Prioritising bugs vs. features isn’t a fixed formula, it depends on impact, strategy, and feasibility. A clear, flexible framework makes the trade-offs easier, so decisions are consistent, transparent, and aligned.

Great analysts aren’t just data experts, they’re curious, rigorous thinkers who bring clarity to complexity and help teams make better decisions. It’s a mindset, not just a job title, and every successful project needs one.

Data-driven decision-making is a mantra in modern business. But what if the numbers you’re relying on are not accurate?

Good consulting means challenging thinking, tailoring solutions, and staying accountable for results 📊.

How do you use visuals to simplify the complex? 👇

How to embrace and thrive in uncertain times (probably not relevant, seems like we have complete economic global certainty ahead...) ✍ 🐷 TLDR: - strengthen culture: empower teams by acknowledging uncertainty and how it feels 🦾 - accelerate feedback loops: spot issues quickly with more frequent feedback cycles both within teams and with end users ➿ - Stay calm, support your clients to do the same ☮️