Who pours their heart and soul into journey maps that end up gathering dust...
Exactly no one of course!
Sure, we all want our journey work to have more impact, faster.
But the question is how?
That's exactly what we're exploring in the Journey Management Playbook series in collaboration with TheyDo.
What makes this series different is that it's built on the real-world lessons learned from companies who are deep in the trenches of implementing journey management.
Success leaves clues – clues we're sharing with you.
Just like in the first episode, this second part dives into a step that many professionals (myself included, sometimes) tend to skip, overlook, or take for granted.
Yeah, it's the kind of oversight that often comes back to haunt you later on.
This crucial step is all about grounding your journey efforts in solid evidence, blending the what with the why. It’s what separates informed action from guesswork.
Getting this right brings clarity on what truly deserves your attention and what noise you can safely ignore.
Without it, you’re essentially sailing in the dark, hoping for the best.
And let's be honest, hope isn't the most reliable strategy when stakeholders are looking for tangible results.
So, join Tingting Lin and me to learn how to prevent your journey management efforts from failing to make the impact they deserve.
I thought I already had things pretty well dialled in with my own journey management, but this conversation was an eye-opener. Tingting showed how looking into a few simple things differently could help me ground my journeys in even stronger evidence.
Take care,
~ Marc
[RESOURCES]
[EPISODE GUIDE]
00:00 Episode Preview
04:00 Meet the Expert: Tingting
06:30 EP 1 Recap: Business Challenge
08:30 Data in Workflow
11:30 Analyzing with Data
16:30 Data Types & Sources
18:00 Siloed Data Challenge
19:30 Numbers vs Emotions
21:30 Why Data Quality
22:30 Understanding Quant Data
25:30 Correlations & Indicators
28:00 Comperehensive data
32:30 Adding Data Context
35:30 Actionable Data Context
37:45 Quant Data Takeaways
39:00 Qualitative Data Example
41:00 Churn Example with Qual
43:00 Unstructured data
45:00 Naturally occurring data
48:00 Key qualitative data insights
49:45 AI for Quality Analysis
50:45 Putting Data Together
53:00 Data Combination Insights
56:00 Data in Large Businesses
57:30 The Business Journey Tool
58:30 Episode 3 Preview
1:00:00 Audience Q&A (EP 1)
