Digital Opportunity Recognition and Entrepreneurial Innovation

Introduction

Digital entrepreneurship begins with a disciplined search for opportunities rather than with technology alone. A mobile application, artificial-intelligence system, online marketplace, or digital payment service becomes entrepreneurial only when it creates meaningful value for identifiable users and can be delivered through a viable business model. Opportunity recognition therefore involves discovering, interpreting, evaluating, and shaping possibilities for new products, services, processes, or business models.

Digital markets create unusually favourable conditions for opportunity development. Information can be copied and distributed at low marginal cost; customers can be reached across geographic boundaries; platforms can connect previously separated groups; and data can support rapid experimentation. At the same time, digital markets are highly competitive, subject to network effects, vulnerable to privacy and cybersecurity risks, and often dominated by powerful platforms. Entrepreneurs must therefore combine creativity with environmental analysis, customer research, competitive reasoning, technological awareness, and ethical judgement.

This chapter explains how entrepreneurs identify unmet needs, interpret digital trends, apply innovation theories, and assess the external environment, industry, competitors, and entrepreneurial ecosystem. Particular attention is given to PESTLE analysis, Porter’s Five Forces, jobs-to-be-done, design thinking, lean experimentation, and ecosystem analysis.

Learning Objectives

By the end of this chapter, you should be able to:

1. Explain the nature and sources of digital entrepreneurial opportunities.
2. Distinguish an idea from a commercially and socially meaningful opportunity.
3. Apply innovation theories to digital products, services, processes, and business models.
4. Use jobs-to-be-done to investigate customer needs and desired outcomes.
5. Analyse digital trends through PESTLE, industry, competitor, and ecosystem frameworks.
6. Evaluate opportunity attractiveness, feasibility, desirability, and ethical implications.
7. Design evidence-based experiments for testing digital opportunities.

1. From Ideas to Opportunities

An idea is a proposed possibility. An opportunity is a situation in which a problem, need, or change can be addressed through a solution that creates value and can be implemented under prevailing conditions. An idea becomes a stronger opportunity when evidence indicates that:

• a meaningful customer problem exists;
• customers are accessible and willing to adopt a solution;
• the entrepreneur can create and deliver value;
• the venture can capture sufficient value to survive; and
• legal, ethical, technological, and environmental conditions are acceptable.

Opportunity recognition is not always a passive act of discovery. Some opportunities arise from changes that already exist, such as new regulations or technological infrastructure. Others are constructed through experimentation, partnerships, and the entrepreneur’s interpretation of uncertain conditions.

1.1 Sources of digital opportunities

Digital opportunities commonly emerge from the following sources:

Unmet or poorly met needs. Customers may experience excessive cost, delay, inconvenience, risk, or complexity. A digital solution may reduce friction or improve access.

Technological change. Cloud computing, application programming interfaces, machine learning, sensors, blockchain systems, and digital identity infrastructure can enable new forms of value creation. Technology itself, however, is not proof of demand.

Changes in behaviour. Remote work, mobile purchasing, creator economies, digital learning, and social commerce may create new expectations and consumption patterns.

Institutional and regulatory change. New privacy laws, sustainability standards, financial regulations, or public-service policies may create compliance needs and new markets.

Resource recombination. Entrepreneurs may combine existing technologies in a novel way. For example, location services, digital payments, and real-time inventory can be integrated into a new service experience.

Inefficiencies in existing systems. Fragmented supply chains, poor information sharing, and manual administrative processes may reveal opportunities for platforms or workflow automation.

Social and environmental challenges. Digital ventures may address financial exclusion, healthcare access, food waste, energy management, or educational inequality. Such opportunities require attention to impact as well as financial sustainability.

1.2 Opportunity recognition and entrepreneurial alertness

Entrepreneurial alertness refers to the ability to notice connections, information, and possibilities that others overlook. Alertness is developed through domain knowledge, diverse networks, customer contact, curiosity, and systematic observation. It should not be confused with intuition alone. Intuition may generate hypotheses, but research and experimentation are required to assess them.

Prior knowledge can help an entrepreneur understand a problem deeply, yet it can also create cognitive bias. Entrepreneurs may overestimate demand because they personally like an idea, interpret supporting evidence selectively, or assume that early enthusiasm will become paid adoption. Effective opportunity recognition combines imagination with disconfirming evidence.

