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technology

Perhaps we’ve been wrong to frame public service digital as a way to save money

I write this post with some trepidation. Let me begin with the incantation that this is my personal view and not government policy in any way. So why trepidation? Because I fear I may be treading on some dearly held assumptions that have been core to much work and countless business cases over many years.

Still, let me give this an airing because I know many colleagues feel frustrated when their work in public service digital (or DDaT, or tech or data science, you get the idea) is seen as a cost rather than an investment. They risk becoming relegated to ‘back office services’, or ‘overhead’ in business planning conversations.

When that happens I fear this is a category error – confusing digital work with the likes of estates and audit, with no disrespect for those important professions intended! It is perfectly rational to have a conversation about estates as a cost centre, an organisation could have smaller, cheaper offices or change its desk ratio to reduce their spend on estates. Doing so doesn’t however fundamentally change the core business.

With digital, by coming in hard on the “we can save money through channel shift/reducing paper use/improving accuracy” type arguments we have pigeon-holed ourselves in the same boat.

Do we really think that since the 1950s the public sector has actually saved money through the introduction of digital technologies? Billions are spent running and building these systems. In an alternative world, with no transistors, what would those billions be spent on? I suspect the money would be spent on delivering and administering core public services and the cost of non-digital administration would not have hugely grown. In our reality our spend on digital services, support and all the associated stuff is a major and growing part of public spending. Is that a bad thing? No, because I would argue it is enabling ways of serving the public that were never previously possible. But they aren’t necessarily cheaper.

To put it another way, as Benedict Evans does eloquently in his recent essay on automation, the introduction of spreadsheets did not reduce the amount of accounting or analysis done. Indeed we have more accountants and analysts than ever before, and the spend on them is consequently greater. Similarly in collecting more structured data in public services, whatever we’ve saved on clipboards and pencils, is dwarfed by the growth in data scientists and tools to support them. I would happily argue this is a great investment to better inform decision-making and continuous improvement, but it is undoubtedly costing more money.

I’ve sat on drafts of this post for quite some time, because in some ways it feels heretical to say this when so much of the narrative has been “faster, better, cheaper” and I’ve previously leaned on that rhetoric too, don’t get me wrong. Sometimes there are savings to be made in a tactical sense – with some channel shift here or on-demand printing there. But zoom out and I feel we’re missing a trick if we don’t move away from “efficiency” to the more vital question, what can we do today for the public benefit which wasn’t possible before?

Categories
technology

The hard work of change, hype cycles and why LLMs aren’t a quick fix

There has been a tsunami of hype recently about Large Language Models (LLMs) such as ChatGPT, Bard and so on. To me it has felt quite similar to previous hype cycles, such as with blockchain – “the end of banks” vs “the end for programmers”. For a long time I would get frustrated with people leaping into the latest ‘hot’ technology because I felt they weren’t understanding the hype cycle nor the complexities of how technology really works. However, now I think something more fundamental is going on: In essence, people are consciously or subconsciously, trying to find ways around the long slow hard work of delivering fundamental change (and for me this is specific to work in public services).

Just chucking in some extra technology doesn’t deliver genuine change. Through decades of hard-won experience we know that technology-led change just does not work. It’s only through multidisciplinary teams working in a user-centred way iterating on user feedback that genuine, lasting improvement happens — it is culture change working in step with technology. This is the way set out in the UK service standard, through which we have been able to fundamentally reimagine (some) services and make a positive difference.

I very much know there’s still such a long way to go on the change journey. It is hard yards and we are at the very beginning. It can’t be led by technology, it’s about people and making a difference. When there is so much legacy tech, with poor data models around, I do really understand the wishful thinking that something new could skip the pain of sorting it all out. I know, I feel the pain. But actually doing the hard yards of building the right culture, the right data structures and the right services is what needs to come first.

The tools, technologies and the connectivity of the Internet (a la Loosemore) have allowed us to do public services in fundamentally different ways with a very different cost model, but that alone is not enough. So adding the newest hype technology will never leapfrog lasting change of our culture, behaviours, and imaginations. Indeed, I think the most important shift technological change has delivered is how it has opened our minds to genuinely re-imagining public services for the better. And that is the work. Let’s go.

For further reading on how LLMs work, and how to think about them, I recommend ChatGPT is a Blurry JPEG of the Web and the lengthy What is ChatGPT Doing … and Why Does It Work? followed by this UK government guidance.