leadership adapt as the future unfolds. Scenarios are used to improve choices, not predict the future.
Scenario design principles
Good scenarios are:
- Relevant to the strategic decision.
- Distinct from one another.
- Internally consistent.
- Plausible but challenging.
- Linked to economic and competitive implications.
- Capable of generating strategic insight.
- Supported by signposts and contra-indicators.
Scenario contents
Each scenario should include:
- Scenario name.
- Summary narrative.
- Customer behaviour.
- Demand and value-pool implications.
- Technology and AI implications.
- Competitor and ecosystem implications.
- Regulatory and macroeconomic assumptions.
- Implications for the current core.
- Implications for adjacencies.
- Implications for hidden assets.
- Winners and losers.
- Required capabilities.
- Leadership strategies.
- Survival strategies.
- Economic parameters.
- Leading indicators.
- Contra-indicators.
Exhibit 16: Scenario testing matrix
| Strategic option | Scenario A | Scenario B | Scenario C | Scenario D | Implication |
|---|---|---|---|---|---|
| Core intensification | Strong | Moderate | Weak | Strong | No-regrets with targeted adaptation. |
| AI productivity programme | Strong | Strong | Strong | Moderate | No-regrets; start immediately. |
| New-market entry | Strong | Weak | Moderate | Weak | Real option, not big bet. |
| Platform investment | Moderate | Strong | Strong | Weak | Stage investment and monitor signposts. |
| Legacy capacity expansion | Strong | Weak | Weak | Weak | Avoid or hedge. |
| Non-core divestment | Strong | Strong | Moderate | Strong | Proceed unless near-term value is impaired. |
Practitioner note
The most valuable scenario output is often the list of no-regrets moves and the list of commitments that should not yet be made.
Signpost system
A signpost is an observable indicator that a particular future may be emerging. Examples include:
- Customer adoption rates.
- Price movements.
- Margin compression.
- Competitor entry.
- Regulatory action.
- Technology cost curves.
- AI capability benchmarks.
- Capital flows.
- Talent market shifts.
- Channel behaviour.
- Supplier constraints.
- Platform adoption.
- Public sentiment.
- Productivity measures.
- Investment announcements.
- M&A activity.
A contra-indicator is a signal that a scenario or assumption is becoming less likely.
Exhibit 17
Signpost design
| Assumption | Signpost | Trigger | Response |
|---|---|---|---|
| AI will reduce cost-to-serve by at least 20%. | Cost per resolved customer interaction. | Three-month moving average below threshold. | Scale AI service model. |
| Customers will accept self-service for routine advice. | Digital completion rate and satisfaction. | Adoption exceeds target without satisfaction decline. | Shift routine journeys to self-service. |
| Premium customers still value human advisory judgement. | Retention and willingness to pay. | Premium segment retention remains high. | Position human expertise as premium layer. |
| Entrants will target low-margin segments first. | New entrant customer acquisition in low-end segment. | Entrant reaches defined market share. | Launch defensive low-cost offer. |
| Regulation will tighten AI governance. | Draft legislation or enforcement action. | Regulatory milestone reached. | Accelerate compliance and assurance capability. |
Practitioner note
A signpost without a trigger is just a metric. A signpost becomes strategic when leadership agrees in advance what action will follow.
Part Sixteen
Phase 10 - Straw-model visions
The purpose of Phase 10 is to convert the opportunity portfolio into alternative coherent futures the organisation could choose to build. A straw-model vision is a structured strategic option, not a slogan.
Types of straw-model vision
| Vision type | Description |
|---|---|
| Core Leader Vision | Win by deepening, sharpening and scaling the existing core. |
| Customer Need Expansion Vision | Redefine the business around a broader customer need. |
| Adjacency Platform Vision | Use the core as a repeatable platform for related growth moves. |
| Core Reinvention Vision | Build a new core around hidden assets, new economics or a new customer problem. |
| AI-Enabled Transformation Vision | Use AI to reshape productivity, customer experience, decision systems or business model. |
| Ecosystem Shaper Vision | Shape standards, platforms, data flows, access, supply, demand or industry structure. |
| Resilient Adapter Vision | Build flexibility, speed and learning capacity to adapt as the market changes. |
| Portfolio Options Vision | Create a managed portfolio of options under high uncertainty. |
Straw-model vision structure
Each straw-model vision should include:
- Vision hypothesis.
