Deeper Clarity – Better Results, with Nilufer Erdebil

Deeper calrity - better results

Episode 209

When it comes to initiatives humans undertake, we only need to look at a few to see how they can fail spectacularly. One example:

The iconic Sydney Opera House came from a competition won by a young Danish Architect. The board who’d commissioned him to build it was told it would be completed by 1963, but things were so chaotic and so behind schedule, he had to be fired. It is truly a marvel of design, but it’s a posterchild for poor projects because it didn’t open until 1973.

Another example: Out of a desire to research high-energy particles and potentially solve the fundamental  of physics, the US Government set out to build the Superconducting Super Collider (SSC). A site in Texas was chosen, but after 6 years they had only tunneled a fraction of the 88 kilometres, when the project was cancelled at a cost of $2B.

A last example: In 1998 NASA’s Mars Climate Observer travelled about 200M miles and was about to start researching the red planet. But the software setting its orbital altitude had been given imperial units instead of metric. This error in the code made it come in too steep, destroying the $328M probe.

These failures are so huge, it’s bound to bring out our inner cynic. It’s natural to pose questions of those leading the projects, like: “what were they thinking?”

I don’t scoff at the people who headed these projects, because I experienced something in my youth that showed me how humans sabotage missions.

When I was 15 I attended a camp that took us through exercises to cultivate teamwork. I thought I knew what teamwork was; I was not prepared for what awaited.

Two twenty-something Senior Counselors named Leo & Bob were in charge of it. We left the camp which was in rural New York State and drove in a van a few hours away. The van crossed into Pennsylvania, left the highway for a sideroad, then onto a dirt road and finally to a clearing somewhere in the backwoods. It was early afternoon by the time Leo dropped us off, leaving 4 of us and Bob to calmly walk for about 30 minutes, and we stopped to relax in a clearing in the forest.

At that point, Bob stood facing us and told us about this simple exercise we were about to do. He said, ‘you are stranded in a forest a few miles from a stationary van which contains food and medical provisions. You have to locate the help, which will signal its location by a horn-blast every 15 minutes until sundown. You’ll succeed in your mission if you reach the van by then. He didn’t tell us what would happen if we didn’t.

All of this seemed doable, until Bob said one of your team is incapacitated due  an injury.’ and then he closed his eyes, fell to the ground, and didn’t say a word. I’s hard to be to say what the next couple of hours was like, as we tried to find the van,  carrying this 180lb man through the brush. Suddenly, it became important to recall the way we’d come, or how to lash branches together to form a stretcher, or whom among us should decide which way we should go. Each time we heard the horn, we felt a bit more exhausted and acted a bit more panicked, knowing that the horn-blasts would stop and we’d resort to screaming in the dark. The way we interacted with each other in every way, from rational to tense to hysterical. At several points in the day, I was convinced we’d never get to the van. But by some miracle we reached the van just before sunset.

Each of us had time during the trip back to reflect on how we worked as a team. I no longer wonder why people have difficulty collaborating on projects, especially as the stakes get higher.

My guest also believes it’s our fault that projects fail as they do, and she’s got principles she teaches that make everyone clear on the task we’re all undertaking, significantly improving odds of success.

She is founder and CEO of Spring2 Innovation, is an award-winning design thinking and innovation expert, as well as a TEDx and TEC/Vistage speaker. With over 25 years of experience, she has driven innovation in telecommunications, application development, program management, and IT, helping public and private organizations shape strategy, drive change, and launch new products and services. Let’s go now to speak with Nilufer Erdebil.

 

Chapter Timestamps

0:00:00 Intro

00:06:38 Welcome Nilufer

00:10:16 Poor design in showers and on projects

00:20:12 customers’ unspoken needs

00:25:07 PSA

00:25:40 Devoting more of our time to communicating

00:28:49 Mistakes stemming from bad Workflows

00:37:39 Is our UX as disorienting to customers  as a foreign language?

00:43:12 AI’s potential role

00:47:55 About Nilufer, book

People/Products/Concepts Mentioned in Show

Nilufer’s LinkedIn profile

Nilufer’s TEDx talk

Spring2Innovation

Future Proofing by Design



Listen to episode

The Data Storyteller’s Handbook, with Kat Greenbrook

Kat Greenbrook

Episode 208

  • People resist change.
  • They only stop resisting when they’re convinced the change is needed.
  • They’re only convinced change is needed when they grasp the truth.
  • The best way to present them the truth is with data. 

