Author: Taylor Warfield, Former Bain Manager and interviewer

Last Updated: June 13, 2026

 

 

Technology consulting case interviews are business problem-solving exercises where the central decision involves technology, and you pass them with the same 6-step approach as a traditional case plus a handful of tech-specific frameworks. This guide covers that approach, the 6 frameworks worth knowing, a fully worked cloud migration example with the math, 7 practice cases, and the 5 mistakes that sink most candidates.

 

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Key Takeaways

 

Technology consulting case interviews are standard case interviews where the core decision involves technology, and you pass them with a structured 6-step approach, a working knowledge of 6 tech frameworks, and fluency in metrics like total cost of ownership and payback period.

 

• Tech cases appear at Accenture, Deloitte, Cognizant, IBM, Capgemini, McKinsey Digital, and BCG X

 

• Most cases run 20 to 45 minutes and follow a build vs. buy, cloud migration, vendor selection, or AI adoption pattern

 

• Start with the business problem and bring technology in as the solution, not the other way around

 

• Know total cost of ownership, ROI, and payback period cold. They replace revenue and profit as the core case math

 

• You don't need a technical background, but you do need conceptual fluency in cloud, AI, and cybersecurity

 

• Spend 80% of your prep on general case skills and the final 20% on tech-specific practice

 

What Changed in 2026?

 

This guide was refreshed in June 2026 with two new sections: a breakdown of the metrics that show up in tech cases and a fully worked cloud migration example with every calculation shown. AI adoption, cloud ROI, and cybersecurity trade-offs continue to dominate the cases firms are giving.

 

Market data was also updated. Gartner's April 2026 forecast puts worldwide IT spending at $6.31 trillion this year, which means tech consulting hiring and tech case interviews aren't slowing down.

 

What Is a Technology Consulting Case Interview?

 

A technology consulting case interview is a 20 to 45 minute exercise where you solve a hypothetical business problem that involves technology. The interviewer plays the role of a client or partner and you walk them through how you'd structure the problem, analyze the data, and reach a recommendation.

 

Technology consulting firms use these cases because they reveal how you think under pressure. In a short conversation, an interviewer can evaluate your business judgment, technical reasoning, and communication style all at once.

 

Typical tech case scenarios include:

 

• Deciding whether a company should build or buy a software solution

 

• Choosing between competing technology vendors

 

• Evaluating whether to migrate infrastructure to the cloud

 

• Determining whether to develop technology in-house or outsource it onshore, nearshore, or offshore

 

• Assessing the ROI of a digital transformation initiative

 

• Recommending a cybersecurity investment after a breach

 

• Prioritizing which processes a client should automate with AI first

 

Which Firms Use Technology Consulting Case Interviews?

 

Technology cases are most common at the top IT consulting firms and at strategy firms with large digital practices. The table below covers the firms where tech cases are part of almost every interview loop.

 

Firm	What to Expect
Accenture	Heavy focus on technology implementation. Cases often reference platforms like SAP, Salesforce, AWS, or Azure and carry more technical depth than at strategy firms.
Deloitte Consulting	The Technology practice runs cases on digital strategy, IT program delivery, infrastructure, and cybersecurity. Cases are candidate-led and 30 to 45 minutes long.
Cognizant	Cases focus on IT services, application development, and outsourcing decisions, with a strong emphasis on cost-benefit analysis.
IBM Consulting	Cases blend traditional strategy with hybrid cloud, AI, and enterprise software questions. Expect references to specific IBM platforms.
Capgemini	Cases test both business judgment and technical knowledge. European candidates may see more questions on regulatory and compliance technology.
McKinsey Digital	Interviewer-led cases with a tech angle, often AI adoption, cloud migration, or digital product strategy. Same format as standard McKinsey interviews.
BCG X	Candidate-led cases focused on product thinking, agile development, and technical architecture. Formerly known as BCG Platinion.
Big 4 (KPMG, EY, PwC)	Cases often touch on ERP implementation, risk management technology, and audit-related tech.

