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Skills Needed for Capabilities and Insights Role

I'm currently in the final round of interviews for a Capabilities & Insights role in the U.S. During a previous interview, I received feedback that I should demonstrate stronger technical expertise in research methods. Does anyone have insight into which research methods are most commonly used or valued in this type of role?

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Mariana
Coach
12 hrs ago
Free CV evaluation | xMckinsey | 1.5h session | +200 sessions | Free 20-min introductory call

Hi there!

See below some findings based on chatGPT and google research, that make sense considering my experience working with researchers at McKinsey.
Try to understand more of the different types of research mentioned, I believe the stat part (experiments, samples, etc) is relevant, as well as how to structure a broad research.

  • Quantitative Research:

    Focuses on numerical data and statistical analysis to establish relationships between variables. 

     

    • Examples: Surveys, experiments, correlational studies. 

       

  • Qualitative Research:

    Emphasizes in-depth understanding of experiences, perspectives, and meanings through non-numerical data. 

     

    • Examples: Interviews, focus groups, observations, case studies. 

       

  • Mixed-Methods Research:

    Combines both quantitative and qualitative approaches to gain a more comprehensive understanding of the research topic. 

     

Common Research Methods and Techniques:

  • Surveys: Structured questionnaires used to collect data from a large sample of participants. 

     

  • Interviews: Gathering in-depth information through conversations with individuals, categorized as structured, semi-structured, or unstructured. 

     

  • Observations: Observing and recording behaviors or events in a systematic manner. 

     

  • Experiments: Manipulating variables to establish cause-and-effect relationships, often involving control groups. 

     

  • Case Studies: In-depth investigations of a single individual, group, or event. 

     

  • Secondary Data Analysis: Utilizing existing data sources like research papers, reports, or archives. 

     

  • Focus Groups: Group discussions facilitated to gather qualitative data on a specific topic. 

    Best,

    Mari

edited on Jul 02, 2025
Ex-BCG Principal | 8+ years consulting experience in SEA | BCG top interviewer & top performer

Hi,

Could you share more context on the company you are applying for and the specifics of the role (e.g. which team), and what questions were asked of you in the interview. 

Without any of the above that it's hard for anyone to actually tell you what 'research methods' specifically mean. 

It sounds like you are applying for a role in a team that will have some aspect of customer research/insight generation? If that's the case it could be things like 

  • e.g. understanding how to scope out and conduct your data gathering -> what would be the quotas? how would you define the sample size?
  • e.g. understanding technicalities of surveys -> what are the pros and cons of different questions types say between an open ended text response versus slider? How would screen for bad responses?
  • e.g. methods to get to insights -> K-means vs max-diff etc
55 sec ago
#1 Rated McKinsey Coach | Top MBB Coach | Verifiable success rates

Hi there, 

I'd be a bit more 80/20 with this one and just try to get in touch with people who are now in that role, and have ideally joined recently (<2 y of tenure) and get a sense from them of what research skills are necessary.

Then you could brush up your knowledge specifically on those things. 

How do you do that?

You go on Linkedin and try to source those contacts. The article below explains how. Then you reach out to several of them. Not all of them answer. Out of those who will, some will be ok with connecting with you. Have a chat with them and get a sense of how they went about their prep to be successful in the interview.

Best,
Cristian

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