You might think that what works on people is a dry statistical presentation of the data in all its Indisputable, inscrutable glory. 

Nope.

Those avoiding change give themselves offramps by arguing about your data. History shows that to persuade people to take an action, it takes taking them through data in a way that grabs them emotionally. Some examples include:

Florence Nightingale
Florence Nightingale, 1854

Al Gore, 2006

 

princess diana minefield
Princess Diana, 1997

Numbers prove, but a story compels.

This has so much to do with marketing. Here’s why. To do what we do, our bosses / clients must be convinced in how our work is yielding results. That is the core of every story that a marketing presentation tells.  Our guest is a Data Storyteller. After graduating from Massey University in 2002, she moved into data analytics. She earned a digital design degree in 2015, combining her design and analytics skills, which led her to specialize in data storytelling. In 2016, she founded Rogue Penguin, a company focused on bridging analytics and business operations. 

She now leads workshops for professionals in data science, marketing, and design. And she’s the author of “the data storytelling handbook”

Let’s go to New Zealand to speak with Kat Greenbrook

 

Chapter Timestamps

0:00:00      Intro
00:05:48    Welcome Kat
00:07:45    when data storytelling is needed
00:09:00    two ways of communicating data
00:13:55    Data stories improve communication between groups
00:26:38    PSA
00:27:18    Canvas for making time stories
00:30:05    making visuals relevant to the business
00:33:19    How to present when you only have part of story
00:39:06    Conserving data-ink
00:43:00    More you show – the less you contrast
00:48:20    Getting the book or contacting Kat

People/Products/Concepts Mentioned in Show

The Data Storyteller’s Handbook

Kat on LinkedIn

Rogue Penguin


Making Numbers Count, Chip Heath, Karla Starr

 



Listen to episode

The Smart Advertising Book, with Dan White

The Smart Advertising Book

Episode 207

Those of you who know me outside of this podcast, know that if I’m doing anything that involves advertising, whether it be in a classroom or a consulting setting, I think of ads as a complicated puzzle that is never fully solved. While it may not have a predictable outcome, there are a few key principles about it that are always true.

I’ve picked up these lessons one at a time, either by studying competitors or through the brands that entrusted me to run their ads—sometimes through painful trial and error. The models and principles that emerge from this process become a valuable piece of baseline knowledge, allowing you to make case-by-case decisions.

However, it’s hard to pass these insights along to others. They’re often too abstract, and the examples become stale and dated as campaigns retire.

Does this mean anyone wanting to adopt this perspective on advertising must go through the same process I did? Not necessarily. Thanks to someone with a gift for brevity and illustration, these principles have been distilled into a book.

As I leaf through its pages, I’m delighted to see many concepts I’ve known given clear shape and an easy-to-remember form.

Our guest graduated from Cambridge University with a Masters of Arts. He has worked in marketing, market research and brand consultancy for 30 years. He uses imaginative visuals to bring marketing concepts to life.

He’s one of the nicest authors I’ve had on, and he’s back on this show for a third time. Let’s go to England to speak with Dan White.

Timestamps/Chapters:

0:00:00 Intro
00:02:27 Welcome Dan
00:04:40 Oldest known advertisement
00:09:18 Uber’s clever transit ad
00:11:15 Positive and negative impacts of ads
00:22:47 using advertising to build brand asset
00:23:49 PSA
00:30:46 Many ways ads can tell a story
00:33:19 How brain perceives messages
00:37:43 Learning about ads through metaphor
00:45:45 Getting the book or contacting Dan

People, products or concepts mentioned in the show:

Dan on LinkedIn

Dan White’s Smart Advertising Book

Dan was previously on In Episode 166 and Episode 109

Hankin’s Hexagon

FMCG – Fast Moving Consumer Goods (packaged foods, beverages, snacks)



Listen to episode

Dan’s latest book demystifies advertising

Causal Artificial Intelligence, with John Thompson

Casual AI with John Thompson

Episode 206

There’s no denying that ChatGPT and other GenerativeAI’s do  amazing things.