 

The demand behind these interviews keeps growing. According to Gartner's April 2026 forecast, worldwide IT spending will reach $6.31 trillion in 2026, up 13.5% from 2025, with IT services the single largest segment at over $1.87 trillion.

 

That spending is exactly what technology consultants help clients manage. It's also why firms keep using tech cases to test whether candidates from non-technical backgrounds can bridge business and IT.

 

How Do Technology Cases Differ From Traditional Case Interviews?

 

Technology cases share the same foundation as traditional cases. You build a framework, analyze data, and deliver a recommendation. The differences sit in what gets emphasized and how the interviewer expects you to think.

 

Traditional Case Interview	Technology Case Interview
Focus is on the business decision	Focus balances business, people, and technology
Ends with a strategic recommendation	Often requires an implementation roadmap
Numbers cover revenue, cost, and profit	Numbers cover total cost of ownership, ROI, payback period, uptime
Technology is one factor among many	Technology is central to the solution
Value is often immediate or short-term	Value materializes over months or years
Risks are mostly market and competitive	Risks include adoption, integration, and security

 

You do not need to be a software engineer to solve these cases. You do need a working understanding of cloud computing, software development, data, and AI at a conceptual level.

 

In my experience as a Bain interviewer, the strongest candidates were the ones who started with the business problem and brought technology in as a way to solve it, not the other way around.

 

What Do Interviewers Look For in a Technology Case Interview?

 

Technology case interviews assess five qualities in a single 20 to 30 minute exercise. The same five qualities show up across every firm in this article, even though each firm weights them slightly differently.

 

• Logical, structured thinking: can you break a complex technical problem into smaller, organized parts and use logic to reach the right conclusion

 

• Analytical problem solving: can you read data, interpret charts, run the right calculations, and draw correct conclusions from the numbers in front of you

 

• Business acumen: do you understand fundamental business and technology concepts, and do your recommendations make economic sense

 

• Communication skills: can you explain technical ideas in plain language, clearly and concisely

 

• Personality and cultural fit: are you coachable, collaborative, and the kind of person clients would want in the room

 

How Do You Solve a Technology Consulting Case in 6 Steps?

 

The approach for solving a technology case is the same as a traditional case. Follow these six steps in order and the case will feel manageable, no matter how technical the topic.

 

Step 1: Understand the Case

 

Your interviewer will open with the case background. Take detailed notes as they speak and focus on two things: the context of the situation and the objective of the case.

 

Ask clarifying questions if anything is unclear. You can also play the background information back to the interviewer to confirm you've captured the objective correctly.

 

Not answering the right business question is the quickest way to fail a case. Make sure you nail the objective before you do anything else.

 

Step 2: Structure the Problem

 

Next, build a framework that breaks the problem into smaller parts. Case interview frameworks organize ideas into clean categories so you can tackle them one at a time.

 

Ask the interviewer for a minute to think before you present. Then walk them through your framework with confidence. They may ask follow-up questions or push back on a particular area.

 

Step 3: Kick Off the Case

 

How the case unfolds from here depends on whether it's candidate-led or interviewer-led.

 

In a candidate-led case, you propose which area of your framework to investigate first and explain why. There's no single right place to start.

 

In an interviewer-led case, the interviewer will tell you where to start or hand you a specific question to answer.

 

Step 4: Solve Quantitative Problems

 

Technology cases almost always have a quantitative component. You might calculate the total cost of ownership of two software platforms, the payback period of a cloud migration, or the savings from automating a manual process.

 

Before you do any math, lay out your approach and walk the interviewer through it. Once they approve, the rest is execution. This step also gives the interviewer a chance to nudge you if your approach has a flaw.

 

Step 5: Answer Qualitative Questions

 

Tech cases also test how you handle softer questions. You might be asked to list risks of a cloud migration, reasons employees resist new software, or whether a vendor partnership is a good idea.

 

Structure your answer before you start talking. Brainstorming in case interviews goes much better when you group ideas into 2 to 3 categories first. For opinion questions, state your position and then give the reasons behind it.

