Porter's Value Chain
Break a company into the activities it actually performs, then find which ones make money and which ones bleed it.
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The gist
- →Break the company into the real activities it performs (5 primary + 4 support), then attach cost AND customer value to each box
- →Make the numbers add up: split total cost across activities, then benchmark each one against a specific rival, not last year
- →The best answers come from linkages: an expensive symptom in one activity is usually caused upstream (e.g. cheap spot yarn wrecking dye yields)
- →End with three sized levers per weak activity: cut cost, invest to differentiate, or restructure (outsource, integrate, exit)
The framework at a glance
When to use it
Reach for the value chain when the case is about how a company operates rather than which market it should enter. Classic triggers: "our costs have risen faster than our competitor's and we don't know why", "our margins are lower than the industry despite similar prices", "should we make this in-house or outsource it", "should we acquire our supplier or our distributor", "where should we invest to build an advantage rivals cannot copy", "we want to cut 15 percent of cost without hurting the customer", or any diagnostic where you have already used a profitability tree, found the problem is on the cost side, and now need to break costs down by activity rather than by accounting line. It is also the cleanest way to answer "what is this company actually good at" in due-diligence or turnaround cases, and it pairs naturally with a profit pool analysis when you want to know which stage of an industry captures the money.
What it is
Porter's Value Chain, introduced by Michael Porter in his 1985 book Competitive Advantage, starts from a simple but powerful idea: a company is not a single blob that "has costs" and "has a strategy". It is a chain of discrete activities, and every one of those activities consumes resources and either adds value the customer is willing to pay for, or does not. Competitive advantage is never company-wide in origin. It always traces back to specific activities being done cheaper, better, or differently than rivals do them.
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Porter splits those activities into two groups. The five primary activities are the ones that physically touch the product or the customer: inbound logistics (getting raw materials in and storing them), operations (converting inputs into the finished product or service), outbound logistics (getting the finished product to customers), marketing and sales (making customers aware and getting the order), and service (installation, repair, training, warranty, everything after the sale). The four support activities enable the primary ones: procurement (how you buy inputs, including supplier relationships and contracts), technology development (R&D, process engineering, IT systems, automation), human resource management (hiring, training, retention, incentives), and firm infrastructure (finance, legal, planning, quality, top management). Whatever is left after the total cost of all nine is subtracted from what customers pay is what Porter calls margin.
Two things make the framework more than a list. First, cost and value must be assigned activity by activity, not to the company as a whole, which is what turns a vague "our costs are too high" into "62 percent of our cost sits in one stage and we have never benchmarked it". Second, linkages matter as much as the boxes: cheap inputs bought by procurement can wreck yields in operations, and a design decision in technology development can wipe out a service cost forever. The best value chain answers in a case usually come from a linkage, not from a single box. Note also that the firm's value chain sits inside a larger industry value system running from raw material producers through to end consumers, which is why this framework is the natural starting point for vertical integration, make-versus-buy, and outsourcing questions.
How to apply it, step by step
- 1
Define the business unit and the product you are chaining
A value chain belongs to one business unit and one product or service line, never to a diversified group. A dairy conglomerate's milk pouch chain and its ice cream chain are different chains with different economics. State clearly what you are mapping, for example "the export knitwear unit, cotton t-shirts, FOB to European buyers", before you draw a single box. Getting this wrong is the fastest way to produce a mush of averages that hides the real problem.
- 2
Map the actual activities, not the textbook nine
Walk the product from raw input to the customer's hands and name the real steps the company performs. For a garment exporter that is yarn purchase, knitting, dyeing, cutting, stitching, checking, packing, freight to port, documentation. For a hospital it is patient acquisition, admission, diagnostics, procedure, in-patient care, discharge, follow-up. Use Porter's nine categories as a checklist so you do not drop a support function, not as the labels you present.
