Case Study

Chapter 1: The Five Domains of Digital Transformation: Customers, Competition, Data, Innovation, Value

This chapter introduces the five domains of digital transformation: customers, competition, data, innovation, and value. It explains how digital technologies are changing strategic assumptions in each domain, from mass-market customers to networked ones, from linear competition to fluid industries, from data as a cost to an asset, from intuition-based innovation to rapid experimentation, and from static value propositions to evolving ones. The chapter presents the digital transformation playbook as a framework for rethinking business strategy.

No tools in this chapter.

Mini Case: GlobalTech Corp. – Adapting to Digital Shifts
GlobalTech Corp. is a traditional electronics manufacturer facing declining sales due to digital disruptions. Their products are outdated, competition is fierce from online platforms, and customer behaviors have shifted to digital networks. The CEO needs a holistic strategy to transform the business across all domains.

Solution Using Chapter 1 Framework:
Apply the five domains to rethink strategy

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· Customers: Shift from mass-market to networked customers by building engagement platforms

· Competition: Move from linear to fluid competition by exploring platform models

· Data: Treat data as an asset for insights and personalization

· Innovation: Adopt rapid experimentation for new products

· Value: Evolve value propositions to meet changing needs.

· Overall recommendation: Conduct a self-assessment (from the book’s conclusion) to prioritize domains. Implement changes incrementally, starting with customer networks to drive growth

Chapter 2: Harness Customer Networks

This chapter explores how customers have shifted from passive mass-market actors to dynamic networks. It covers the customer network paradigm, the marketing funnel and path to purchase, and five core behaviors (access, engage, customize, connect, collaborate). Businesses must rethink relationships to co-create value.

Tool: Customer Network Strategy Generator
It is designed to help you develop new strategic ideas for engaging and creating value with networked customers. It does this by linking your own business objectives to the core behaviors of customer networks that we have examined in this chapter. It can be used to generate new marketing communications and customer experiences as well as new product and service innovations

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· 5 Steps:

Step 1: Objective Setting – Define the objectives you hope to achieve for your business with any new customer strategy you develop (direct objectives and higher-order objectives).

· Step 2: Customer Selection and Focusing – Get a clear picture of customers that you are seeking to address – qualify each customer segment (unique objectives, value propositions, barriers to success).

Step 3: Strategy Selection – Derive strategies from the 5 core customer network behaviors (access, engage, customize, connect, collaborate).

· Step 4: Concept Generation – A specific, concrete idea for a product, service, communication, experience, or interaction (questions for each strategy).

· Step 5: Defining Impact – Bring each of your ideas back to the business objectives you set for yourself in step 1 (how to know if objectives are achieved, measurement).

Mini Case: FitLife App – Boosting User Engagement
FitLife is a fitness tracking app with 10,000 users but low retention (only 20% active monthly). Users are not networked; they use the app individually. The company wants to increase engagement and loyalty through customer networks.

Solution Using Customer Network Strategy Generator:

Step 1: Objective Setting: Direct objectives – Increase monthly active users by 40% and retention by 30%. Higher-order objectives – Build a community for data sharing and partnerships.

Step 2: Customer Selection and Focusing: Target casual users (unique objective: motivation; value proposition: easy tracking; barriers: lack of social features). Target fitness enthusiasts (unique objective: competition; value proposition: challenges; barriers: isolation).

· Step 3: Strategy Selection: Access (easier app use), Engage (motivational content), Connect (social sharing).

Step 4: Concept Generation: Access – Add voice commands for hands-free logging. Engage – Weekly video tips from trainers. Connect – Leaderboards and friend challenges.

· Step 5: Defining Impact: Measure user growth and retention via app analytics; if engagement rises, objectives met through advocacy.

Chapter 3: Build Platforms, Not Just Products

This chapter examines the rise of platform business models, where businesses facilitate interactions between distinct customer types. It covers types of platforms (exchanges, transaction systems, ad-supported media, standards), network effects, the platform spectrum, and competitive benefits. Digital technologies enable frictionless growth.

Tools: Platform Business Model Map and Competitive Value Train

· Platform Business Model Map: The Model Map to answer these important questions: Whom do you need to bring on board to make your platform work? How will you monetize? Who are your most important customers? (These are likely both the primary payer and the linchpin.) Is your business model in balance? Does each party receive enough value to attract its participation? Does each party contribute enough value to justify its inclusion?

· Chart Setup: Fill out a chart with seven questions (distinct customer types, value received/provided, value to/from platform, attraction, profiles like linchpin, payer, primary payer, sweetener).

· Map Drawing: 5 steps (names, shapes, attraction, value received, value provided).

· Shapes and Arrows: Circle for platform, diamonds for payers, squares for sweeteners, spikes for attraction, arrows for value exchange (bold for monetary, parentheses for platform value).

