I’ve spent 25 years watching intelligent, well-intentioned teams chase their tails.
They have UX people. They talk about customer-centricity. They run A/B tests, analyse data, experiment relentlessly. Everyone’s busy. There’s always a report to present, always another metric to improve, always the next sprint.
And yet, somehow, they’re going in circles. A few big early wins followed by the odd micro improvement here and there.
Last year, a financial services client returned to us after a two-year gap. Their exact words: “We’ve been so consumed in the data we realised we need to put our head above the parapet.”
They weren’t lazy. They weren’t incompetent. They’d just been drowning in information while starving for understanding.
They were stuck in what I call the inside-out trap. And they’re far from alone.
The inside-out trap
Here’s what happens. Organisations genuinely try to be customer-centric. They might even have dedicated teams for it. But without realising it, everything they do is shaped by an inside-out perspective – their assumptions, their language, their internal logic.
The noise is relentless. Leadership demands. Changing priorities. Tight deadlines. Everyone has jobs to do, targets to meet. The pressure to keep things moving is constant.
So teams react. They look at bounce rates, conversion funnels, scroll depth. They see drop-offs at step three and immediately start theorising. They run split tests. Some win, some lose. They report the wins to leadership, adjust course, and spin up the next experiment.
It feels productive. It feels data-driven. It feels like progress.
But it’s inside-out progress. Optimisation without understanding. Chasing symptoms without diagnosing the problem.
The digital marketing space has grown rapidly, and with it, an entire industry built around this inside-out approach. There are roles dedicated to it, tools designed for it, entire methodologies centred on experimentation and iteration. And data is valuable – don’t misunderstand me.
But when you’re only looking at what is happening, you’re missing the crucial question: why?
That why lives outside the organisation. It lives with the people actually using your products and services. And you can only find it by stepping outside and looking back in.
The human reality behind the numbers
Data shows you where things break down. It doesn’t show you the emotional and cognitive reality of why they break down. That requires an outside-in perspective – seeing your digital products through your customers’ eyes, not your own.
We recently worked with an insurance company on their business-to-business platform. The team had applied typical UX best practices: scannable content, bullet points, minimal text. Everything the textbooks say you should do.
But when we brought in actual business users – when we stepped outside and observed the real experience – we discovered something surprising. They wanted more information, earlier in the journey. These weren’t consumers skimming on mobile. These were professionals making significant decisions who felt frustrated by the lack of depth.
The data would have shown time-on-page or scroll depth. It wouldn’t have revealed the why – that these users weren’t overwhelmed by content. They were underwhelmed by it.
That insight only came from looking from the outside in.
Inside-out says: “Our bounce rate is high on this page. Let’s test a different headline.”
Outside-in says: “Users are hesitating here because they don’t have the information they need to make a confident decision.”
One optimises a symptom. The other solves the actual problem.
The nuance you can’t see from a distance
Here’s the thing about people. We’re not patterns. We’re not numbers. We’re not data points.
Look at a mass of humans and you’ll see trends. You’ll see behaviours that cluster, journeys that repeat, drop-offs that spike in predictable places. That’s useful. But it’s the view from a distance.
Get closer – step outside and actually observe, watch, probe, try, adapt, try again – and you start to see something else. Nuance. The small, human, easy-to-miss things that no dataset captures and no one would be able to tell you if you asked.
A moment of hesitation that reveals a deeper uncertainty. A workaround that exposes an assumption you didn’t know you’d made. The way someone’s tone changes when they talk about a part of your service that matters to them – really matters – in a way your internal team never anticipated.
That nuance is powerful. It’s the kind of insight that can influence the masses. But you’d never find it in the masses. You can only find it by being close enough to feel what your customers feel, to see what they see, to understand how they actually experience your brand and product in the real world.
This is what the outside-in perspective is really about. Not just research. Not just data with a human label on it. It’s the willingness to get close to the human experience – and to let that experience shape what you build.
And this is where AI creates a new risk.
Not because AI is bad. AI is a remarkable tool. But it risks making organisations more distant from the real customer experience, not closer. It makes it too convenient to talk about the importance of customer experience – to have the dashboards, the personas, the journey maps, the insights – without ever needing to step outside and see what’s really going on. And when those dashboards, personas, and journey maps are built from data and AI rather than from observing real people in the real world, they look like outside-in understanding. But they’re not. They’re inside-out artefacts wearing an outside-in label.