- 3
Attach cost to every activity and make the numbers add up
Split total cost across the activities so the pieces sum to 100 percent, or build a per-unit cost stack that sums to the selling price minus margin. If the interviewer gives you a P&L, translate accounting lines (salaries, power, freight) into activities, since one accounting line often spans several activities. This step is what turns the framework from a diagram into analysis, and it is where most candidates stop too early.
- 4
Ask what each activity adds that the customer would pay for
Cost alone tells you where money goes, not where value comes from. For each activity ask whether the customer would notice or pay more if it were done better, and whether they would notice at all if it disappeared. Activities that are expensive and invisible to the customer are cut or outsource candidates. Activities that are cheap but decisive for what the customer buys are investment candidates.
- 5
Benchmark each activity against the relevant competitor
Advantage is relative, so compare activity by activity against the specific rival or the industry best, not against last year. Ask the interviewer for competitor cost structure, yield rates, headcount ratios, or lead times. The output you want is a short list like "we are at parity on stitching, 40 percent worse on dyeing rework, and 300 basis points worse on sales commission", because that list is the answer.
- 6
Hunt for linkages and for the stage that captures industry profit
Check whether a problem in one activity is caused by a decision elsewhere, upstream or in a support function, since fixing the symptom stage is usually wasted money. Then zoom out to the industry value system, from raw material to end consumer, and ask which stage earns the fattest margin. That is the profit pool view, and it is what makes vertical integration and channel questions answerable rather than hand-wavy.
- 7
Convert findings into three levers: cut, differentiate, or restructure
Each weak activity gets one of three verdicts. Cut cost where the activity is expensive and undifferentiating, for example renegotiating procurement or eliminating rework. Invest to differentiate where the activity is what the customer buys on, for example service turnaround time. Restructure where the company should not be doing the activity at all, meaning outsource it, integrate into the stage that earns the margin, or exit. Size each lever in rupees or basis points of margin so the recommendation is prioritised, not just a list.
Worked example
A family-owned knitwear exporter in Tiruppur, Tamil Nadu, ships about 12 million cotton t-shirts a year to European retailers at an average FOB price of 3.20 US dollars per piece. Net margin has fallen from 6 percent to roughly 2 percent over three years, while a comparable Bangladeshi supplier quotes 2.95 dollars and still earns 6 percent. The promoter's instinct is that stitching labour has become too expensive and he wants to move the tailoring floor to a lower-wage district. He asks you to confirm before he signs the lease.
Scope the chain
One business unit, one product: basic cotton t-shirts, FOB Tuticorin, European buyers via buying agents. Not the domestic brand business, which has completely different marketing and outbound costs and would pollute the averages.
Build the per-piece cost stack by activity
Yarn and greige fabric (procurement plus inbound logistics) 1.60 dollars. Knitting, dyeing and processing (operations) 0.55. Cutting and stitching, largely job-worked out (operations) 0.45. Trims and packing (procurement) 0.15. Freight to port and export documentation (outbound logistics) 0.12. Buying-agent commission at 5 percent of FOB (marketing and sales) 0.16. Overheads including compliance audits, finance and HR (support activities) 0.10. Total 3.13, leaving 0.07 of margin on a 3.20 price, which is the 2 percent.
Test the promoter's hypothesis first
Stitching is 0.45, only 14 percent of cost, and the Bangladeshi rival's stitching cost is estimated at 0.36. Relocating the tailoring floor might recover 0.05 per piece at best, against a year of disruption and retraining. The 0.25 dollar price gap simply cannot be explained by stitching. The promoter's plan addresses roughly one-fifth of the gap for most of the risk, so the hypothesis fails on arithmetic before you touch anything else.
Benchmark the rest of the chain and find the real leak
Two activities are badly out of line. Dyeing rejects and reprocessing run at 12 percent of output against an industry norm near 4 percent, loading roughly 0.09 per piece of hidden rework into the 0.55 operations cost. And yarn is bought on the spot market whenever an order lands, so the exporter absorbs every cotton price spike, costing an estimated 0.07 per piece versus a rival buying on three-month contracts. Add the 0.16 buying-agent commission, which the Bangladeshi rival largely avoids by selling direct to two brand accounts.