- Customer need arena.
- Strategic intent.
- Core logic.
- Growth pathway.
- Where-to-play choices.
- How-to-win logic.
- Capability system.
- AI and disruption posture.
- Economic logic.
- Commitment profile.
- Uncertainty diagnosis.
- Scenario robustness.
- Risks and failure modes.
- Signposts.
- Mobilisation implications.
Exhibit 18
Straw-model vision template
| Element | Required content |
|---|---|
| Vision hypothesis | The future state the organisation would build. |
| Customer arena | The customer need or outcome served. |
| Core logic | How the vision uses, extends, migrates or reinvents the core. |
| Growth route | Core intensification, extension, migration, reinvention or options. |
| Strategic intent | The stretch position the organisation intends to occupy. |
| Competitive position | How the organisation will win. |
| Capability system | Required capabilities and assets. |
| AI role | Productivity, product enhancement, business-model shift or reinvention platform. |
| Commitment portfolio | No-regrets moves, big bets, options, hedges, insurance and exits. |
| Economics | Value pools, revenue, margin, capital, productivity and risk. |
| Scenario robustness | How the option performs under plausible futures. |
| Signposts | Indicators that will guide adaptation. |
Practitioner note
The leadership team should not be asked to choose between slogans. It should be asked to choose between coherent strategic futures.
Part Seventeen
Phase 11 - Commitment portfolio and economic logic
The purpose of Phase 11 is to define what the organisation should do now, later, conditionally or not at all. This is where vision becomes investment discipline.
Commitment types
No-regrets moves
No-regrets moves are beneficial across most plausible futures. Examples:
- Improve customer insight.
- Strengthen data infrastructure.
- Remove structural cost.
- Build critical leadership capability.
- Simplify the portfolio.
- Improve decision speed.
- Strengthen cybersecurity and resilience.
- Upgrade pricing, mix and margin management.
- Build AI literacy and governance.
- Improve core systems.
Big bets
Big bets are large, hard-to-reverse commitments to a chosen direction. Examples:
- Major acquisition.
- New platform.
- New market entry.
- Major capacity build.
- Full business-model migration.
- Scale launch of a new offer.
- Organisational restructuring.
Real options
Real options are limited commitments that create the right, but not the obligation, to scale later. Examples:
- Pilot programme.
- Minority investment.
- Joint venture.
- Test market.
- Prototype.
- Licence.
- Partnership.
- Data-sharing arrangement.
- Small acquisition.
- Capability incubator.
Hedges
Hedges protect against specific alternate futures. Examples:
- Dual technology paths.
- Multi-channel strategy.
- Flexible sourcing.
- Alternative supply agreements.
- Parallel regulatory strategies.
- Multiple model architectures.
- Geographic diversification.
Insurance
Insurance moves protect against adverse futures. Examples:
- Exit clauses.
- Balance-sheet flexibility.
- Cyber resilience.
- Regulatory readiness.
- Contract flexibility.
- Supplier redundancy.
- Talent succession.
- Brand trust protection.
Exits
Exit moves release resources from areas with weak future relevance. Examples:
- Divesting non-core assets.
- Closing subscale businesses.
- Outsourcing non-strategic activities.
- Simplifying product lines.
- Reducing geographic complexity.
- Exiting unattractive customers.
- Retiring obsolete systems.
- Stopping low-value initiatives.
Economic logic
Each major commitment should have a quantified economic case. This may include:
- Revenue pool.
- Margin pool.
- Cost-to-serve.
- Capital required.
- Cash flow timing.
- Productivity impact.
