About me
Who are you?
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.
What are you the proudest of?
In high school, I once told my parents that one day I’d live in Sweden, be with a tall blond man, and work for Tetra Pak. More than 10 years later, I’ve made that dream a reality. I now live in Sweden, am married to a wonderful Swede (tall and blond), and did work for Tetra Pak for two years. It turns out it wasn’t my forever workplace, but I have no regrets! What I’m truly proud of is living a happy life, staying true to myself, and enjoying where life has taken me.
What speaker and/or topic would you like to see at FlowCon?
I would love sessions around Backcasting. It seems to be a new way of looking back to see if the forecasts were accurate, it seems great in theory but it's very flawed and can be misused. I love stories where people explain how they implemented Kanban (or other methodologies) successfully in their organizations, especially in non-dev environments. So many people could benefits from agile methodologies but I do believe it remains seen as a dev ops solution.
If you were an art piece, which one would it be?
The Kiss by Klimt
What's your favorite band, artist or song?
My favorite song is Anxious Angel by Johnossi
Sum up your session or workshop in only 1 sentence
In this workshop, we’ll explore how controlling the age of work in progress can help teams improve predictability, avoid delays, and make more reliable forecasts.
What are the 3 top takeaways from your session or workshop?
Key Takeaways from My Workshop:
1. Controlling the age of work in progress (WIP) is the simplest, most effective way to improve predictability.
By keeping WIP age in check, teams can reduce cycle times and avoid delays.
2. Predictability starts with improving single-item forecasting.
Instead of guessing delivery dates for large groups of work, focus on accurately forecasting one item at a time.
3. Stable cycle times make forecasting easier and more reliable — for both single items and larger projects.
By managing WIP age and stabilizing cycle times, teams can confidently make both short-term and long-term delivery predictions.