Check linkages before recommending anything
The dyeing rework is not a dyeing problem. In-line quality control, a support activity, was cut two years ago, and the spot-bought yarn arrives with inconsistent staple length, which is exactly what causes uneven dye uptake. Procurement is therefore causing the operations loss. Investing in the dyehouse alone would not have worked, which is the single most useful insight in the case.
Size and prioritise the levers
Lever one, move 70 percent of yarn to contracted supply with a single spinning mill on agreed staple specifications: saves roughly 0.07 on price volatility and cuts rework by more than half, worth about 0.05 more, so roughly 0.12 per piece. Lever two, restore in-line quality checks at dyeing at about 0.01 per piece of added cost to protect that gain. Lever three, shift 30 percent of volume to two direct brand accounts over eighteen months, saving 0.16 of commission on that slice, worth about 0.05 blended. Total identified recovery is roughly 0.16 per piece, taking margin from about 2 percent to about 7 percent, which on 12 million pieces is close to 19 crore rupees a year.
Recommend and flag risks
Do not relocate stitching. Fix procurement and quality first because it is the cheapest and fastest lever, then build direct accounts. Risks to monitor: single-mill dependence for yarn, buying agents retaliating by moving other orders away during the transition, and the design and customer-service capability the exporter must build in-house to hold a direct brand relationship.
Takeaway: The value chain earned its keep by refusing to accept the client's own framing. Costs were not high in the activity management was staring at; they were leaking from a support function that had been quietly cut and from a sales channel nobody had priced. That is the pattern to remember: map the chain, attach the numbers, then look for the activity whose problem was created somewhere else.
More worked examples
Worked example: why Zara pays more to make a t-shirt and still earns a better margin+
Zara (Inditex) is repeatedly held up as the textbook value chain case because it deliberately runs several activities more expensively than its rivals. A newly hired finance director looks at the numbers and proposes the obvious move: shift the roughly half of volume still cut and stitched in Spain, Portugal, Morocco and Turkey to Bangladesh and Vietnam like H&M and most of the industry do, on the argument that unit manufacturing cost there is materially lower. Use the value chain to test whether that saving survives contact with the rest of the chain. All figures below are publicly discussed orders of magnitude, rounded and illustrative, not audited line items.
Design-to-store cycle (approx)
2 to 4 weeks vs 6 to 9 months industry
Advertising spend (approx)
about 0.3% of sales vs 3 to 4% industry
Gross margin (approx)
high 50s percent of retail sales
Proximity-sourced volume (approx)
roughly half, Spain, Portugal, Morocco, Turkey
Offshoring saving vs markdown cost (illustrative)
about 2 euro saved vs 4 to 6 euro lost per 100 euro of sales
Scope the chain to one unit and one product
Map Zara womenswear apparel sold through European own stores, not the Inditex group. Zara Home, Bershka and the franchise markets have different sourcing, different store economics and different markdown behaviour, and averaging them would hide exactly the trade-off in question. Fix the unit of analysis as one garment sold at retail, and express every activity as a share of 100 euro of retail sales so the pieces add up to the price the customer actually pays.
Map the activities Zara really performs
Walk the garment from idea to customer: trend capture inside stores (store managers and RFID-tracked sell-through feeding a central commercial team daily), in-house design by a large internal design pool rather than outsourced studios, fabric procurement where a big share of cloth is bought greige and undyed, cutting in owned facilities in Galicia with stitching pushed out to nearby workshops and cooperatives, quality check and tagging at the central logistics hubs in Arteixo and Zaragoza, twice-weekly shipment to every store worldwide including air freight to distant markets, and the store itself doing the job that advertising does for everyone else. Note what is missing versus the textbook: there is almost no marketing activity and almost no after-sales service activity.