 

Step 6: Deliver a Recommendation

 

Close the case with a clear, confident recommendation and the 2 to 3 most important reasons behind it. You don't need to recap every step of the case, just the facts that drove your answer.

 

Mention next steps you'd take with more time or data. Useful next steps include piloting the solution in one region, gathering vendor references, or running a security audit before a full rollout.

 

What Are the Key Technology Case Interview Frameworks?

 

There are six frameworks worth knowing for technology cases. Use them as starting points, not rigid templates. The strongest candidates pick the elements that fit the case in front of them and build a tailored structure.

 

If you're interviewing for an entry-level role, the first two frameworks below will cover most of what you need. The remaining four show up more often in senior or specialist interviews.

 

PPT Framework (People, Process, Technology)

 

PPT is the most useful general-purpose framework for tech cases. It says that any organizational change requires alignment across people, process, and technology, and a weak link in any of the three will sink the project.

 

• People: do employees have the right skills and training, are roles clear, and does the project have leadership buy-in

 

• Process: are the right workflows in place, are bottlenecks understood, and will processes need redesign to fit the new tech

 

• Technology: are the right tools being used, is the architecture scalable, and are there integration risks with existing systems

 

PPT works especially well for digital transformation, system implementation, and change management cases.

 

Technology Evaluation Framework

 

Use this framework when comparing technologies or vendors, or when deciding whether to build or buy. It evaluates each option on three core factors.

 

• Ability to meet requirements: does the option satisfy the functional, technical, and security requirements

 

• Total cost of ownership: what is the fully loaded cost including licenses, implementation, training, and ongoing support, and does it fit the budget

 

• Time to launch: how long until the solution is deployed and usable, and does the timeline match the client's goals

 

Strong candidates also weigh vendor reputation, scalability, and exit costs if the client wants to switch later.

 

ITIL Framework

 

ITIL stands for Information Technology Infrastructure Library. It's one of the most widely used approaches for managing IT services, and it shows up in cases about service desk operations, application support, and IT operating models.

 

ITIL breaks the lifecycle of IT services into five stages:

 

• Service Strategy: decide which services to offer based on customer needs and market conditions

 

• Service Design: design new services and improvements to existing ones

 

• Service Transition: build, test, and deploy services in a coordinated way

 

• Service Operation: deliver services day to day, fulfill user requests, and resolve incidents

 

• Continual Service Improvement: learn from past performance and improve the effectiveness of IT services over time

 

TOGAF Framework

 

TOGAF stands for The Open Group Architecture Framework. It's used for enterprise architecture cases where the client is redesigning how their business, data, and applications fit together.

 

TOGAF covers four architecture domains:

 

• Business architecture: the business strategy, governance, and key processes of the organization

 

• Data architecture: the structure of an organization's logical and physical data assets

 

• Applications architecture: the blueprint for individual systems, how they interact, and how they connect to core business processes

 

• Technical architecture: the hardware, software, and network infrastructure that supports the applications

 

CMMI Framework

 

CMMI stands for Capability Maturity Model Integration. It's used to assess how mature a company's processes are and where they need to improve. CMMI defines five maturity levels:

 

• Level 1 (Initial): processes are unpredictable and reactive

 

• Level 2 (Managed): processes exist for projects but are still mostly reactive

 

• Level 3 (Defined): processes are documented across the organization and are proactive

 

• Level 4 (Quantitatively Managed): processes are measured and controlled with data

 

• Level 5 (Optimizing): processes are continuously improved using quantitative feedback

 

CMMI is most useful in cases about software development organizations, outsourcing decisions, and IT operating model maturity.

 

Cloud Adoption Framework

 

Cloud cases come up more often every year, and you should be ready for them. The Cloud Adoption Framework looks at six dimensions to evaluate whether and how a company should move to the cloud.