2. Theories of Innovation and Opportunity Development

2.1 Schumpeterian innovation

Joseph Schumpeter associated entrepreneurship with innovation and economic development. Innovation may involve a new product, a new method of production, a new market, a new source of supply, or a new form of organization. In digital entrepreneurship, this includes platform businesses, subscription models, algorithmic services, digital distribution, and data-enabled processes.

Schumpeter’s concept of creative destruction is particularly relevant to digital markets. New technologies and business models can make established products, processes, or firms less competitive. However, disruption is not automatic. Incumbents may possess customer trust, regulatory expertise, distribution assets, and data advantages.

2.2 Types of innovation

The following classification is useful for analysing the nature of a proposed venture:

Innovation can also be incremental, involving improvements to an existing solution, or radical, involving a substantial change in technology, behaviour, or market structure. A small improvement may produce considerable commercial value if it addresses a frequent and costly customer problem.

2.3 Disruptive innovation

Disruptive innovation is often used loosely to mean any major change. In its more precise strategic sense, disruption occurs when a simpler, more affordable, or more accessible offering initially serves overlooked or less-demanding customers and later challenges established providers. A technologically sophisticated product is not necessarily disruptive. Entrepreneurs should therefore examine customer segments, performance expectations, adoption paths, and incumbent responses rather than applying the label rhetorically.

2.4 Design thinking and lean entrepreneurship

Design thinking is a human-centred approach that commonly involves empathising with users, defining a problem, generating alternatives, prototyping, and testing. The stages are not strictly linear; findings may lead the team back to problem definition.

Lean entrepreneurship emphasises testing critical assumptions before committing substantial resources. A minimum viable product (MVP) is not merely a low-quality product. It is the smallest credible experiment that can generate learning about a major uncertainty. Examples include a landing page, manual service behind a digital interface, clickable prototype, pilot programme, or concierge service.

These approaches complement one another. Design thinking helps entrepreneurs understand people and context; lean experimentation helps them test whether a proposed solution produces observable behaviour.

3. Jobs-to-be-Done: Understanding the Underlying Need

The jobs-to-be-done (JTBD) perspective argues that customers “hire” products or services to make progress in a particular situation. The focus is not only on demographic characteristics or product features, but on the functional, emotional, and social outcomes the customer seeks.

A job statement usually identifies:

• the situation or trigger;
• the desired progress or outcome;
• barriers and anxieties; and
• the context in which the job occurs.

For example, “students aged 18–24 need a note-taking app” is a feature-oriented description. A JTBD formulation may be: “When preparing for an examination using material from several courses, I want to organise, retrieve, and understand key ideas quickly so that I can study confidently without losing important information.” The second formulation reveals possible solutions beyond a note-taking app, such as search, summarisation, spaced practice, or integration with course systems.

3.1 Functional, emotional, and social jobs

A functional job concerns the practical task, such as transferring money or comparing prices. An emotional job concerns how the customer wants to feel, such as being confident or less anxious. A social job concerns how the customer wishes to be perceived, such as appearing responsible or technologically capable.

Customer interviews should investigate actual past behaviour rather than hypothetical approval. Useful questions include:

• What happened the last time you faced this problem?
• What alternatives did you consider?
• What was frustrating or costly?
• What did you do instead?
• What would make you change your current solution?

Statements such as “I would definitely use this” are weak evidence. Behavioural evidence—payment, repeated usage, referrals, time invested, or permission to conduct a pilot—is stronger.

4. Analysing the External Environment with PESTLE

PESTLE examines broad environmental forces that may create or constrain opportunities.

PESTLE should not be a list of generic facts. Each factor should be connected to a strategic implication. For example, increased data-protection enforcement may raise compliance costs, but it may also create demand for privacy-management services. A rise in cloud availability may lower infrastructure barriers, while also increasing dependence on providers.

A useful process is to identify the trend, estimate its direction and time horizon, assess uncertainty, and state its effect on the opportunity. Entrepreneurs should distinguish a trend from a temporary event. They should also examine interactions: economic pressure may increase demand for low-cost digital services, while regulation may constrain the methods used to deliver them.

5. Industry Structure: Porter’s Five Forces

Porter’s Five Forces framework assesses the structural attractiveness and competitive pressure of an industry. The forces are:

1. rivalry among existing competitors;
2. threat of new entrants;
3. bargaining power of suppliers;
4. bargaining power of buyers; and
5. threat of substitutes.