Attach cost to each activity per 100 euro of retail sales
Roughly 42 to 43 euro of every 100 euro of retail sales is cost of goods, leaving a gross margin in the high fifties. Operating costs of about 35 euro are dominated by store occupancy and store staff, since Zara buys prime high-street and prime-mall locations, with distribution and logistics at roughly 4 to 5 euro. Advertising is the striking line: around 0.3 euro, against an industry norm nearer 3 to 4 euro. What is left is a net margin in the low-to-mid teens, well above the single-digit or low-teens numbers typical of the sector. The stack immediately shows the shape of the strategy: three activities are run rich (operations near home, logistics, retail real estate) and one is run at almost zero (marketing).
Ask what each activity adds that the customer pays for
Run the two-part test on each box. Would the customer notice if it were done better, and would she notice if it disappeared. Fabric sourcing and stitching: invisible, the customer cannot tell where a basic tee was sewn. Newness and availability: decisive, the Zara shopper visits far more often than the average apparel shopper precisely because the assortment changes, and buys immediately because she has learnt the item may not be there next week. Store location: decisive, because the store is the advertisement. That sorting says offshoring the invisible activity looks free only if it does not damage the visible ones.
Benchmark activity by activity against a conventional retailer
Against a rival sourcing almost entirely from Asia on six to nine month lead times, Zara is worse on unit manufacturing cost, plausibly in the region of 15 to 20 percent more per garment on the proximity-made portion, and worse on freight because it ships small batches twice a week and air-freights to far markets. It is better on design-to-store cycle, weeks rather than months, better on the share of the season committed in advance, a minority of the collection versus the industry habit of locking most of it pre-season, and much better on markdowns, selling a far higher share at full price where the industry routinely discounts a third or more of units. It spends roughly a tenth of the industry rate on advertising.
Find the linkage, which is the whole answer
The expensive boxes buy the cheap boxes. Short lead times and undyed fabric held late in the chain mean colour and quantity decisions are made after real sell-through data arrives, which is why the pre-season commitment can be small, which is why unsold inventory and markdowns are low. Low markdowns are worth several points of gross margin, and on 100 euro of sales a markdown rate half the industry's is worth far more than the few euro of manufacturing cost saved by offshoring. Deliberate scarcity and constant newness generate store traffic on their own, which is what lets the advertising line sit near zero, which in turn funds the prime rents. Analysed as nine independent boxes, Zara looks badly run in three of them. Analysed as a linked system, the three expensive activities are the mechanism that makes two other activities almost free.
Size the finance director's proposal and decide
Suppose offshoring the proximity-made half of volume saves 15 percent of manufacturing cost. Manufacturing is inside a COGS of about 42 euro per 100 of sales, so the saving on half the volume is plausibly a couple of euro per 100 of sales. Now price the damage: lead times stretch from weeks to months, in-season replenishment on winners largely disappears, the pre-season commitment must rise sharply, and markdowns drift toward the industry norm. Moving markdowns from roughly 15 percent of units to roughly 30 percent costs several euro per 100 of sales on its own, before counting lost full-price sales on winners that can no longer be chased and the slow erosion of the traffic that substitutes for advertising. The saving is real and the cost is bigger, so the answer is no for fashion-risk items. The defensible version of the proposal is a split chain: keep proximity manufacturing for trend-led, short-life, high-markdown-risk garments, and offshore the basics that do not change season to season, which is roughly what Inditex already does.
Takeaway: Do not offshore the fashion-risk half of the range. The value chain shows that Zara's advantage does not live in any single activity, it lives in a linkage: expensive proximity operations and expensive logistics are what buy cheap inventory risk and near-zero advertising. The general lesson for a case is that an activity which benchmarks badly in isolation may be the paid-for enabler of two activities that benchmark brilliantly, so always price the linkage before you cut the box.
