Margaux Fiche



Biography

I’m Margaux Fiche a French-born flow enthusiast who has been living in Sweden for ten years, sharing my life with two tuxedo cats and a wonderful Swedish husband.

My career has taken me through various industries, from Conventional Fuel Dispensers at Wayne Fueling System to Food Packaging/processing at Tetra Pak and energy-efficient solutions at Heatex, and now I’m happily leading Customer Experience at 55 Degrees. Funny thing is, until four years ago, I knew nothing about Agile! But since discovering it, I’ve developed a passion for flow, workflows, and kanban systems — though I still have a love/hate relationship with blocked columns. (They just sit there. Mocking you. Pretending to be helpful.)

These days, I focus on helping our customers succeed by improving their flow and becoming more predictable through better management of work in progress and practical use of our tools. In 2024, I became a Professional Kanban Trainer (PKT), and I love being part of this community that’s as obsessed with continuous improvement as I am.

In my sessions, I aim to make complex ideas practical, actionable, and just a bit fun. After all, life's too short not to enjoy learning! And if you happen to catch me after a talk, I’m always happy to chat about Agile — or share some French food tips.


What do you do for a living ?

I’m Head of Customer Experience at 55 Degrees, where I manage the customer support team and act as a Customer Success Manager to help our customers successfully adopt our product and achieve their goals. My focus is on helping customers identify bottlenecks, minimize uncertainty, and drive predictability.


What are you going to talk about at FlowCon?

My workshop will focus on improving delivery predictability by managing the age of work in progress. We’ll explore best practices that teams can apply every day to reduce delays, optimize flow, and make more accurate forecasts. Through exercises, participants will look at different forecasting scenarios to understand common pitfalls and learn actionable steps to improve predictability in their own workflows.