 

• Business case and ROI: what the move saves or earns versus what it costs

 

• Workload assessment: which applications move and which stay on-premise

 

• Migration approach: rehost, refactor, rebuild, or retire each workload

 

• Security and compliance: data protection, regulatory requirements, and access controls

 

• Operating model and skills: whether the client's teams can run a cloud environment

 

• Cost management and governance: how spending will be monitored and controlled after the move

 

The major cloud providers each have their own version of this framework. Whichever one comes up in your case, the underlying logic is the same.

 

What Metrics Do You Need to Know for Technology Cases?

 

Technology cases replace the usual revenue and profit math with seven metrics: total cost of ownership, ROI, payback period, ARR, churn rate, LTV to CAC ratio, and net revenue retention. The first three appear in almost every tech case, while the last four matter when the client is a software business.

 

Metric	What It Measures	How to Calculate It
Total cost of ownership (TCO)	The full cost of a technology over its life, not just the sticker price	Purchase or build cost + implementation + training + ongoing support and maintenance
ROI	Whether a technology investment is worth making	(Total benefit minus total cost) divided by total cost
Payback period	How long until savings cover the upfront investment	Upfront cost divided by annual savings
ARR	A software company's annualized subscription revenue base	Monthly recurring revenue multiplied by 12
Churn rate	How quickly a software business loses customers	Customers lost in a period divided by customers at the start of it
LTV to CAC ratio	Whether each customer is worth more than they cost to acquire	Customer lifetime value divided by customer acquisition cost, with 3 to 1 the common health threshold
Net revenue retention (NRR)	Whether existing customers grow or shrink revenue over time	(Starting recurring revenue + expansion minus churn) divided by starting recurring revenue, with above 100% the goal

 

You don't need to memorize benchmark tables. You do need to recognize which metric the case is really asking about and set up the calculation cleanly.

 

One pattern I saw repeatedly as an interviewer: candidates who framed a tech investment in payback period terms sounded like consultants, while candidates who only quoted the upfront cost sounded like procurement. The metric you choose signals how you think.

 

What Does a Worked Technology Case Example Look Like?

 

Here's a complete walkthrough of a cloud migration case using clean, illustrative numbers. Every figure below is hypothetical, but the structure and math mirror what you'll face in a real interview.

 

Prompt: Let's say a logistics company spends $20M per year running its own on-premise data centers. Migrating to the cloud would cost $15M upfront, and the cloud environment would then cost $14M per year to run. Should the client migrate?

 

Step 1, clarify the objective: confirm the client's goal is reducing IT infrastructure cost without disrupting operations, and confirm the time horizon. Assume the client cares about a 5-year view.

 

Step 2, lay out the math before calculating: compare the 5-year cost of staying on-premise against the 5-year cost of migrating, then calculate the payback period on the upfront investment.

 

1. Cost of staying: $20M per year times 5 years equals $100M
   
   
2. Cost of migrating: $15M upfront plus $14M per year times 5 years equals $15M plus $70M, or $85M
   
   
3. 5-year savings: $100M minus $85M equals $15M
   
   
4. Annual run-rate savings: $20M minus $14M equals $6M per year
   
   
5. Payback period: $15M upfront divided by $6M per year equals 2.5 years

 

Step 3, interpret the numbers out loud: the migration pays for itself in 2.5 years and saves $15M over 5 years, so the economics favor migrating. The longer the time horizon, the stronger the case gets, since the $6M annual savings continue after year 5.

 

Step 4, deliver the recommendation. Here's how a strong close sounds:

 

Interviewer: So what should the client do?

 

You: I recommend the client migrate to the cloud. The move pays for itself in 2.5 years, saves $15M over 5 years, and converts a fixed $20M cost into a more flexible one that can scale down in slow quarters. The two risks I'd manage are migration cost overruns and a skills gap on the internal team, so as next steps I'd pilot the migration with one non-critical workload and assess whether we need to hire or train cloud engineers before the full move.

 

Notice the structure: recommendation first, then the 2 to 3 reasons, then risks and next steps. That close takes under 45 seconds and covers everything the interviewer is grading.

 

What Are the Most Common Types of Technology Case Interviews?