Worked example: an Indian EV two-wheeler maker losing 9,000 rupees on every scooter+
VoltEdge Mobility, a Pune-based electric two-wheeler OEM founded in 2021, sells about 8,000 scooters a month through 180 dealers, mostly in Maharashtra, Karnataka, Telangana and Gujarat. Net realisation to the company is about 95,000 rupees per scooter, while fully loaded cost per scooter is about 1,04,000 rupees, an EBITDA loss of roughly 9,000 per unit, or about 86 crore rupees a year. The CEO wants to raise the ex-showroom price by 6,000 rupees and claw back 3,000 from dealer margin. The board asks you to check before the price letter goes out. Figures are illustrative case numbers, not company disclosures.
Net realisation per scooter
about 95,000 rupees (illustrative)
Total activity cost per scooter
about 1,04,000 rupees (illustrative)
Battery pack share of cost
about 36,000 rupees, roughly 35%
Warranty per unit vs leader
about 8,000 vs about 2,500 rupees
Identified recovery
about 5,700 rupees per unit of the 9,000 gap
Scope the chain and fix the unit
One business unit, one product: the 2.5 kWh mass-market family scooter sold to retail customers through dealers, not the fleet variant sold to a delivery aggregator and not the charging-network subsidiary, both of which have different channel costs and different warranty exposure. Fix the unit of analysis as one scooter delivered to a dealer, and build a cost stack that must reconcile to the 95,000 rupee net realisation so the analysis cannot drift into averages.
Map the real activities and attach cost to each
Per scooter, approximately: imported cells 30,000 and BMS plus pack assembly 6,000 (procurement and operations), motor, controller and harness 13,000, chassis, plastics, suspension, tyres and brakes 16,500, inbound freight, customs clearing and warehousing 2,500, assembly conversion cost of 10,500 covering labour, power and plant overhead, outbound logistics to dealers 2,200, marketing and sales 6,300 covering dealer incentives, digital spend and test-ride events, service and warranty provision 8,000, technology development amortised at 5,000, and firm infrastructure including finance, legal, homologation and HR at 4,000. That totals about 1,04,000 against 95,000 of realisation. Two numbers jump off the page: the battery pack is 36,000, about 35 percent of cost, and warranty is 8,000, which is more than the loss itself.
Test the CEO's hypothesis before doing anything else
The price lever fails on competitive arithmetic. The category leader retails a comparable scooter at roughly 1.05 lakh ex-showroom against VoltEdge at 1.10 lakh, and the buyer here is a first-time EV customer cross-shopping a 90,000 rupee petrol Activa, so demand is visibly EMI-sensitive. A 6,000 rupee increase widens an already adverse gap and, at even a 12 percent volume drop, worsens the fixed-cost absorption problem that is causing part of the loss. The dealer lever is worse: VoltEdge already pays about 9 percent margin against the 11 percent an ICE two-wheeler dealer earns, and dealers are the only people running test rides, which the company's own funnel data says convert the majority of buyers. Both of the CEO's levers attack activities that are not the problem.
Benchmark activity by activity against the market leader
The leader sells around 40,000 units a month. Its pack lands near 28,000 because it buys matched cell batches on an annual contract from a single Tier-1 supplier rather than spot lots from a trader. Its conversion cost is near 5,000 because its plant runs at about 80 percent utilisation while VoltEdge runs at 42 percent, so VoltEdge is spreading the same shed, the same line and the same supervisors over less than half the volume. Most striking, the leader's warranty provision is about 2,500 per unit against VoltEdge's 8,000. The gap list is therefore conversion 5,500 worse, warranty 5,500 worse, pack 8,000 worse, and roughly at parity on everything else. That list, not the price letter, is the case.