5.1 Rivalry among existing competitors

Rivalry tends to be intense when many firms offer similar solutions, switching costs are low, market growth is slow, or competitors use price competition. Digital markets can scale rapidly, which may intensify competition. Differentiation based on trust, workflow integration, data quality, service, or community can reduce direct comparability.

5.2 Threat of new entrants

Entry barriers may include capital, regulation, specialist knowledge, brand trust, data access, network effects, distribution, and switching costs. Cloud infrastructure can lower technical entry barriers, but customer acquisition, compliance, and credibility may remain difficult.

5.3 Supplier power

Suppliers may include cloud providers, payment processors, data providers, developers, logistics firms, or app stores. Supplier power is high when there are few alternatives, switching is costly, or the supplier controls a critical input. A startup should avoid assuming that an inexpensive service will remain inexpensive or available on favourable terms.

5.4 Buyer power

Buyer power increases when customers have many alternatives, can compare prices easily, purchase in large volumes, or face low switching costs. Digital reviews and comparison tools may strengthen buyer information. Segmentation, superior outcomes, trust, and integration can reduce price sensitivity.

5.5 Threat of substitutes

A substitute is a different way of solving the same customer job. A digital bookkeeping platform may compete not only with another platform but also with spreadsheets, accountants, or doing nothing. JTBD analysis is particularly useful for identifying substitutes.

Five Forces analyses industry structure, not the quality of one particular business idea. It should therefore be combined with customer research, resource analysis, and business-model evaluation.

6. Competitor and Ecosystem Analysis

6.1 Competitor analysis

Competitor analysis should include direct competitors, indirect competitors, potential entrants, and substitute solutions. Relevant dimensions include customer segment, job served, value proposition, price, revenue model, distribution, user experience, technology, trust, partnerships, and weaknesses.

A perceptual map can compare competitors on two strategically relevant dimensions, such as convenience and customisation. Entrepreneurs should avoid choosing dimensions merely because they make the proposed venture appear superior. The dimensions must matter to customers and be supported by evidence.

Competitor analysis has two purposes. First, it identifies the minimum expectations required to be credible. Second, it reveals opportunities for differentiation. Differentiation must be meaningful and defensible; a feature that competitors can copy quickly is not a durable advantage by itself.

6.2 Ecosystem analysis

A digital venture operates within an ecosystem of users, complementors, suppliers, platforms, regulators, investors, universities, communities, infrastructure providers, and other stakeholders. A platform may create value by enabling interactions among multiple participant groups rather than by selling a standalone product.

Important ecosystem questions include:

• Which actors control essential resources or access?
• Which partners increase the value of the offering?
• Are there network effects?
• Who bears risks such as fraud, misinformation, exclusion, or privacy loss?
• What standards or interfaces enable interoperability?
• How might a powerful platform change its terms?

Network effects occur when the value of a service changes as participation changes. Direct network effects arise when additional users increase value for users of the same type, as in a communication network. Indirect network effects arise when growth on one side attracts complementors or participants on another side, as in a marketplace. Network effects can support growth but can also create concentration, lock-in, and governance problems.

7. Evaluating an Opportunity

A practical opportunity screen should evaluate at least five dimensions:

Opportunity assessment should be evidence-based. A simple scoring matrix may rank each dimension from 1 to 5, but the scores are not objective measurements. They are structured judgements whose assumptions must be recorded. High scores should be supported by evidence such as interviews, observed behaviour, pilot retention, payment tests, supplier quotations, or regulatory advice.

7.1 Basic financial logic

Although detailed financial modelling belongs to later study, early opportunity assessment should distinguish revenue from profit. A simple contribution calculation is:

Selling price and variable cost must use the same currency and unit. Variable costs are costs that change with each unit or transaction, such as payment fees, delivery, or usage-based computing. Fixed costs do not vary directly with short-run volume.

If fixed costs are known and the contribution margin per unit is positive, the break-even volume is:

This calculation assumes constant selling price and variable cost, all units are sold, and fixed costs remain fixed over the relevant range. It is a simplified planning tool, not a forecast.

Worked example. A digital service charges $30 per subscription. Variable service and payment costs total $12 per subscriber per month. Monthly fixed costs are $9,000.

Contribution margin = $30 − $12 = $18 per subscriber.

Break-even volume = $9,000 ÷ $18 = 500 subscribers.