Extrapolating how far they’ve come in 3 years, many can get carried away with thinking GenerativeAI will lead to machines reaching General and even Super Intelligence. We’re impressed by how clever they sound, and we’re tempted to believe that they’ll chew through problems just like the most expert humans do. 

But according to many AI experts, this isn’t what’s going to happen.  

The difference between what GenerativeAI can do and what humans can do is actually quite stark. Everything that it gives you has to be proofed and fact-checked. 

The reason why is embedded in how they work. It uses a LLM to crawl the vast repository of human writing and multimedia on the web. It gobbles them up and chops them all up until they’re word salad. When you give it a prompt, it measures what words it’s usually seen accompanying your words, then spits back what usually comes next in those sequences.  The output IS very impressive, so impressive that when one of these was being tested in 2022 by a Google Engineer with a Masters in Computer Science named Blake Lemoine, became convinced that he was talking with an intelligence that he characterized as having sentience. He spoke to Newsweek about it, saying:  

“During my conversations with the chatbot, some of which I published on my blog, I came to the conclusion that the AI could be sentient due to the emotions that it expressed reliably and in the right context. It wasn’t just spouting words.” 

All the same, GenerativeAI shouldn’t be confused with what humans do. Take a published scientific article written by a human. How they would have started is not by hammering their keyboard until all the words came out, they likely started by asking a “what if”, building a hypothesis that makes inferences about something,  and they would have chained this together with reasoning by  others, leading to experimentation, which proved/disproved the original thought. The output of all that is what’s written in the article. Although GenerativeAI seems smart, you would too if you skipped all the cognitive steps that had happened prior to the finished work.

This doesn’t mean General Artificial Intelligence is doomed. It means there’s more than one branch of AI – each is good at solving different kinds of problems. One branch called Causal AI doesn’t just look for patterns, but instead figures out what causes things to happen  by building a model of something in the real world. That  distinguishes it from GenerativeAI, and it’s what enables this type of AI to  recommend decisions that rival the smartest humans. The types of decisions extend into business areas like marketing, making things run more efficiently, and delivering more value and ROI.

My guest is the Global Head of AI at (EY) Ernst & Young, having also been an analytics executive at Gartner and CSL Behring and graduating from DePaul with an MBA. 

He has written five  books. His 2024 book is about the branch of AI technology we don’t hear very much about, Causal AI. So let’s go to Chicago now to speak with John Thompson.

 

Chapter Timestamps

0:00:00 Intro

00:04:36 Welcome John

00:09:05 drawbacks with current Generative AI

00:16:09 problems causal AI is a good fit for

00:22:47 Way Generative AI can help with causal

00:26:50 PSA

00:28:08 How DAGs help in modeling

00:38:36 what is Causal Discovery

00:47:52 contacting John; checking out his books

People/Products/Concepts Mentioned in Show

John is on LinkedIn

John Thompson has been on Funnel Reboot twice previously:

Episode 136

Episode 181

Causal Diagramming tools:

https://www.dagitty.net/

https://cbdrh.shinyapps.io/daggle/

 



Listen to episode

Components of Causal AI modeling process.

Marketing more efficiently with AI, with Rich Brooks

Rich brooks

Episode 205

 

Rich Brooks is founder and president of flyte new media, a digital agency in Portland, Maine.  He founded The Agents of Change a weekly podcast that has over 550 episodes. He is a nationally recognized speaker on using digital channels like search, social media and mobile for marketing to your audience. Rich also hosts the Agents of Change conference which takes place October 9th and 10th both virtually and in his hometown of Portland, Maine.

 

Timestamps/Chapters

0:00:00 Intro

00:02:49 welcome Rich

00:08:56 using GPT to make text seo-friendly

00:17:32 blending generative text with your own content

00:22:47 expanding to image & video

00:27:11 PSA

00:27:45 managing projects and events with AI

00:38:36 when to use a human vs aGPT

00:47:52 info on Rich. his podcast & his conference

People/Products/Concepts Mentioned in Show

The Agents of Change Conference, Oct 9-10, 2024

Rich’s Podcast – The Agents of Change

Rich on LinkedIn

Rich on Twitter/X



Listen to episode