Decompose the warranty number and hunt the linkage
Break the 8,000 open: pack and BMS related claims are about 3,700, because roughly 12 percent of units throw a pack or BMS fault in the first 18 months at an average claim cost near 31,000 including labour and freight; controller and motor claims 1,400; reimbursed free-service labour 1,600; roadside assistance and goodwill 1,200. Now trace the cause upstream. Cells are bought spot in container lots from a trader, so a single pack can contain cells from different production batches with different internal resistance, and the first-generation BMS has passive balancing only and no proper thermal management. That is a textbook recipe for cell-to-cell imbalance, and it means the warranty cost is not a service problem at all. It was created in procurement and in technology development, two boxes nobody was looking at. A second linkage compounds it: only about 60 of the 180 dealers have a trained EV technician, so most failed packs are freighted back to Pune, adding roughly 2,000 of reverse logistics per claim and an 11-day turnaround that damages word of mouth in a category sold on trust.
Size and sequence the levers
Lever one, move to a single Tier-1 cell supplier on matched-batch supply, add a cell grading and matching step at pack assembly, and upgrade to an active-balancing BMS. This cuts the claim rate from about 12 percent to about 4 percent, saving roughly 2,500 per unit, against added BOM and equipment cost of about 950, so net about 1,500. Lever two, stand up four regional pack-repair hubs instead of shipping packs to Pune, saving about 700 per unit of reverse logistics and cutting turnaround from 11 days to about 3. Lever three, and the largest, fill the plant: contract-assemble roughly 3,000 units a month of a fleet-spec scooter for a delivery aggregator, which lifts utilisation past 70 percent and pulls conversion cost from 10,500 toward 7,000, worth about 3,500 per unit. Identified recovery is about 5,700 of the 9,000 gap. The remaining 3,300 comes from the pack contract repricing as annual volume roughly doubles, which is a consequence of lever three rather than a separate initiative.
Recommend, and name what must not be cut
Do not raise price and do not touch dealer margin. Fix procurement and BMS design first because it is the fastest payback and it stops the bleeding at source, run the service hubs in parallel because they protect the brand while the design fix works through the installed base, and sign the fleet contract because volume is the only lever big enough to close the conversion gap. Explicitly protect the 6,300 marketing and sales line even though it benchmarks high against the leader's roughly 3,000, because test rides are the conversion mechanism in a category where the customer is still nervous about range and resale, and the leader gets awareness free from a brand VoltEdge does not have. Risks to flag to the board: single-supplier dependence on cells, a possible retrofit or recall provision for the roughly 90,000 units already on the road with the old BMS, and the margin dilution and capacity crowding that come with fleet volume.
Takeaway: The loss is not a pricing problem and not a dealer problem. Mapping cost by activity showed that two thirds of the gap sits in an under-utilised plant and in a warranty line whose root cause lives upstream in spot cell buying and a weak BMS design, so the levers are a cell contract plus a BMS upgrade, regional repair hubs, and fleet volume to fill the factory, in that order. The transferable move is the one the framework forces: when an activity benchmarks badly, decompose it and ask which other box created it, because the service line was only ever the place where a procurement and engineering decision showed up on the P&L.
Common pitfalls
- •Reciting the nine boxes and stopping. Naming inbound logistics, operations, outbound logistics, marketing and sales, and service earns nothing on its own. The framework becomes analysis only when you attach cost, value and a competitor benchmark to each box, so treat the list as a checklist for yourself, not as the answer you deliver.
- •Using it for the wrong case type. The value chain is an internal, operations-and-cost lens. If the question is about market attractiveness, competitor entry or industry structure, you want Porter's Five Forces or a market sizing instead. Candidates who confuse the two Porter frameworks lose credibility instantly.
- •Forgetting the support activities. Most candidates map the five primary steps and skip procurement, technology, HR and infrastructure entirely, which is exactly where a surprising share of real problems live: a hiring freeze, a scrapped QC function, an ancient ERP, an unhedged input contract.