The venture must therefore maintain approximately 500 subscribers per month to cover the stated fixed costs under these assumptions. This does not prove that 500 customers can be acquired or retained; those are empirical questions.

8. Experimentation and Evidence

Entrepreneurs should identify the assumptions most likely to invalidate the opportunity. These may concern problem intensity, willingness to pay, acquisition cost, retention, technical performance, regulation, or partner participation.

A useful experiment includes:

1. a clearly stated assumption;
2. a target customer and context;
3. a test method;
4. a measurable success criterion;
5. a time period and resource limit; and
6. a decision rule.

For example, a startup may test whether independent retailers will pay for automated inventory alerts. Instead of building a full platform, it could conduct structured interviews, manually produce alerts for a small pilot group, and measure continued use and payment commitments. The experiment should distinguish learning metrics from vanity metrics. Website visits may indicate awareness, whereas completed registrations, active use, retention, and payment provide stronger evidence of value.

A/B testing can compare two versions of a digital experience when users can be assigned appropriately and the outcome is measurable. The test should define the primary metric before observing results. Entrepreneurs must avoid changing several variables simultaneously when they want to attribute an outcome to one change. Small samples, seasonal effects, selection bias, and repeated testing can make results misleading.

9. Illustrative Case: ReFill Local

Background

ReFill Local is a fictional illustrative venture proposed by a student team. It aims to help urban consumers purchase household cleaning products from local refill shops using a mobile ordering and collection service.

Problem

Interviews suggest that environmentally motivated consumers dislike single-use packaging but find refill shopping inconvenient. They have difficulty locating stores, checking product availability, carrying containers, and comparing prices. Retailers, meanwhile, struggle to forecast demand and communicate stock information.

Analysis

Using JTBD, the consumer job is: “When I need routine household products, I want to obtain them conveniently without unnecessary packaging so that I can act sustainably without spending excessive time.” The retailer job is: “When managing refill inventory, I want predictable demand and simple digital ordering so that I can reduce waste and serve customers efficiently.”

PESTLE reveals supportive environmental concern and possible municipal waste-reduction initiatives. Economic pressure may make customers sensitive to price. Legal analysis must consider consumer information, payments, product safety, and data protection. Technologically, barcode scanning and digital inventory tools are feasible, but integration with different retailers may be difficult.

Five Forces suggests moderate rivalry from grocery delivery services and specialised sustainability platforms. Buyer power is high because consumers can buy conventional packaged products easily. Supplier power may be moderate because the venture depends on participating retailers and product wholesalers. Substitutes include supermarkets, bulk purchasing, and simply continuing existing behaviour. The strongest initial barrier is not software development but acquiring a sufficiently dense local retailer network.

Approach and experiments

The team should not begin by building a complex marketplace. It could first recruit five retailers in one neighbourhood, publish a simple product catalogue, and manually confirm stock. Experiments could test:

• whether customers will place and collect orders;
• whether retailers update inventory reliably;
• whether repeat use occurs within four weeks;
• whether customers accept a service fee; and
• whether packaging reduction is measurable.

A successful pilot would provide evidence for building inventory integration and expanding geographically. A weak pilot might indicate that the main problem is not ordering but store location, pricing, or container management.

Outcome and learning points

The case illustrates that opportunity recognition involves the entire system, not just the customer-facing application. It also shows the value of testing behaviour before investing in technology. Environmental purpose can support differentiation, but the venture still needs convenience, reliable operations, and a viable revenue model. Finally, a marketplace must create value for both customers and retailers; serving only one side is insufficient.

10. Ethical, Legal, and Governance Considerations

Digital entrepreneurs often handle personal data, make recommendations, influence choices, or mediate interactions among users. Opportunity evaluation must therefore include responsibility from the beginning.

Privacy and data governance. Collect only data that is necessary, explain its use, protect it appropriately, and provide lawful choices where required. Data retention, access controls, breach response, and third-party sharing should be designed rather than improvised.

Algorithmic fairness. AI systems may reproduce or amplify bias in training data, design choices, or performance measurement. Entrepreneurs should test outcomes across relevant groups, document limitations, and provide human review where consequences are significant.

Consumer protection. Pricing, subscriptions, endorsements, cancellation terms, and performance claims must be clear and not deceptive. Dark patterns—interfaces designed to manipulate users into choices they would not otherwise make—may create legal and reputational risk.

