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Added to my RSS feeds.
Started adding my old newsletter posts to my website so I can get off Substack.
Added to my RSS feeds.
Started adding my old newsletter posts to my website so I can get off Substack.
I did:
Some of the interesting stuff I did at work this week included:
Not bad for a three day week.
Wrote a few thoughts on what AI-first means. To me, it’s different to terms like ‘user-centred’ or ‘product-led’ because they are used to make one perspective more important than others, whilst ‘AI-first’ should be about considering all the perspectives.
Tried to get back into writing daynotes but most of my days are so busy with non-daynote-y stuff that I don’t have much to write about.
I read:
Roger Martin argues that universities and charities are multi-sided marketplaces with professors in the middle serving all sides of the marketplace, and so need a strategy that balance the different sides.
Spoiler: it was AI.
There’s an interesting part about how AI affects pricing. If you’re an enterprise SAAS AI product who’s value proposition is that your customers don’t need as many staff, then the usual seat-based pricing doesn’t make sense for your business. So Intercom is changing their pricing to per-resolution model. It’s the first hint of changes we’ll see because of AI that go beyond just adding Gen AI.
Models of models of models.
Read Airtable’s 6 predictions for product teams in the era of AI. One of them is about the shift from “measuring speed to focusing on time to value, and that is a much better representation of return on investment,” (Inbal Shani, chief product officer at Twilio). It’ll be interesting to see if AI does finally disrupt Schumpeter’s first mover advantage.
I thought about:
If a digital strategy is “business’ answers to questions posed by technology”, and a technology strategy is “technology’s answer to questions posed by the business”, then a product strategy is “business’ and technology’s answer to questions posed by customers.”
Having meetings on a regular cadence of weeks or months enforces large wait times between discussions and decisions. One hour this week, one hour next week, 166 hours in between. Even if you only count working hours, that’s still 36 hours, or 97%, wait time. Which gives weekly meetings a flow efficiency of 3%.
You that autonomy and alignment diagram for teams. Maybe there’s one for product strategy that shows low/high coherence/coordination.
| Low coherence / high coordination The strategy lacks a rational logic and has lots of unvalidated assumptions, but everyone knows what they should be doing. | High coherence / high coordination The strategy makes intuitive and logical sense, and everyone understands it and knows what they are doing to achieve it. |
| Low coherence / low coordination The strategy lacks a rational logic, and is mostly in people’s minds and spoken about in vague terms. | High coherence / low coordination The strategy makes intuitive and logical sense, but not everyone understands it and it isn’t clear what they should be doing. |
“The prisoner’s dilemma is a paradox in decision analysis where individuals acting in their own self-interest do not produce the optimal outcome.” It also affects teams interacting with teams.
If your team has two much work in progress, the obvious answer is always to focus on fewer things. But, wait, you say, most of our work involves coordinating with other teams, so we can only work on fewer things if all the other teams work on fewer things, and no team can make those decisions on behalf of other teams. If a team did decide to do less, the affect on would be either they have more to do or they fail to achieve. And so everyone carries on trying to do too much.
Whether you believe a utopian or dystopian vision of the future of AI, or subscribe to the normal technology hypothesis, AI is the undeniable latest revolution facing humanity. Yes, AI has been around in various guises for decades, but there are two things that make AI different to any previous technology revolution that we’ve faced, from the invention of the printing press to the internet.
The first is that AI is a general purpose technology, a bit like electricity. This means that it has broad application. You can use it to do lots of different things. As Tristan Harris put it, when you make technological progress in nanotechnology, you only make progress in nanotechnology. But when you make progress in intelligence, you make progress in every field of human endeavour. Electricity changed manufacturing, transportation, communication, etc. AI is changing it again and changing things electricity didn’t.
The second is that the twenty-first century is the first time in human history where data and technology are so interwoven into our lives, that a general purpose technology like AI will effect every single aspect of everything that goes on in society.
Together, these two factors – wide-sweeping change and interconnectedness – create the backdrop for the discussion on being AI-first.
As a wide-sweeping force for change across society, now and into the future, AI has to be considered from every possible perspective. That means considering economics & productivity, ethics & inequality, technology & data, philosophy, history, anthropology, power & politics, art & creativity, energy use & environmental impact, psychology & sociology, academics and human advancement, ownership & responsibility & rights, and so many more perspectives than I can list.
If you want to call yourself AI-first then you need to have considered what AI means from all of these perspectives.
You can’t speak about being AI-first and still have a narrow perspective on AI because that would deny the reality of it as a general purpose technology that will become increasingly interwoven into every aspect of society and every branch of human endeavour.
If you’re a CEO using the term to justify lay-offs and increase shareholder confidence, then you’re just playing the same old game, you aren’t being AI-first.
So, if AI does become normal technology (which personally I think is most likely) and doesn’t lead to the annihilation of the human race or a golden age of peace and abundance for all, then it will inevitably reinforce the inequalities of how society works today. The only way to change that is to change how we think about it.
Had a quick look at The Core Model. I wouldn’t say it’s immediately obvious what you’d do with it.
Read Roger Martin’s post on The Trickiness of University Strategy. I think of charity’s business model being a similar multiple sides marketplace.
Started watching this video about chaos.
Watched a Mind The Product interview with Paul Adams from Intercom. There’s an interesting part about how AI affects pricing. If you’re an enterprise SAAS AI product who’s value proposition is that your customers don’t need as many staff, then the usual seat-based pricing doesn’t make sense for your business.
Read more of Real World Agility.
Wrote a quick presentation for a proof-of-concept.
Updated my Projects page.
Tidied up resources.rogerswannell.com.
Read Platforms are for engineers and The fundamental misunderstanding in Team Topologies.