- •Treating the boxes as independent. The interesting answer is almost always a linkage, where a cheap decision upstream or in a support function creates an expensive symptom downstream. Analysing each activity in isolation produces a tidy but useless list of small fixes.
- •Ignoring the customer's willingness to pay. An activity can be cheap and still be the wrong place to economise if it is the reason customers choose you. Cost-per-activity without value-per-activity leads to recommendations that save money and lose the business.
- •Producing a generic chain and an unsized list of fixes. If your chain would fit any company in any industry you have not done the work, and ten unquantified improvement ideas read as noise. Three levers with rupee impact and an order of execution read as a consultant.
Interview tips
- •Say the trigger out loud so the interviewer knows why you chose it: "since the problem is on the cost side and revenue is flat, I want to break costs down by the activities the company actually performs rather than by accounting line". Framework selection reasoning scores as much as the framework itself.
- •Customise the chain in the first sixty seconds. Replace the textbook labels with the client's real steps before you present your structure. "For a hospital I would look at patient acquisition, diagnostics, the procedure itself, in-patient care and discharge follow-up" signals industry sense that a generic five-box list never will.
- •Always ask for a cost split by activity and for one competitor benchmark. These two data requests unlock most value chain cases, and interviewers usually have both sitting in their notes waiting for you to ask.
- •Lead with a hypothesis about which activity carries the problem, then use the chain to test it rather than to browse. "My hypothesis is the loss sits in processing because it is the most capital-intensive step, so let me check its cost share and yield first" is far stronger than sweeping left to right.
- •Look explicitly for a linkage before recommending, and say so. Naming the upstream cause of a downstream symptom is the single move that most reliably separates a good answer from a great one in this framework.
- •Zoom out to the industry value system and then close by sizing your levers. Asking which stage from raw material to end consumer captures the fattest margin sets up integration and channel recommendations, and converting each lever into rupees or basis points of margin turns your analysis into a prioritised recommendation.
Test yourself
Best video explainers
Porter's Value Chain Explained
EPM
The most thorough free walkthrough at about fifteen minutes, going activity by activity with worked business examples rather than just naming the boxes. Start here if you have never seen the framework.
Value Chain Analysis EXPLAINED | B2U | Business To You
Business To You
Clean animated explainer from a well-known strategy channel, strong on the margin logic and on how the firm's chain sits inside the wider industry value system. Best for locking the visual into memory before an exam or interview.
Value chain analysis example | Design the value chain you need | Management consulting
firmsconsulting
A practitioner's view from a consulting-training channel: how consultants actually design and use a value chain on a live engagement, which is much closer to what an interviewer wants than the academic version.
Value Chain Analysis - Developing Management Consulting Skills
firmsconsulting
Treats the chain as a consulting skill rather than a diagram. Watch once you know the nine activities and want to see how the analysis gets structured in real client work.
Michael Porter's Value Chain Model Explained
Procurement Tactics
A recent, concise refresher that is unusually good on the procurement and supplier side of the chain, which most explainers rush past and which shows up constantly in cost cases.
Go deeper
Porter's Value Chain
Institute for Manufacturing, University of Cambridge
Short, rigorous, university-hosted description that frames the chain as a systems view of the firm with inputs, transformation and outputs. Free and free of vendor spin.
Porter's Value Chain - Strategy Training from EPM
Expert Program Management
The written companion to the best free video on this list, with each of the nine activities broken out and a step-by-step method for running the analysis yourself.
The Value Chain - Consulting Case Analysis
PrepLounge
The case-interview-specific angle: which case prompts should trigger this framework, how to keep the breakdown MECE, and how to pair it with SWOT or a profit pool analysis.
What Is a Value Chain Analysis? 3 Steps
Harvard Business School Online
A compact three-step method for running the analysis, from the school where Porter teaches. Useful as a last-minute checklist before an interview.
Now use it on a real case
Reading a framework isn't the same as applying it under pressure. Practise with an AI interviewer that pushes back.
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