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🧠 Stop solving problems you don’t understand

If you want to deliver data work that actually matters, then focus your energy on asking better questions.

Too many data leaders tell me the same thing, that their teams sprint into ‘solution mode’ the moment a stakeholder looks in their direction.

It usually goes like this: A stakeholder says they want a dashboard. Next, your team is arguing about data models, warehouse architecture and whether it should be built in Power BI or Looker.

Meanwhile, no one has paused for even a second to ask what on earth this dashboard is meant to change inside the business?

Or is it even a dashboard they need at all??? (hint: usually no)

Unfortunately, when you skip the questioning part, you end up building beautiful, shiny solutions that solve precisely nothing.

You burn time. You burn trust. And your team compounds its reputation as a gigantic money pit (never a good look).

It’s today’s edition of Strategies For Effective Data Leadership, I’m going to take you through the cost of not asking questions and deep dive into strategies for asking better ones.

But first, let’s all get poll-yamorous 👇🏻👇🏻👇🏻👇🏻👇🏻

🗳️ Poll time!

😩 The cost of bad questions

Here are a few consequences of not interrogating a business ask properly:

Impact 1: You build something that looks good but fixes nothing
Perfect design. Zero strategic impact. No stakeholder alignment.

Impact 2: You trap your team in endless rework
Not asking great questions and understanding the challenge from the start means you’ll be constantly iterating as feedback is drip fed.

Impact 3: You create a dependency loop
Stakeholders lose confidence in your work. They’ll start checking everything and question every single number. You and your teams credibility tanks big time.

Impact 4: You reinforce the stereotype that data teams are technical operators
Executives start to believe the narrative that data people cannot think commercially. Which is ironic because most of us absolutely can. We just do not slow down long enough to ask the right questions.

Good news. You can fix all of this. It starts with becoming the kind of data leader who interrogates the business problem properly before even thinking about solutions.

📚 Did you know I host a bookclub?

Each month the Bad Ass Bookshelf votes on a non-fiction personal or professional development book for the members to read. Throughout the month we discuss and share notes and insights on the books as we go, culminating in a book club call at the end.

We’ll be kicking off a new book next week. The chosen book will be announced on Monday. If you’d like to join us, you’ve most welcome.

💪🏻 How to ask better business questions

Before you touch SQL, open a Jira ticket or architect anything, you need to slow everything down. Your job is to understand the business context so deeply that the right solution becomes obvious.

Here is how to do that.

1. Always ask what outcome they want, not what product they think they need
If they say they want a dashboard, ask what they want to happen as a result of that dashboard.

  • What decision will this inform?

  • What behaviour do you want to change?

  • What metric should move and by how much?

Do not let them anchor you to the output. Pull them back to the outcome.

2. Ask them to show you the pain, not their wish list
Real business needs are born out of pain.
Ask:

  • What is slow?

  • What is costing money?

  • Where are you losing customers?

  • What are your competitors doing better than you?

  • Make them show you the suffering. That is where the real opportunity is hiding.

3. Ask what they have tried before and why it did not work
Executives hate admitting when something flopped. But you need this context. It helps you avoid repeating the sins of the past and wasting everyone’s time.

4. Ask who owns the decision and who is affected by it
A single request often touches multiple teams. If you do not map the ecosystem at the start, you will be slapped with conflicting needs halfway through the project. make sure you understand the lay of the land.

5. Ask what success looks like and what failure costs
This one changes everything.
If the business cannot articulate what winning looks like, the project is no worth pursuing. And if they cannot articulate what is at stake if nothing changes, then it probably is not a real priority.

6. Translate everything into a commercial frame
Once you have the answers above, turn the problem into a commercial statement.
For example:
Instead of building a churn dashboard, you are helping the business retain 3 percent more customers in Q1 and protecting seven figures of revenue.

Now the work actually matters.

If you want to be seen as a strategic data leader, you cannot skip the questioning. Better questions lead to clearer problems. Clearer problems lead to higher impact solutions. And higher impact solutions turn your data team into a strategic partner rather than a ticket service.

🤝  Work with me in ‘25 (before price rise in ‘26!)

We’re approaching the business end of 2025. If you want to drive it home this year, this is pretty much your last chance to make an impact.

I have a few available spots for 1:1 data leadership coaching, but they won’t last long. Prices will increase in January so take advantage of 2025 pricing now.

If you’d like to explore working with me as your data leadership coach and smash what’s left of 2025 then now is the time to act.

Book a FREE 30 min intro consultation with me here.

Tristan Burns

💡 Helpful resources for data professionals:

The Data Leadership Frameworks: This email series containing 10 data leadership frameworks, will equip you with the necessary skills and knowledge to maximise your effectiveness and become the influential and powerful data leader you know you can be.

DIY Coaching Program: Through a series of 9 self-guided exercises, you’ll clarify your goals, overcome obstacles, and create a plan for your next career move - all at your own pace.

⚡️Three more ways I can help you:

Private Coaching for Data Leaders: I work with data professionals looking to grow into influential and unstoppable data leaders to help them navigate and overcome the challenges of being a data leader.

Group coaching for Data Teams: Great data teams can make or break businesses. Through my facilitated 6-week group coaching program, together we get to the heart of what is holding teams back and set a course for data-driven success.

Google Analytics, Tagging and Looker Support: Helping teams to set up or optimising their data eco system, generate actionable insights and gain more in-depth knowledge through training.

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