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Today
- Wrote Irregular Ideas newsletter
- Walked in the woods and saw a deer
Tomorrow
- Launching our first test
- Team meeting
- Working on a connected customer experience strategy
Today
Tomorrow
Keira Ball has saved hundred’s of lives and will save many more in the future. After Keira was killed in a road traffic collision, her parents donated her organs to save the lives of four people. One of those she saved was nine year old Max Johnson. Max’s family successfully campaigned for changes to the law on organ donation in England to move from an opt-in system, where people have to proactively agree to be donors, to opt-out, where most people are assumed to agree but have the choice to not be a donor. That means seven hundred more people a year receiving donated organs. But why should a simple change make such a difference? Surely people know that organ donation saves lives and would want to agree to it regardless of how they are asked.
How things are designed helps us make choices. We aren’t always rational in our decisions, we don’t always make the best choice, but when things are well designed to make the best choice the easy choice we’re more likely to make it. Opt-out organ donation makes the choice more difficult by making people think about their own mortality and have to take the action of ticking the box on the form. Opt-in means you don’t even have to think about it now, you can make the right choice without having to do anything.
Researchers from the British Medical Council found that people in countries that use opt-in systems were up to 29 per cent more likely to be willing to donate their own organs and up to 56 per cent more likely to donate their relatives’ organs than those living in opt-in countries. That’s a lot of lives saved from designing the system to work in the way that most people want it to.
Behavioural economist Richard Thaler and legal scholar Cass Sunstein thought similar things about how systems are designed when they wrote their book about nudge theory. A nudge, they explained, is using positive reinforcement and indirect suggestion as ways to influence the behaviour and decision-making of groups or individuals. It involves altering the environment so that the automatic cognitive processes that we all rely on for quick decision making are triggered to do their desired outcome. Governments and organisations set up Nudge Units and applied the theory to get people to take the actions they wanted them to. Sign-up for pensions, buy chocolate bars, recycle. Anything it seemed, could be nudged.
And then, fourteen years after Thaler and Sunstein’s book, experimental psychologist Maximilian Maier and colleagues demonstrated how a new analysis technique on the previous research on nudge theory showed that actually, nudges have no effect on the choices people make.
Nudges don’t work. But good design doesn’t need to nudge. Good design isn’t about setting up the environment to trick people into doing something, it’s about making choices simple to understand and to easy to do. Opt-out organ donation doesn’t rely on indirect suggestion to influence people into agreeing, it helps people make an informed choice by default.
It turns out that influencing people’s behaviour isn’t as easy as we’d think. In 2016, Russia’s Internet Research Academy pointed it’s Twitter bots at the U.S. presidential election, causing panic that the outcome would be affected by a foreign power and that democracy was under threat. Researchers from the Polarization Lab at Duke University analysed the effect of the Twitter bots and found that they had only brief and minimal interactions with people and did not result in any changes in political opinions. So, perhaps the idea that we can all be influenced to change our political ideals, our shopping habits, and our health behaviours through social media, digital advertising and deceptive design patterns on websites just isn’t true. It takes a lot more than gentle persuasion.
If you want to influence the behaviour of lots of people, you have to be blunt about it. In 1935, a Nazi propaganda film called ‘Triumph of the Will’ was broadcast widely. Hitler believed that propaganda must have no element of doubt, it had to be unambiguous. Riefenstahl, the film’s director and producer, recounted the conversation he had with Hitler where Hitler explained he “wanted a film which would move, appeal to, impress an audience which was not necessarily interested in politics.” Adorn and Horkheimer, two Jewish philosophers who fled Nazi Germany, wrote about how broadcast television lead to the rise of fascism, and how ‘Triumph of the Will’ played a part in that, because it had such a mass culture effect of coalescing people around an ideology.
But propaganda like that doesn’t work in the 21st century. We don’t all watch the same film at the same time any more. There is no group experience. No sense of belonging or social pressure to join in with the group and believe what the propaganda tells us. And without that, there is no mass culture because there is no mass.
Modern digital media unwittingly broke the influence that mass culture TV had over large groups of people. Now, everyone can’t be influenced all at the same time with the same message. Each of our Twitter feeds are unique to us, so are our browsing history, our playlists and our purchase history. Personalised digital media doesn’t enable the same degree of influence as mass media because it cannot provide a group experience. It creates niche cultures where small groups of people share very narrow interests with others. Our personalised digital media experiences are shaped for us and only us, and we worry that it influences us to watch the latest series on Netflix, as if we weren’t going to do that anyway.
