I have an assessment centre for a Consultant role with a firm that works closely alongside engineering and product teams, focusing on operational diagnostics, data quality, and improving how complex product development processes run in practice. I have noticed so far in the process that questions are focused on product development, data, and operational diagnostics, rather than on strategy, with a delivery-focused approach. During the day, I have a group problem‑solving task and a technical assessment focused (from what I have gathered) on synthesising complex information (not high-level Excel skills or market sizing). The assessment centre is also hiring for Data Analyst roles, if that’s any more insight. I wondered if anyone had advice on which case frameworks, data interpretation approaches, or practice resources would best prepare me for this style of operational, implementation‑focused consulting? This will also be my very first assessment centre.
Thank you!
What types of case frameworks, data interpretation approaches, or practice resources would best prepare me for operational, implementation‑focused consulting
Drop strategy-first frameworks like Porter's Five Forces or market entry. This firm wants delivery-side thinking.
you could use
- Process flow decomposition - map the product development lifecycle step by step, find where delays, rework, or quality issues happen
- Root cause analysis (5 Whys / fishbone) - trace a symptom (e.g. bad data, missed deadlines) back to its real cause across people, process, tools, and data
- Input-process-output (IPO) - ask: what goes in, what happens to it, and what comes out? Useful for diagnosing any engineering or product workflow
- always MECE issue trees - structure problems around four buckets: speed, quality, cost, capability
The test is about reading messy information and telling a story from it, not calculating. Focus on:
- Spot what is wrong and why it matters - is the data incomplete? Inconsistent? Out of date? Then link it to a real business consequence
- Lead with the insight, not the observation - say "the handoff between teams is causing rework" before you say "I noticed the error rate rises at stage 3"
Contribution style matters as much as content:
- Suggest a shared structure before the group dives in
- Signal when you are building on someone or challenging an assumption
- If the group gets stuck, step in to summarise and reframe - that is process leadership, and assessors value it
It's great you're doing your research for your first assessment center, and you've accurately identified a common difference in how operational firms approach cases compared to pure strategy houses. Your observation about the focus on product development, data, and diagnostics is spot on for this type of role.
Here's the reality: they aren't looking for you to spout MECE market-sizing frameworks. Instead, they want to see how you dissect a system or process to find bottlenecks, inefficiencies, and quality issues. The fact they're also hiring for data analysts reinforces that they value structured thinking around data and its practical application. They're testing your ability to understand complex workflows and identify points of failure or improvement.
Rather than generic strategy frameworks, think about approaches like process mapping (e.g., SIPOC, swimlane diagrams, value stream mapping) to visualize workflows, and structured root cause analysis (e.g., 5 Whys, Fishbone diagrams, fault tree analysis) to get to underlying issues. For data interpretation, focus on turning raw information into actionable recommendations for process change or quality improvement, not just reporting numbers. Practice articulating how you'd implement a solution, not just propose one. For the technical aspect, think about how you'd structure data to diagnose a problem rather than just reporting it.
Focus on showing your structured problem-solving through a delivery lens. Good luck!
Here is what I actually see when candidates prepare for this type of role. They go deep into strategy frameworks like profitability trees and Porter's Five Forces. That stuff will not help you here.
Your assessment centre is testing whether you can take messy, incomplete data and figure out what actually matters. Not Excel skills. Not market sizing. More like: here is a product development pipeline with 15 data points, where is the bottleneck?
Get comfortable with process maps and value stream thinking. When you see operational data, ask:
- Where is time being wasted?
- Where are handoffs breaking down?
- Is this data even measuring the right things?
Where to focus your prep:
- Root cause analysis. Practice asking "why" multiple times before jumping to a fix. Fishbone diagrams, the "5 Whys" approach.
- Reading messy data critically. What story does this tell? What is missing? Would I trust these numbers?
- Being a good structurer in groups. Say "let me suggest we break this into three parts" and then actually listen. Structure plus collaboration is rare, and assessors notice it.
Your job is to be the person who keeps asking "what is actually causing this" rather than jumping to solutions. That diagnostic instinct is exactly what they want. Skip traditional case prep books and YouTube walkthroughs. They are built for McKinsey and BCG strategy interviews. Not where your time should go.
One last thing. The day is long and they are watching you across every touchpoint. Be the same person in the group task, the technical test, and the coffee break. Genuine and low ego beats performing confidence every time.
Hope this helps, and good luck.