🚀 Why Business Analysts Need to Think Like Investigators Not Just Note Takers

One of the biggest mistakes new business analysts make is taking what they’re told at face value.

The SME says “that’s how the process works” — and they write it down.

The stakeholder says “we just need a system that does this” — and they add it to the list.

But experienced BAs know that most of the time, what people say and what actually happens are two different things.

That’s why you need to think like an investigator.

Ask why.
Ask again.
Look at the data.
Watch what actually happens.


đź§  What It Means to Be an Investigative BA

Being investigative means you’re:

  • Observing what people do, not just what they say
  • Asking deeper questions to get to root causes
  • Challenging assumptions in a respectful way
  • Looking for gaps between systems and behaviour
  • Verifying processes through real-world evidence

🛠️ Techniques That Help

  • Process observation: Sit with users. Watch them do the task. Don’t just ask.
  • Data analysis: What the reports say often tells a different story than the meetings.
  • Follow the exception paths: Find the steps people do “when the system doesn’t work.”
  • Use the Five Whys: Keep digging to get past surface-level explanations.

đź§© Why This Makes You Better at Requirements

Stakeholders will thank you for seeing what they didn’t.

You’ll catch edge cases before they become issues.

You’ll write requirements that actually reflect how the business runs.

You’ll design better future-state processes because you understand the reality of the current state.


âś… Final Thoughts

Business analysts who just take notes don’t bring real value.

The ones who ask why, challenge gently, and dig deeper?

They solve real problems.

That’s the difference.

Read More

Related Posts

Documentation as a Competitive Advantage in the Age of AI

📖 Why Documentation Matters More Than Ever In every organisation, documentation has often been treated as an afterthought. User guides, process maps, and technical manuals were seen as “nice to have” rather than business-critical. But in the age of AI, documentation is no longer optional — it’s a competitive advantage.

The Rise of AI Co-Pilots: What It Means for Business and Process Analysts

🛫 What Are AI Co-Pilots? AI co-pilots are emerging tools designed to assist rather than replace professionals. Microsoft’s Copilot for Office, GitHub Copilot for coding, and similar tools integrate AI directly into everyday workflows. Instead of being stand-alone platforms, these copilots act as intelligent assistants that anticipate needs, suggest improvements,

Turning Data into Decisions: The Analyst’s Role in an Automated World

📊 Data vs. Insight: The Critical Difference AI has made it easier than ever to generate data. Dashboards fill with metrics, predictive models highlight trends, and algorithms surface anomalies. But data alone doesn’t create value. What matters is turning that raw output into decisions that drive the business forward. This

What AI Can’t See in Your Processes (Yet)

👀 The Blind Spots of AI in Business Processes AI has become a powerful tool for identifying inefficiencies, automating workflows, and predicting outcomes. It can process large amounts of structured data faster than any analyst ever could. But AI doesn’t see everything. Behind the data are human behaviours, cultural nuances,