As AI takes more of a hold in how companies operate, the outputs will converge. The strategies will look similar. The content will feel similar. The journeys will follow similar logic. Because everyone is drawing from the same well – data, best practice, optimisation patterns – all processed at speed.
The companies that stand out won’t be obvious about why they’re succeeding. They won’t have a flashier tool or a bigger dataset. They’ll just have something harder to pin down – an edge that comes from never losing touch with the real, nuanced, human experience of their customers.
And as fewer companies make the effort to step outside and get close, that edge becomes rarer. And more valuable.
The outside-in paradigm shift
Stephen Covey wrote about paradigm shifts in The 7 Habits of Highly Effective People. He described a paradigm as the lens through which we see the world – and argued that real change doesn’t come from changing behaviour. It comes from changing the lens.
I appreciate this might feel like a leap from bounce rates and A/B tests. Bear with me.
I’ve come to realise that what I’ve been doing professionally for 25 years is facilitating what I’d call an outside-in paradigm shift. We bring clients outside their assumptions, their internal logic, their well-worn thought patterns. We turn them around so they can see their digital products and services through their customers’ eyes.
And when they see it – really see it – something shifts. The lens changes.
The question is: does it last?
I’ve had directors walk out of research sessions saying, “Wow, yes, we really need to do more of this.” And I know – because I’ve seen it enough times – that within days they’ll be back in their office, consumed by the same pressures, the same meetings, the same reporting cycles. The old lens slides back into place.
A momentary outside-in insight isn’t the same as an outside-in paradigm shift.
So what would a real shift look like?
Imagine a leadership meeting that doesn’t start with the numbers. It starts with the customer experience.
“Who have we observed this month? What did we learn? What quotes stuck with you? How did people feel when they encountered this part of our service?”
Not metrics. Not conversion rates. Not performance against targets.
The actual human experience.
Then – and only then – you move to the data. Because the data matters. Of course it matters. But it’s the what, not the why. And without the why, you’re optimising in the dark.
This isn’t about abandoning data. It’s about leading with outside-in understanding.
The courage question
The inside-out approach feels safe. If something fails, you can point to the numbers. “The A/B test suggested this direction. The metrics indicated that approach.” It’s defensible. It’s rational. It covers you. And increasingly, “the AI recommended it” offers the same comfort blanket.
But building from the outside-in requires something different. It requires conviction. It requires putting your neck on the line and saying, “This is right for our customers,” even when the next quarterly report might not immediately reflect it.
Steve Jobs understood this instinctively. He operated from an outside-in perspective naturally, building products around the experience he knew people needed.
But most of us – most organisations – don’t have that intuition. So we need to build the outside-in practice deliberately.
Building an outside-in practice
Covey’s point was that a paradigm shift changes everything that follows. But he also recognised that shifting a paradigm takes deliberate, sustained effort. It doesn’t happen in a single workshop or a one-off research project.
The outside-in paradigm shift requires a rhythm. A cadence. A discipline.
It means consistently, repeatedly stepping outside your organisation and looking back. Not once a year when the budget allows. Regularly. So that the outside-in perspective becomes the default lens, not the exception.
When teams regularly observe real people engaging with their services – when leadership meetings begin with customer experience before diving into metrics – the paradigm starts to shift for real.
The internal noise doesn’t disappear. The deadlines and targets and pressures are still there. But there’s a clearer sense of what the central point of focus is. And paradoxically, that makes decisions easier, not harder. It cuts through the noise, the overthinking, the perfectionism.
Because you’re not just reacting anymore. You’re building from a foundation of outside-in understanding.
A different kind of progress
The experimentation treadmill creates the appearance of progress. There are always reports to present, wins to celebrate, tests to analyse. AI will only accelerate that – more output, more confidence, more reasons to believe you’ve got it covered.
But if you step back – really step back – and ask whether the overall experience is fundamentally better, whether customers feel genuinely served, whether the organisation is building something meaningful rather than just something efficient…
That’s a harder question to answer. And it’s a question you can only answer from the outside in.
The outside-in paradigm doesn’t promise quick wins or easy answers. What it offers is clarity. Purpose. A way out of the circles.
And in a world where AI is making everyone’s inside-out approach faster, smarter, and more convincing, the organisations with the courage to step outside – to stay close to the real human experience – will have an edge that’s almost impossible to replicate.