 

Technology cases tend to fall into seven recurring patterns. If you've practiced each of these, you'll recognize the structure of most cases you face.

 

Build vs. Buy

 

A client needs new software and is weighing whether to build it in-house or buy an existing solution. The analysis usually comes down to cost, time to launch, customization needs, and long-term maintenance.

 

Example: a retailer needs an e-commerce platform. Should they buy an off-the-shelf platform or build a custom one?

 

Cloud Migration

 

A client is deciding whether to move infrastructure or applications from on-premise data centers to the cloud. Cloud transformation case interviews hinge on security, cost, latency, and skill gaps.

 

Example: a bank wants to move its core banking system to the cloud over 3 years. What's the right approach?

 

Vendor Selection

 

A client must choose between two or three vendors offering similar products. You'll typically compare features, cost, integration effort, and vendor stability.

 

Example: an insurance company is choosing between two claims management software vendors. Which one should they pick?

 

Digital Transformation

 

Digital transformation case interviews ask how a client should use technology to improve revenue, costs, or customer experience. These cases blend strategy, tech, and change management.

 

Example: a 100-year-old retailer wants to compete with online-first players. What should they do over the next 3 years?

 

Cybersecurity

 

Cybersecurity case interviews put you in front of a client that has experienced a breach or is worried about one. You'll evaluate risk, recommend investments, and weigh trade-offs between security and user experience.

 

Example: a hospital system was hit by ransomware. What should they do in the next 30, 90, and 365 days?

 

AI and Automation

 

A client wants to use AI or robotic process automation to cut costs or improve quality. AI implementation case interviews usually center on which processes to automate first, expected savings, and adoption risks.

 

Example: a call center wants generative AI to handle 30% of customer questions. Is that realistic, and what does the rollout plan look like?

 

IT Modernization

 

A client has legacy systems that are slowing the business down. You'll prioritize which systems to upgrade, decide between rebuild and replace, and plan the transition.

 

Example: a government agency runs a 30-year-old mainframe. How should they modernize it without disrupting services?

 

What Are 7 Technology Case Interview Examples to Practice?

 

The 7 publicly available tech cases below come from official firm sources and MBA consulting casebooks. Work through each one out loud, ideally with a partner, and time yourself to 30 minutes.

 

• MedX Smart Pill Bottle (Deloitte): a connected pill bottle company needs to expand its customer experience while staying ahead of competitors

 

• Architecture Strategy at Federal Finance Agency (Deloitte): a federal agency needs to redesign its IT architecture to meet new regulatory demands

 

• XFintech Inc. Ransomware Attack (Deloitte): a fintech company is hit by ransomware mid-quarter and needs an immediate response plan plus a longer-term security roadmap

 

• Applied AI, Automation, and the Future of Work (Deloitte): a client wants to use AI and automation to redesign its workforce, testing both strategy and change management

 

• Digital Transformation Prioritization: a major bank wants to digitally transform its products to grow revenue and lower costs. Decide which products to tackle first and how to roll them out

 

• Software Quality Improvement: the R&D arm of a bank is spending more than 30% of its software development time fixing bugs. Recommend a plan to drive that number down

 

• Cloud Migration ROI: a logistics company spends $20M per year on on-premise data centers. Should they migrate to the cloud, and if so, how should they sequence the move

 

What Are the Most Common Mistakes in Technology Case Interviews?

 

Five mistakes show up in almost every weak performance. If you can avoid these, you'll already be ahead of most candidates.

 

Mistake 1: Leading With Technology Instead of the Business Problem

 

Candidates with a tech background often jump straight to the technology. The strongest answers start with the business goal and bring tech in as the means to reach it.

 

Mistake 2: Memorizing Frameworks and Forcing Them

 

ITIL and TOGAF are useful, but only when the case calls for them. Forcing a memorized framework onto a case that doesn't fit is one of the fastest ways to lose the interviewer.

 

Mistake 3: Ignoring Change Management

 

Most tech projects fail because of adoption, not technology. According to BCG research, as many as 70% of digital transformations fall short of their objectives.