Cybersecurity. Threat modelling should consider unauthorised access, fraud, service disruption, insecure dependencies, and social engineering. Security is a business requirement, not merely a technical feature.

Inclusion and accessibility. Digital products should consider disability access, language, affordability, connectivity, digital literacy, and unequal access to devices or payment systems.

Intellectual property. Entrepreneurs should assess ownership of software, data, brand assets, content, and inventions. Open-source components may impose licence obligations, and scraping or using third-party data may create legal and ethical issues.

Legal requirements differ by jurisdiction and change over time. Entrepreneurs should seek qualified professional advice rather than treating a framework or textbook as legal counsel.

11. Contemporary Developments

Generative AI is lowering the cost of content creation, coding assistance, customer support, and analysis. It may create opportunities for specialised workflow tools, but generic access to an AI model is rarely a sufficient competitive advantage. Entrepreneurs should examine proprietary data, workflow integration, accuracy, human oversight, intellectual-property risk, and the cost of inference.

No-code and low-code tools reduce the cost of prototyping. Digital public infrastructure, interoperable payments, digital identity, and open standards may broaden market access. At the same time, platform dependence, algorithmic visibility, cyber threats, energy consumption, and regulatory scrutiny are increasing.

Sustainable digital entrepreneurship requires examining the full system. Digital services may reduce travel or material use, but data centres, devices, networks, and electronic waste have environmental costs. A credible sustainability proposition should identify measurable effects rather than rely on general claims.

Best Practices for Entrepreneurs

1. Start with a customer situation and job, not a preferred technology.
2. Investigate substitutes, including non-digital behaviour and inaction.
3. Combine PESTLE, Five Forces, competitor, and ecosystem analysis.
4. Separate facts, assumptions, interpretations, and decisions.
5. Seek disconfirming evidence and interview users about real past behaviour.
6. Test the riskiest assumptions before building a complete product.
7. Measure retention, payment, outcomes, and repeat behaviour rather than attention alone.
8. Consider partners, suppliers, platforms, and regulators early.
9. Build privacy, security, accessibility, and fairness into the opportunity design.
10. Treat strategic frameworks as lenses for judgement, not substitutes for evidence.

Chapter Summary

Digital opportunity recognition is the process of identifying and evaluating possibilities for creating and capturing value in changing conditions. A promising idea becomes an opportunity only when it addresses a meaningful need, can be implemented, has a viable economic logic, and is acceptable from legal, ethical, and social perspectives.

Schumpeterian innovation highlights new products, processes, markets, sources of supply, and organisational forms. Design thinking supports human-centred problem understanding, while lean experimentation reduces uncertainty through small, measurable tests. Jobs-to-be-done helps entrepreneurs focus on the progress customers seek rather than on demographic labels or isolated features.

PESTLE analyses broad environmental forces; Five Forces examines industry structure; competitor analysis identifies alternatives and differentiation; and ecosystem analysis reveals dependencies, complementors, network effects, and governance issues. These frameworks are most useful when connected to evidence and strategic implications.

Finally, digital entrepreneurship requires responsible innovation. Data governance, cybersecurity, consumer protection, inclusion, intellectual property, algorithmic fairness, and environmental effects must be considered alongside desirability, feasibility, viability, and defensibility. The entrepreneur’s central task is not merely to invent technology, but to develop a tested and responsible response to a real problem.

Key Terms

Business model: The logic through which an organisation creates, delivers, and captures value.

Competitor analysis: Systematic examination of rival and substitute offerings.

Creative destruction: Economic change in which new innovations displace established products, processes, or firms.

Digital entrepreneurship: Entrepreneurial activity that substantially uses digital technologies, data, platforms, or networks.

Disruptive innovation: Innovation that follows a trajectory from serving overlooked or less-demanding users toward challenging established providers.

Ecosystem: Interdependent set of organisations, users, platforms, institutions, and resources surrounding a venture.

Entrepreneurial alertness: Capacity to notice and interpret potentially valuable changes, information, and connections.

Experiment: A structured test designed to produce evidence about an important assumption.

Jobs-to-be-done: Perspective that customers use products and services to make desired progress in particular situations.

Lean entrepreneurship: Approach that emphasises rapid learning and testing before major resource commitment.

Minimum viable product: Smallest credible version or experiment capable of generating meaningful learning.

Network effect: Change in the value of a service resulting from changes in participation by users or complementors.