· Competitive Value Train: It helps analyze competition and leverage between a firm and its business partners, direct rivals, and asymmetric competitors in a supply chain, and their potential substitutes, by mapping how a particular product or service reaches a particular group of customers

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· Step 1: Start with a horizontal train jumping over its current partners or firms leading to a final consumer on the right (originator, producer, distributor).

· Step 2: Add competitors (symmetric below each car, asymmetric above).

· Two Rules of Power: Principle 1: Power to the unique value creator. Principle 2: Power to the ends.

· Uses: Clarify key dynamics, predict moves, analyze disintermediation/shifts.

Mini Case: RideShare Co. – Expanding a Ride-Hailing Platform
RideShare Co. is a ride-hailing platform connecting drivers and riders, but faces competition from taxis and new entrants. They want to analyze their platform model and competitive position to grow.

Solution Using Tools:

· Platform Business Model Map:

Chart Setup: Distinct types – Riders (payers), Drivers (sweeteners). Value received – Riders get rides (monetary to drivers); Drivers get fares (monetary from riders). Attraction – Riders attract drivers (2 spikes); Drivers attract riders (2 spikes). Profiles – Riders as primary payer; Drivers as sweetener

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· Map Drawing: Platform center (circle). Riders right (diamond). Drivers left (square). Spikes and arrows show balanced exchange.

· Analysis: Model is balanced; add advertisers for promotions to boost indirect effects.

· Competitive Value Train

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· Step 1: Train – Originator (app developers), Producer (RideShare), Distributor (drivers to riders).

· Step 2: Symmetric competitors below (other ride-hailers); Asymmetric above (taxis, public transit).

· Analysis: Power at ends (drivers/riders); predict disintermediation by taxis; shift to unique features like eco-rides.

Chapter 4: Turn Data Into Assets

This chapter discusses data as an intangible asset, gathering diverse data types, predictive use, innovation, behavioral focus, and combining silos. It covers big data trends (unstructured data, capabilities, cloud) and myths. Sources include customer exchanges, partners, public data, and purchases.

Tool: Data Value Generator
Step 1: Define area of impact (specific business unit, division, or new venture). Step 2: Value Template Selection (Insights, Targeting, Personalization, Context). Step 3: Concept Generation – Ideate specific ways that data could deliver more value to your customers and your business. Step 4: Data Audit – Assemble the required data for the selected strategy (survey existing data, identify gaps, ways to fill them). Step 5: Execution plan – Put the strategy to use in the work of your organization (technical issues, business processes, testing, sharing learning).

Mini Case: RetailChain – Improving Customer Insights
RetailChain has sales data but struggles with personalization. They want to use data for better targeting and insights to boost sales.

Solution Using Data Value Generator:

· Step 1: Define Area of Impact: Focus on online sales division for personalization.

· Step 2: Value Template Selection: Targeting and Personalization.

· Step 3: Concept Generation: Use purchase history for product recommendations; send personalized e-mails.

· Step 4: Data Audit: Existing – Transaction logs. Gaps – Behavioral data (e.g., browsing). Fill via partnerships with analytics firms.

· Step 5: Execution Plan: Integrate via cloud tools; test A/B e-mails; measure conversion rates.

Chapter 5: Innovate by Rapid Experimentation

This chapter covers innovation shifts from intuition to learning via experimentation. It explains convergent (for optimization) and divergent (for exploration) experiments, seven principles, and scaling paths.

Tools: Convergent Experimental Method and Divergent Experimental Method

· Convergent Experimental Method: This experimental method is particularly useful for innovating on existing products, services, and processes; for optimizing and continually improving them; and for comparing versions in the later stages of an innovation process.

· Step 1: Define the question you are seeking to answer (causal, specific).

· Step 2: Select who will conduct the experiment.

· Step 3: Randomize Your Test and Control (population, assign groups).

· Step 4: Validate Your Sample (statistically valid size).

· Step 5: Test and Analyze (run test, measure differences).

· Step 6: Decide (based on findings).

· Step 7: Share Learning.

· Divergent Experimental Method: This method is particularly useful for innovations that are less defined from the outset, such as new products, services, and business processes for your organization.

· Step 1: Define the problem (rooted in customer need, quantified goal, limits).

· Step 2: Set Limits (time, money, scope).

· Step 3: Pick Your People (small team, diversity).

· Step 4: Observe (deepen understanding, broaden ideas).

· Step 5: Generate More than One Solution.

· Step 6: Build an MVP (minimum viable prototype).

· Step 7: Field Test (validate assumptions).

· Step 8: Decide (proceed, pivot, prepare to launch, pull plug).

· Step 9: Scale Up (translate to full release).

· Step 10: Share Learning.