 

If you don't mention training, communication, and resistance, the interviewer will assume you've never been near a real project. A single sentence on adoption risk can separate you from the candidate before you.

 

Mistake 4: Skipping the Math

 

Tech case math is often less clean than profitability case math, so candidates avoid it. Don't. Run the total cost of ownership, payback period, or ROI numbers carefully and explain what they mean.

 

If quick arithmetic under pressure is your weak spot, case interview mental math drills will fix it faster than anything else.

 

Mistake 5: Naming Specific Vendors Without Reason

 

Dropping AWS, Azure, or SAP into a recommendation without explaining why looks like buzzword stuffing. Name a product only when the case clearly involves it and you can explain what it does and what it would cost.

 

How Should You Prepare for a Technology Consulting Case Interview?

 

Preparation looks slightly different from a generalist case interview, but most of the work is the same. Spend 80% of your time becoming strong at general case interviews and the last 20% on tech-specific practice.

 

1. Master the fundamentals: get comfortable with profitability case interviews, market sizing, and market entry cases before you touch a tech case
   
   
2. Learn the six tech frameworks: you don't need to memorize them word for word, but you should know when each one applies
   
   
3. Build basic technology fluency: read about cloud computing, AI, SaaS economics, and cybersecurity until you can explain each in 2 to 3 sentences
   
   
4. Practice 5 to 10 tech-specific cases: use the practice cases listed above, time yourself, and record your sessions if you can
   
   
5. Get feedback: practice with a partner or peer interviewer, since self-practice has diminishing returns past about 10 cases

 

If you want a faster path through steps 1 and 2, my case interview course covers the frameworks, math drills, and full case walkthroughs in as little as 7 days.

 

For step 5, working with someone who has sat on the other side of the table changes everything. My case interview coaching gives you that feedback from a former Bain interviewer who has coached hundreds of candidates 1-on-1.

 

The technology consulting case interview rewards the same habits as every other case: a clear structure, clean math, and a recommendation that starts with the business problem. Pick one practice case from the list above and run it out loud today, because reading about cases will never substitute for doing them.

 

Frequently Asked Questions

 

How long is a technology consulting case interview?

 

Most technology consulting case interviews run 20 to 45 minutes. McKinsey Digital cases tend to sit at the shorter end. Deloitte, Accenture, and IBM cases usually run longer because they include implementation discussion.

 

Do I need a technical background to pass a technology case interview?

 

No. Most technology consulting firms hire candidates from many backgrounds. You do need basic fluency in cloud computing, software development, AI, and cybersecurity at a conceptual level. Firms test whether you can connect business goals to technology decisions, not whether you can write code.

 

How is a technology case different from a digital transformation case?

 

Technology cases cover any business problem where tech is central, including vendor selection, IT modernization, build-vs-buy, and cybersecurity. Digital transformation cases are a specific subset focused on using technology to reshape a company's products, operations, or customer experience over multiple years.

 

Which framework should I use for a technology case interview?

 

Start with PPT (People, Process, Technology) for most cases. Use the Technology Evaluation Framework for vendor and build-vs-buy decisions. Pull in ITIL, TOGAF, CMMI, or the Cloud Adoption Framework only when the case specifically calls for them.

 

What math do I need for a technology case interview?

 

The three calculations that come up most are total cost of ownership, ROI, and payback period. If the client is a software business, you should also know ARR, churn rate, LTV to CAC ratio, and net revenue retention. The arithmetic is no harder than a profitability case, but the metrics are different.

 

How much should I know about specific tools like AWS or SAP?

 

Know what they do at a high level and roughly where they sit in a company's tech stack. You should be able to say what AWS, Azure, SAP, and Salesforce are used for in 1 to 2 sentences each. You don't need to know configuration details or pricing tiers.

 

How many practice cases do I need before my interview?

 

Aim for 20 to 30 total cases before your first interview, with roughly 5 to 10 of them being technology-focused. Quality matters more than quantity. One case with detailed feedback is worth 3 cases done alone.

 

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