- Price and mix effect.
- Customer lifetime value.
- Market share potential.
- Option value.
- Risk exposure.
- Scenario outcomes.
- Break-even conditions.
- Kill criteria.
- Scaling triggers.
Exhibit 19: Commitment decision rules
| Situation | Preferred posture |
|---|---|
| Low uncertainty, attractive economics | Commit. |
| High uncertainty, low cost of learning | Create options. |
| High uncertainty, high pre-emption risk | Consider selective big bet or staged commitment. |
| Discrete alternate outcomes | Hedge or prepare contingent moves. |
| Severe downside risk | Insure or avoid. |
| Weak core fit and low right to win | Do not pursue. |
| Eroding core with hidden assets | Reinvent through staged commitments. |
| Attractive adjacency with transferable capability | Build repeatable expansion model. |
| Disruptive threat to core | Defend, self-disrupt, hedge or migrate. |
| AI changes cost-to-serve materially | Redesign the operating model, not only the toolset. |
Practitioner note
The most common commitment error is treating every attractive opportunity as a big bet. The second most common error is treating every uncertain opportunity as a reason to wait. Quantified Vision™ avoids both by matching commitment type to uncertainty, value and right to win.
Part Eighteen
Phase 12 - Final vision architecture
The purpose of Phase 12 is to convert the chosen strategic future into a clear, usable vision architecture. The final vision should be concise enough to communicate and detailed enough to manage.
The vision architecture
1. Vision statement
A short, memorable expression of the future the organisation intends to build.
2. Customer Need Arena
A clear statement of the customer need or outcome that defines the future business.
3. Core definition
A precise statement of the economic and strategic core from which the organisation will build.
4. Strategic intent
The stretch position the organisation intends to occupy.
5. Where-to-play choices
The customers, markets, geographies, channels, products, services and value-chain positions the organisation will prioritise.
6. How-to-win choices
The advantage mechanisms the organisation will use. Examples:
- Superior economics.
- Customer trust.
- Proprietary data.
- Speed.
- Scale.
- Expertise.
- Integration.
- Platform control.
- Ecosystem orchestration.
- Brand authority.
- Cost position.
- Innovation.
- Operational excellence.
7. Governing objectives
Five to eight decision rules that guide resource allocation.
8. Capability commitments
The capabilities the organisation must build, buy, borrow or protect.
9. Asset agenda
The strategic assets to leverage, strengthen, monetise, protect or reinvent around.
10. Commitment portfolio
The no-regrets moves, big bets, options, hedges, insurance moves and exits that make the vision actionable.
11. Signpost system
The indicators that will be monitored to test whether the vision remains valid.
12. Mobilisation roadmap
The initiatives, owners, milestones, metrics and governance required to deliver.
Exhibit 20: Governing objective examples
| Governing objective | Decision rule |
|---|---|
| Customer priority | Prioritise customers where we can create measurable economic advantage through distinctive capabilities. |
| Core discipline | Fund adjacencies only where at least two core assets or capabilities are transferable. |
| AI discipline | Use AI first where it changes customer value, cost-to-serve, decision quality or scalability. |
| Option discipline | Treat uncertain growth platforms as staged options until adoption, unit economics and capability requirements are proven. |
| Portfolio discipline | Exit activities that do not strengthen the core, create strategic options or provide necessary resilience. |
| Capability discipline | Allocate capital to capabilities that support multiple strategic pathways. |
| Partnership discipline | Use partners where they accelerate market access or capability formation without surrendering strategic control. |
| Signpost discipline | Review strategic signposts quarterly and adjust commitments when assumptions change. |
Practitioner note
A governing objective should be useful in a budget meeting. If it does not help management decide what to fund, stop, delay or scale, it is too vague.
Part Nineteen
Phase 13 - Vision-to-Strategy Translation
The purpose of Phase 13 is to ensure that the chosen vision provides clear direction for the strategy work that follows. Vision is the strategic north star. Strategy is the choice system. Quantified Vision™ therefore creates an explicit handoff into corporate strategy, business-unit strategy, competitive strategy, functional strategy and operating model design.
