
Profitability cases are a staple in McKinsey interviews because they test your skill in isolating root causes from symptoms. The Manila office's work with BPO and service firms makes this a realistic scenario for local candidates.
Start by clarifying whether the margin decline is due to cost increases, price decreases, or both. Use a profit framework, then drill down into the most impactful levers with hypotheses and data requests. Be sure to ask about the client's competitive position and operational metrics like seat utilization and attrition.
First clarify whether the margin decline is coming from pricing pressure (lower per-seat or per-contract rates), rising costs (wage inflation, attrition-driven hiring and training costs, real estate or utility increases), or a shift toward lower-margin service lines, or some combination. Request specific operational data: seat utilization rate, attrition rate and cost per hire, average revenue per seat, and the terms of recent contract renewals. Since many BPO contracts are USD-denominated while costs are peso-based, also check FX exposure as a possible driver. Compare the client's pricing and cost trends against competitive dynamics, are other outsourcing hubs or providers undercutting on price. Once the data isolates the one or two dominant drivers, for example attrition-driven cost increases or unfavorable contract repricing, propose targeted fixes: renegotiate contract terms at the next renewal, invest in retention to reduce attrition costs, improve seat utilization through better scheduling, or automate lower-value processes to protect margin without cutting headcount indiscriminately.
"I think maybe the problem is the employees? They are not working hard maybe? So we should just cut salaries or fire people?" , oversimplification and a lack of analytical rigor, coupled with a punitive mindset, misses the need for diagnostic depth.
Situation
During a consulting bootcamp case competition, my team was given a similar scenario with a local logistics provider suffering margin erosion.
Task
I was responsible for leading the quantitative analysis and synthesizing our recommendations.
Action
I structured our approach around a profit tree, breaking down costs into fixed vs. variable and revenue into price vs. volume. I hypothesized that rising employee attrition was increasing recruitment and training costs, while client price concessions to retain business were compressing revenue per FTE. We tested these using limited data: we calculated the cost-per-hire from HR metrics, estimated training time loss from agent ramp-up curves, and compared bill rates from recent contracts. We also segmented the client base by profitability and found that 30% of clients were on legacy contracts with margins below target.
Result
Our analysis pinpointed a 12% point margin leakage from high-turnover low-productivity accounts. Our recommended three-pronged strategy, renegotiate out-of-scope work, invest in predictive attrition analytics, and exit the bottom-quartile clients, was judged the most actionable by the partner panel, earning my team first place.
A structured issue tree combined with segmentation is incredibly powerful in breaking down a complex profitability problem into testable hypotheses.
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