{ "media_type": "text", "post_content": "Friday thoughts on Strengths vs weaknesses: I have been told that I am solid in quant, but need development on the creative side of things - brainstorming, strategic frameworks, maybe even writing.\n\nIf this situation can be improved, what should I do? books or videos or exercises? This doesn't seem easy to tackle at all...\n\nIf this just reflects how I am like, does it mean I'm not fit for consulting in the longer haul (looking at SC, PM max)? Or perhaps I should focus on DD type of consulting?", "post_id": "60c40ca1736e2000215acacf", "reply_count": 6, "vote_count": 3, "bowl_id": "552d1d24dc1c586b09d2d051", "bowl_name": "Consulting" }

Friday thoughts on Strengths vs weaknesses: I have been told that I am solid in quant, but need development on the creative side of things - brainstorming, strategic frameworks, maybe even writing. If this situation can be improved, what should I do? books or videos or exercises? This doesn't seem easy to tackle at all... If this just reflects how I am like, does it mean I'm not fit for consulting in the longer haul (looking at SC, PM max)? Or perhaps I should focus on DD type of consulting?

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I hate to be harsh but they are saying you have no future in consulting.

Being "quanty" can mean many things, but let's assume it means you look to math for tidy solutions. Another way to say that is you're more comfortable with things being deterministic. We from the STEM world, especially engineering, are often predisposed that way. If that's you, then one pivot you can make is to realize you can be directionally correct and / or situationally on point. The former is about approximations, the latter is about frameworks. Frameworks are really nothing more than ways of organizing a set of facts so you can arrive at a decision. So you can learn both, approximations and frameworks.

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Comfy with creating complicated excel models (discounted cash flow) and business plans. But qualitative assessment and creating strategic frameworks could be a challenge. Any tips on how to improve this? It's just not natural for me, as in it takes effort for me to think if it makes sense

So you're good with DCF models. Consider the inputs to your model, and how the model's outputs are used. Group the inputs in different combinations, perhaps driven by exogenous factors. Those factors will be driven by different assumptions, and model results will drive specific decisions. Now you've got a framework. Assumptions -> factors -> model outputs -> decisions Note that in all this, you won't be 100% correct on everything. That's what I mean by non deterministic. However, you can be correct enough to drive informed decisions. That's being situationally on point. These things are all learned with practice.

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