The vision architecture
1. Vision statement
A short, memorable expression of the future the organisation intends to build.
2. Customer Need Arena
A clear statement of the customer need or outcome that defines the future business.
3. Core definition
A precise statement of the economic and strategic core from which the organisation will build.
4. Strategic intent
The stretch position the organisation intends to occupy.
5. Where-to-play choices
The customers, markets, geographies, channels, products, services and value-chain positions the organisation will prioritise.
6. How-to-win choices
The advantage mechanisms the organisation will use. Examples:
- Superior economics.
- Customer trust.
- Proprietary data.
- Speed.
- Scale.
- Expertise.
- Integration.
- Platform control.
- Ecosystem orchestration.
- Brand authority.
- Cost position.
- Innovation.
- Operational excellence.
7. Governing objectives
Five to eight decision rules that guide resource allocation.
8. Capability commitments
The capabilities the organisation must build, buy, borrow or protect.
9. Asset agenda
The strategic assets to leverage, strengthen, monetise, protect or reinvent around.
10. Commitment portfolio
The no-regrets moves, big bets, options, hedges, insurance moves and exits that make the vision actionable.
11. Signpost system
The indicators that will be monitored to test whether the vision remains valid.
12. Mobilisation roadmap
The initiatives, owners, milestones, metrics and governance required to deliver.
Exhibit 21
Vision-to-Strategy Bridge
| Vision output | Strategy question that follows | Strategy cue |
|---|---|---|
| Customer Need Arena | Which markets and customer segments should we compete in? | Market definition and segmentation. |
| Core definition | Where do we have a right to win? | Core competence and core-growth logic. |
| Strategic intent | What ambition will stretch the organisation? | Strategic intent. |
| Growth pathway | How should we grow? | Ansoff growth routes and adjacency logic. |
| Competitive arena | How attractive is the industry or segment? | Industry structure and ecosystem analysis. |
| How-to-win logic | What position should we occupy? | Competitive positioning. |
| Capability agenda | What must we do distinctively well? | Core competence and activity systems. |
| Value-chain role | Where should we play in the system? | Value-chain design and ecosystem strategy. |
| Commitment portfolio | What should we do now, later, conditionally or never? | Strategy under uncertainty and real options. |
| Scenario signposts | How should strategy adapt over time? | Scenario planning and contingent strategy. |
| Mobilisation roadmap | How will strategy be executed? | Operating model, scorecard and transformation roadmap. |
Ansoff as growth-route translation
Ansoff logic helps translate vision into growth direction.
| Growth route | Quantified Vision™ pathway | Strategic meaning |
|---|---|---|
| Market penetration | Core intensification | Grow share, usage, price, mix, retention or productivity in the current core. |
| Market development | Core extension | Take existing capabilities or offers into new segments, channels or geographies. |
| Product development | Core extension or migration | Create new offers for existing or related customers. |
| Diversification | Core reinvention or new venture options | Move into new products and new markets, ideally through hidden assets, options or a new core logic. |
Practitioner note
Ansoff should not be used as a generic growth brainstorm. Use it after customer need, core, capability and uncertainty work. Otherwise it encourages unfocused diversification.
Porter as competitive strategy translation
The vision defines where the organisation intends to matter. Competitive strategy defines how it will win. The strategy that follows should answer:
- How attractive is the competitive arena?
- Who are the real competitors and substitutes?
- Where is bargaining power shifting?
- What barriers to entry are rising or falling?
- Where are profit pools moving?
- What position will the organisation occupy?
- What will the organisation do differently?
- What trade-offs will it make?
- Which activities must fit together?
- Which activities should be stopped, outsourced, automated or redesigned?
- Where does AI alter the value chain or activity system?
