Skip to main content

Strategy Making with a Fact Based Approach without Facts

One of my first tasks as I came back from maternity leave was to conduct a strategic review of one of our businesses, one where we have consistently under-performed. 

The premise is simple, we should have everything to succeed in this business, what is wrong then! We stopped buying that the market was slow a long time ago, as competitors deals kept being thrown in or face. We knew we had a structural problem but when we asked the team for a business plan, we got a pipeline back.

Given I was reading the #leanstartup while doing this, I decided to apply a fact based approach, whereby I started from basic assumptions to question the team. After a first round focused only on market size and product details, the claim continued to be lack of transparency on the numbers. The discussion jump started to a business mix debate, as it became enlightening that people had very opposed views about why we should be pursuing different parts of the business. Diagnostic 1: no-one agrees with each other. I kept an open mind, got all the opinions/ facts and went back to the drawing board

I was adamant about testing the big assumptions so in our next meeting I went forward with a deep dive on one of the products, showing competitors performance, missed deals assessment, and any fact I could find that would help me characterize the market and where we were. Rather than a constructive discussion we quickly ensued into a protectionism defensive meeting where my ability to get the team to engage was losing steam. The team constantly bombarded us with client examples that should serve as proof they know the market. More and more I got the feeling those were just examples and not the market. We got nowhere close to the segmentation and targeting I was hoping before. Rarely before had I encountered such resistance to showing data. Diagnostic 2: no-one believes in data , even when available

As a strategist but not product owner, getting the right data is the most crucial but also most difficult thing. You also lack the product expertise or client view, as you are not in the market, and both you, and the teams, can discount the whole exercise heavily in those circumstances. I hit a wall as I realised the team were going to come up with a plan to cover identified gaps, mostly in external factors. I was stuck as the team refused to acknowledge what was a highly likely gap - the client segmentation and focus of the teams and coverage model. I was utterly frustrated that I had no facts to prove this problem. The plan had to fail this way. Diagnostic 3: no-one takes the blame,

I went back to the drawing board. How can one follow a fact based approach identifying gaps in an opaque market? I went for ignorance. I defined which answers I needed and went for 2 pages full of questions, targeted and simple, in order to get the team to re-engage. I told them I did not care about what we could not do, but about what we could do. I wanted to play to our strengths and address what we could in our weaknesses. The approach worked, and we came out of it with a constructive plan. Not one that I think can succeed, but a step in the right direction.

Comments

Popular posts from this blog

The trouble with data

I a bit of a data freak. I like my data, preferably correct. I feel like James Bond as he approaches the bar. How do you like your data? "Accurate, not Cut". That would be me. I don't take it re-worked, re-cut or in extracts. I take it raw so I know what it is, what it means, what it tells me, what flaws it has. The problem with data is that people more often than not do not understand what they are looking at. You asked for a piece of analysis and someone sends you a chart and you take it as it is. You believe you have done the right question and the person has interpreted what you were after the write way, extracted what you intended. A whole bunch of assumptions which my time working inside an organization (other than in the client facing side of the business) has taught me are mostly flawed. When we start looking at a problem, most likely we don't really know what we are after. We feel that there is some data that illustrates our story but really

Due Diligence: The Art of 100 Questions (to start with...)

It is one of those stories that the old days come back to haunt you. I started my career as a Banker and am no stranger to due diligence lists. I have been both on the receiving end and in the creative end of those. I have created data rooms to respond, massive excel spreadsheets, and have trolled through data rooms to find more information. I have mention this before, I am always data hungry. For those paying attention you might ask - but aren't you done with your banking years and off due diligence lists? Well, not really. First, I was never entirely out of due diligence. In fact, I apply due diligence as a modus operandi for challenging the status quo. I just start looking at the numbers, and then ask question #1, which inevitably leads to #2 and is inevitably linked to #3. It does not take a form of an excel spreadsheet and I don't get answers back via data rooms, but the concept is constant - a truly inquisitive nature with the purpose of understand and evalua