Opportunity: A feasible and potentially valuable possibility for addressing a need or exploiting change.

PESTLE: Framework analysing political, economic, social, technological, legal, and environmental forces.

Platform: Digital or organisational infrastructure that facilitates interactions among different participant groups.

Substitute: An alternative way of satisfying the same customer job or need.

Sustainable competitive advantage: Advantage that can be maintained because it is valuable, difficult to imitate, and supported by appropriate capabilities.

Value proposition: Clear statement of the benefits and outcomes offered to a target customer.

Review Questions

Short Answer Questions

1. Distinguish an idea from an entrepreneurial opportunity.
2. Identify four common sources of digital opportunities.
3. What is the purpose of jobs-to-be-done analysis?
4. Name the five forces in Porter’s industry framework.
5. Why is an MVP not necessarily a poor-quality product?

Long Answer Questions

1. Explain how design thinking and lean entrepreneurship can be combined in digital venture development.
2. Discuss the role of entrepreneurial alertness and prior knowledge in opportunity recognition, including their possible limitations.
3. Explain how PESTLE analysis can reveal both opportunities and threats for a digital venture.
4. Analyse the importance of ecosystem relationships and network effects in platform entrepreneurship.
5. Discuss the ethical and governance responsibilities of a digital entrepreneur handling personal data and using AI.

Analytical / Application Questions

1. Select a digital business idea and apply PESTLE and Five Forces to assess its external environment and industry attractiveness.
2. Rewrite a feature-oriented description of a product as a jobs-to-be-done statement, then propose two experiments to test the underlying customer need.
3. Using the ReFill Local case, identify the three riskiest assumptions and design a measurable experiment for each one.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes an entrepreneurial opportunity from an idea?

A. An opportunity is always based on advanced technology.

B. An opportunity has evidence of a meaningful need and a feasible value-creation possibility.

C. An opportunity is any idea that an entrepreneur personally prefers.

D. An opportunity requires a large amount of initial funding.

Correct Answer: B. An opportunity has evidence of a meaningful need and a feasible value-creation possibility.

Question 2

Which question is most consistent with the jobs-to-be-done perspective?

A. What age group should receive the most advertising?

B. Which colour should be used in the interface?

C. What progress is the customer trying to make in a particular situation?

D. How many features can be added before launch?

Correct Answer: C. What progress is the customer trying to make in a particular situation?

Question 3

Which PESTLE dimension includes privacy and consumer-protection rules?

A. Political

B. Technological

C. Social

D. Legal

Correct Answer: D. Legal

Question 4

Which of the following is a substitute for an online bookkeeping platform?

A. A competing bookkeeping platform only

B. A spreadsheet or a human accountant

C. A cloud hosting provider

D. A digital advertising agency

Correct Answer: B. A spreadsheet or a human accountant

Question 5

A digital marketplace experiences indirect network effects when:

A. Users of one type communicate only with users of exactly the same type.

B. The value of one participant group increases as complementors or another participant group grows.

C. The platform reduces all prices to zero.

D. The platform prevents new participants from joining.

Correct Answer: B. The value of one participant group increases as complementors or another participant group grows.

Question 6

A service sells for $30 per month and has variable costs of $12 per subscriber. What is its contribution margin per subscriber?

A. $12

B. $18

C. $30

D. $42

Correct Answer: B. $18

Question 7

If fixed costs are $9,000 and contribution margin is $18 per subscriber, what is the simplified break-even volume?

A. 50 subscribers

B. 180 subscribers

C. 500 subscribers

D. 9,018 subscribers

Correct Answer: C. 500 subscribers

Question 8

Which is the strongest evidence that customers value a proposed digital service?

A. They say the idea sounds interesting.

B. The entrepreneur receives many social-media impressions.

C. Users repeatedly use the service and pay for it.

D. The founding team believes the market is large.

Correct Answer: C. Users repeatedly use the service and pay for it.

Question 9

Which force concerns dependence on cloud providers, payment processors, or data suppliers?

A. Supplier power

B. Threat of substitutes

C. Buyer power

D. Rivalry among existing competitors

Correct Answer: A. Supplier power

Question 10

What is the primary purpose of an early MVP?

A. To include every planned feature.

B. To create evidence about important assumptions with limited resources.

C. To guarantee a profitable business model.

D. To eliminate the need for customer research.

Correct Answer: B. To create evidence about important assumptions with limited resources.