Exhibit 22
Porter-style strategy handoff
| Strategy component | Quantified Vision™ input | Required strategy work |
|---|---|---|
| Industry structure | Customer arena, value pools, disruption analysis. | Assess rivalry, entry, substitutes, buyer power and supplier power. |
| Positioning | Strategic intent and how-to-win logic. | Define cost, differentiation, focus or hybrid ecosystem position. |
| Value chain | Core, capabilities, AI impact and operating model. | Decide which activities to own, partner, automate, integrate or exit. |
| Trade-offs | Governing objectives and commitment portfolio. | Define what the organisation will not do. |
| Activity fit | Capability system and mobilisation roadmap. | Design reinforcing activities that competitors struggle to imitate. |
Case sidebar: Southwest and IKEA as activity-system examples
Southwest and IKEA are enduring examples of strategic fit. Their strategies are not single decisions. They are systems of mutually reinforcing choices. The practitioner lesson is that a vision must eventually become an activity system: customers, proposition, cost model, assets, processes, culture and trade-offs must reinforce one another.
Practitioner note
A strategy without trade-offs is usually a wish list. The vision-to-strategy bridge should force the organisation to say what it will not do.
Part Twenty
Phase 14 - Mobilisation and strategic management system
The purpose of Phase 14 is to turn the vision into action, governance and results. A vision should not sit outside the management system. It should shape planning, capital allocation, performance management, talent, communication, innovation and portfolio review.
Mobilisation elements
| Element | Purpose |
|---|---|
| Transformation roadmap | Converts the vision into sequenced initiatives. |
| Governance model | Defines decision rights, cadence and escalation. |
| Scorecard | Tracks progress against financial, customer, capability and execution metrics. |
| OKRs or performance goals | Translates governing objectives into team-level priorities. |
| Investment gates | Controls funding for options, pilots and big bets. |
| Signpost reviews | Tracks whether assumptions and scenarios are changing. |
| Capability-building plan | Builds the skills, systems and routines required. |
| Communication architecture | Aligns board, executives, managers, employees and external stakeholders. |
| Leadership routines | Ensures the top team keeps making the required trade-offs. |
| Benefits tracking | Links activity to measurable results. |
Roadmap horizons
| Horizon | Focus |
|---|---|
| First 90 days | Mobilise leadership, launch no-regrets moves, define governance, confirm metrics and start priority workstreams. |
| 12 months | Build priority capabilities, run options and pilots, execute core intensification and establish signpost cadence. |
| 2–3 years | Scale proven adjacencies, commit to selected big bets, reshape operating model and embed new performance routines. |
| 3–5+ years | Complete core migration or reinvention, build durable advantage and refresh the vision as signposts evolve. |
Scorecard dimensions
| Dimension | Example metrics |
|---|---|
| Financial | Revenue growth, margin, return on capital, cash generation, cost-to-serve, productivity. |
| Customer | Retention, share of wallet, satisfaction, adoption, lifetime value, need-state penetration. |
| Market | Share, value-pool capture, channel position, competitor displacement, ecosystem role. |
| Capability | Capability maturity, talent depth, system readiness, data quality, decision speed. |
| Portfolio | Core growth, adjacency performance, option conversion, exit delivery, capital reallocation. |
| Innovation | Experiment velocity, learning milestones, pilot success, time to scale. |
| Risk and resilience | Scenario exposure, insurance readiness, regulatory readiness, cyber and supply resilience. |
| Mobilisation | Leadership alignment, initiative delivery, communication reach, behaviour change. |
Exhibit 23
Strategic management cadence
| Cadence | Meeting | Purpose |
|---|---|---|
| Monthly | Initiative review | Track execution and remove barriers. |
| Quarterly | Signpost and portfolio review | Assess whether assumptions are changing and whether commitments should be scaled, stopped or redesigned. |
| Semi-annual | Capability review | Assess progress against the capability agenda. |
| Annual | Vision refresh | Update the foresight base, scenarios, commitment portfolio and strategic priorities. |
Practitioner note
A vision is only fully implemented when it changes the calendar of the top team.