Mini Case: FoodApp – Testing New Features
FoodApp delivers meals but wants to innovate with a subscription model. They need to experiment to validate ideas.

Solution Using Tools:

· Convergent Experimental Method:

· Step 1: Question – Does a discounted subscription increase orders by 20%?

· Step 2: Conduct by marketing team.

· Step 3: Randomize 1,000 users into test (subscription offer) and control group

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· Step 4: Sample size valid (n=500 each).

· Step 5: Test; analyze order increases.

· Step 6: If positive, launch.

· Step 7: Share results internally.

· Divergent Experimental Method:

· Step 1: Problem – Improve meal customization for health-focused users.

· Step 2: Limits – 3 months, $50K.

· Step 3: Small diverse team.

· Step 4: Observe user feedback.

· Step 5: Generate ideas (e.g., nutrition tracking).

· Step 6: Build MVP app feature.

· Step 7: Field test with 100 users.

· Step 8: Proceed if validated.

· Step 9: Scale to full app.

· Step 10: Share learnings.

Chapter 6: Adapt Your Value Proposition

This chapter discusses adapting value propositions as customer needs change. It covers concepts of market value, routes out of decline, and the roadmap tool.

Tool: Value Proposition Roadmap

1. Define key customer types based on the value received

. 2. Define the value received by each customer, by considering the types of jobs they want to get done and the specific value elements (or valued benefits) that they get from your business. Consolidate these into an overall value proposition for each customer group

. 3. Identify emerging threats (new tech/substitutes, changing customer needs, new competitors and substitutes) that could undermine your existing value

. 4. Assess the strength of each existing value element. Consider how each one could increase/decrease in value to the customer, and if overall it’s strong, challenged or disrupted

. 5. Identify new value elements that you could offer

. 6. Organize all the value elements into 4 columns: (i) core elements to build on, (ii) weakened elements to strengthen, (iii) disrupted elements to deprioritize, (iv) new elements to create. Then develop an overall new value propositions for each customer type.

Mini Case: BookStore Inc. – Evolving in the Digital Age
BookStore Inc. sells physical books but faces e-book competition. They need to adapt their value proposition.

Solution Using Value Proposition Roadmap:

· Step 1: Key types – Casual readers, Avid collectors.

· Step 2: Value – Casual: Convenience; Avid: Rarity/experience.

· Step 3: Threats – E-books, online retailers.

· Step 4: Assess – Core: Community events (strong); Weakened: Physical selection (challenged).

· Step 5: New elements – Digital subscriptions.

· Step 6: Organize – Build on community; Strengthen selection via partnerships; Deprioritize outdated inventory; Create digital access. New propositions: “Hybrid reading experience” for both.

Chapter 7: Mastering Disruptive Business Models

This chapter covers disruption theories, variables, and tools for assessment and response

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Tools: Disruptive Business Model Map and Disruptive Response Planner

· Disruptive Business Model Map: A strategy-mapping tool to help you assess if a new challenger is potentially disruptive

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· Step 1: Define the challenger (key offerings, unique aspects).

· Step 2: Define the incumbent(s).

· Step 3: Define the target customer(s) of the challenger

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· Step 4: Assess the value proposition differential (value offered by challenger vs. incumbent, differences).

· Step 5: Assess the value network differential (enabling elements, differences, barriers).

· Step 6: 2-part Test (huge value proposition differential? Huge value network differential creating barrier?).

· Disruptive Response Planner: To map out your options to a potential disrupter.

· Step 1: Identify how the disrupter is likely to enter the market (outside-in or inside-out).

· Step 2: Disruptive scope (use cases, customer segments, network effects).

· Step 3: Other incumbents (industries affected, responses).

· Step 4: Six Incumbent Responses to Disruption (becoming the disrupter, mitigate losses, plan for fast exit).

Mini Case: TaxiCo – Responding to Ride-Hailing Disruption
TaxiCo faces disruption from a new ride-hailing app. They need to assess and plan a response.

Solution Using Tools:

· Disruptive Business Model Map:

· Step 1: Challenger – Ride-hailing app (on-demand, cheaper rides).

· Step 2: Incumbent – TaxiCo.

· Step 3: Target customers – Urban commuters.

· Step 4: Differential – Challenger offers convenience vs. TaxiCo’s hail-based service.

· Step 5: Network – Challenger uses apps/drivers; barrier for TaxiCo to replicate.

· Step 6: Test – Huge differentials; disruptive threat.

· Disruptive Response Planner:

· Step 1: Inside-out entry (targeting TaxiCo’s customers).

· Step 2: Scope – High for urban users; network effects amplify.

· Step 3: Other incumbents – Public transit affected.

· Step 4: Response – Become the disrupter by launching own app; mitigate losses by targeting loyal customers.