Is your company on autopilot?
(see below for photo credit)

Is your company on autopilot?

(Photo by?Cédric Dhaenens?on?Unsplash)


Do you have a minute? Look around your company and ask yourself: "Why are we doing this?"


I mean, yes, there's the obvious answer of: "we're working so we can earn money and pay our bills." I get that. But I'm asking something else.

I'm asking whether you're on autopilot.


Hear me out:

Yesterday's post on metrics got me thinking about other simplifications and shortcuts we take in the professional space. ? Shortcuts are usually good – they save us time and reduce decision fatigue – but if they go unchecked they can lead to long chains of action-without-thought.?You know, autopilot.


We can explore this using three examples from my consulting work:

  • One prospective client wanted to hire a chief data officer (CDO) and build out an ML/AI team.
  • Another company was in a near-panic about being able to find a large number of contract software developers for an upcoming project.
  • A third insisted on using neural networks for their ML project. (This would have been their first ML project, and at a time when neural nets were more expensive than they are today).


Fair enough.? I listened to what they had to say, then followed up with my usual line of clarifying questions.?One of which was some variant on: "why would you want to do this?"


I got blank stares in return.??


To be clear, I didn't ask the question to be snarky.? If I was to help them succeed (that's the whole reason you call a consultant, really) I needed to understand where they were, where they wanted to be, and how they'd come to that conclusion.? I needed to figure out what I could do to move them forward.? And, frankly, whether I could move them forward.??


This question of "why?", it jarred these people.? It led them to pause, to switch off their autopilot, and to reflect.? They took a moment to ask themselves how they had come to that particular course of action.??


And that's when the real conversation started.


The great thing about asking "why?" is that it leads people to share more of the backstory with me.?Sometimes, in light of this new information, I agree that we should continue down the original path.? In other cases, we realize that plan would not have worked out so well.? That's when we carve out a new approach.


(Since you asked: the three cases mentioned above all fell into the "new approach" category.)


The take-away: How often do you ask "why are we doing this?" at work??How do you review and document the answers with relevant team members? And how often does this review lead you to change course?


(People who've worked with me know that I ask a lot of questions, especially early on.?This helps to disengage a company's autopilot. For more insight into this approach, check out this O'Reilly Radar piece I wrote with Chris Butler and Shane Glynn called "Our Favorite Questions.")

要查看或添加评论,请登录

Q McCallum的更多文章

  • My favorite writing from 2024

    My favorite writing from 2024

    I'm sharing a list of pieces I really enjoyed writing in 2024. (The list of what I enjoyed reading would run for ages…

  • When generated images take on a life of their own

    When generated images take on a life of their own

    (Photo by Cullan Smith on Unsplash.) (This LinkedIn article is mirrored from the post on my website.

  • Measuring the wrong thing

    Measuring the wrong thing

    (Image credit: patricia serna on Unsplash) I never thought I'd have quite this much to say about metrics, but after…

  • Same name, new face for AI

    Same name, new face for AI

    (Image credit: Dawn Low.) Lately I've seen several articles like this one, about this hot "AI" field that's getting all…

    2 条评论
  • Congratulations, you are now a data company

    Congratulations, you are now a data company

    (Photo by Danist Soh on Unsplash) I wrote a lot of software for companies earlier in my career. One lesson I learned…

    1 条评论
  • When your metrics are fooling you

    When your metrics are fooling you

    Photo by Dillon Wanner on Unsplash Following my posts on metrics and companies drifting into autopilot, today I have a…

  • When good metrics are bad

    When good metrics are bad

    For all the value they bring, business metrics can also lead to trouble. There are the people who rely too much on…

    2 条评论
  • The top failure modes of an ML/AI modeling project (Part 2)

    The top failure modes of an ML/AI modeling project (Part 2)

    Someone once told me that risk management is a matter of asking "What are you worried about? And what are you going to…

  • The top failure modes of an ML/AI modeling project (Part 1)

    The top failure modes of an ML/AI modeling project (Part 1)

    The good part about machine learning (ML): you can build a model to automate document classification, pricing…

    3 条评论
  • When your ML model is living in the past

    When your ML model is living in the past

    This screen cap is from a newsletter I was working on a couple of days ago (January 2023): The Google Docs grammar…

    2 条评论

社区洞察

其他会员也浏览了