We won’t be nudged, we shan’t be moved.
Today
Tomorrow
What do I want to achieve?
Product managers in social/third sector organisations use a system-shifting approach to build products that tackle wicked problems and create lasting social change.
Why is this the right goal?
Using a system-shifting approach has the potential to inform building products that create lasting social change because it focuses on wider systems awareness and effects rather than on user behaviour, and is more fit-for-purpose for product management in the social/third sector.
How do I think the goal can be achieved?
If product managers learn system-shifting tools and techniques, then they can apply it to product development and management to create products that create lasting social change.
What will I do to test the hypothesis?
Create a landing page/white paper/manifesto to introduce system-shifting product management and try to help people understand it.
Write blog posts about system-shifting product management to explore the emerging ideas in the open.
Create an email course that teaches the tools and techniques of system-shifting product management.
Promote the email course on social media to attract product managers to sign-up.
How will I know if my hypothesis is correct?
Number of email course sign-ups.
Feedback on the email course.
Page views of blog posts.
Replies on social media.
How will I know I’ve achieve the goal?
Contribution, not attribution. I won’t know if product managers are applying the system-shifting product management tools and techniques in their work, but by introducing them to the ideas I can contribute to product management practices that are more fit for social/third sector organisations and contexts.
Photo of the week:
This week I did:
I’ve been doing some work on a campaign we’ve got coming up. It’s been really interesting to have a product as the centrepiece (to my point last week about products as tools for change). I don’t think I’ve ever seen that before. The campaign aims to use behavioural science to achieve it’s goals (I know I’ve said it before but, products don’t achieve outcomes, products change behaviour and behaviour change achieves outcomes) and even though we know nudge theory doesn’t work, it might still provide a useful starting point for hypotheses around the bias people have. If we’re biased towards doing things that other people have done, then does showing that lots of other people did it reduce some of the emotional barrier for us to do it too?
This week’s Irregular Ideas newsletter looked at the idea of digital natives and digital immigrants, and how the definition has changed over time from being based on age to being about exposure to, and experience with, technology.
I added a few more things to my Timeline of digital work, so it now goes back to 1885 and the founding of Stanford University, which has instrumental in creating silicon valley and much of the technology we rely on for digital work. I want to add more ideas to it but it’s really hard to date them.
It was like walking up stairs for five hours with a jetwash in your face. It was awesome.
I read this week:
James Lovelock, the creator of the Gaia hypothesis, died this week. Another hero gone. I read this article from Noema Magazine and want to read his book, Novacene: The Coming Age of Hyperintelligence.
The Tech Won’t Save Us podcast has a brilliant episode about longtermism, effective altruism, and the use of tech-optimism to justify what some billionaires want to do just because they can. It’s a very one-sided discussion with no critique of the positions expressed, but it’s really interesting anyway. It adds to my thoughts about how individuals and small groups of people are just not equipped to deal with the power they are given in society. Not sure if Dunbar’s number applies here, but if you’re actions can drastically affect more people than you can possibly know, then you have too much power. Also, how cool is that website!
Started reading When they win, you win to try to get a better understanding of the management skills I need to develop. I haven’t figured out how to apply any of it to my context yet but I hope it’s going to be useful.
And I thought about:
Charles Lambdin tweeted, Certainty is an enemy of continuous improvement and maximizing value, and I’d been thinking about how uncomfortable uncertainty is and how we sometimes try to bring certainty to things that are actually still uncertain but that we’ve convinced ourselves that it isn’t. How do we get better at dealing with volatility, uncertainty, complexity and ambiguity?
I’ve been trying to get back into working on all the side projects that I want to do, without much success. I can do it, 313 weeknotes and 60 Irregular Ideas tell me that. The things I’ve learned from these is that it’s easier to work on things when they are scheduled and timeboxed, and small enough for some kind of output to be part of the definition of done. So, things like Ambivalent.mba that feel too big will be made smaller, and things like SystemShiftingProduct.Management will need some more structure and clearer definition of done. Hopefully I can get into the habit of getting things done.
Been thinking about why it is so difficult to think and talk about what we want to achieve and so easy to default to talking about what we want to do. I wonder if it’s because doing feels like progress and the ‘default to action’ thing is a hard bias to kick? Or is it that we struggle to create causal connection between goals and the actions for achieving them (you and I know that hypotheses are the connection, but it’s all those others, right)?