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Helen Goad Brain Rewiring Specialist

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Helen Goad Brain Rewiring Specialist

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17/09/2026

You don't need to know everything about the people you lead.
You don't need to know every detail of their lives.

𝗕𝘂𝘁 I do think there's value in knowing their normal.
• Who talks a lot in meetings?
• Who tends to think quietly before answering?
• Who challenges ideas?
• Who organises the coffee run?
• Who disappears for a walk at lunchtime?
• Who usually makes decisions quickly?
Because without knowing someone's normal, it's much harder to notice when something changes.

And change doesn't automatically mean there's a problem.
That's important. Someone might be tired, distracted, busy, or having an off day.
Or simply not fancying the coffee run.

But one change becomes two. Then three.

And perhaps you find yourself thinking:
“𝘛𝘩𝘦𝘺'𝘳𝘦 𝘫𝘶𝘴𝘵 𝘯𝘰𝘵 𝘲𝘶𝘪𝘵𝘦 𝘵𝘩𝘦𝘮𝘴𝘦𝘭𝘷𝘦𝘴 𝘢𝘵 𝘵𝘩𝘦 𝘮𝘰𝘮𝘦𝘯𝘵.”
Listen to it.

That's the point where curiosity can be useful.
Not diagnosis and not trying to fix them.

𝗝𝘂𝘀𝘁:
“𝘐'𝘷𝘦 𝘯𝘰𝘵𝘪𝘤𝘦𝘥 𝘺𝘰𝘶 𝘴𝘦𝘦𝘮 𝘢 𝘭𝘪𝘵𝘵𝘭𝘦 𝘲𝘶𝘪𝘦𝘵𝘦𝘳 𝘵𝘩𝘢𝘯 𝘶𝘴𝘶𝘢𝘭. 𝘏𝘰𝘸 𝘢𝘳𝘦 𝘵𝘩𝘪𝘯𝘨𝘴?”

As our workplaces become more automated, digital and fast-moving, knowing your people might sound like a very old-fashioned leadership skill.

I think it could become one of the most valuable.

Notice Earlier™ is deliberately built around recognising change from someone's normal and opening a conversation without turning managers into therapists.

16/09/2026

Imagine you have someone in your team who regularly challenges you.
Not in an annoying way.
• They're thoughtful.
• They ask good questions.
• They spot things other people don't.
• Sometimes they make you reconsider a decision.

Then gradually...
they stop.
• They're still in the meetings.
• Still doing the work.
• Still agreeing when something needs doing.
• Nothing is obviously wrong.

𝗪𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗻𝗼𝘁𝗶𝗰𝗲?

I've been thinking about this particularly as AI becomes more involved in how we analyse information and make decisions. We need humans more than ever who are prepared to question. To challenge.

To say:
“𝘐'𝘮 𝘯𝘰𝘵 𝘴𝘶𝘳𝘦 𝘵𝘩𝘢𝘵'𝘴 𝘳𝘪𝘨𝘩𝘵.”

So if someone who normally does that becomes quieter, I think that's worth being curious about.
It doesn't automatically mean they're struggling. Maybe they simply agree.
𝗕𝘂𝘁 if it's part of a change in how they normally show up, perhaps it's worth noticing.

Because in an AI-enabled workplace, protecting human judgement isn't only about teaching people to use AI well.
It's also about creating teams where people still feel able to question what they're being given.

Does your current corporate work particularly support this connection between AI oversight and preserving independent human judgement, while treating any erosion of confidence as something to explore rather than assume?

15/09/2026

I've done this myself.
Written an email.
Put it into AI.

“Can you make this sound better?”

It comes back.
Technically, it's better.
So I tweak it again.
And again.
And somewhere along the way I realise...
I could have just sent the original email.
😂

Even worse, sometimes the beautifully polished version doesn't actually sound like me anymore.

And I think there's something interesting in that.
AI can remove effort from our working day.

But if we're not careful, it can add steps too.
• Another check.
• Another version.
• Another option.
• Another decision.
And perhaps even a little less confidence in something we were perfectly capable of doing ourselves.

I'm definitely not suggesting we stop using it. I use AI a lot.
But I am becoming more conscious of asking:
“Is this actually helping me right now?”

Sometimes the answer is heck yes.
And sometimes...
I probably just need to press send.

14/09/2026

Are we saving time, or raising expectations?
AI is supposed to save us time.
And it does, something that took an hour might take 20 minutes. A first draft appears in seconds. Information that would have taken ages to find is suddenly sitting in front of us.

Brilliant. I am not knocking the use of AI.

But I've been wondering what happens to the time we save.

𝗗𝗼 𝘄𝗲 𝗴𝗲𝘁 𝗶𝘁 𝗯𝗮𝗰𝗸?

Or does 20 minutes simply become the new expectation for something that used to take an hour?

Because there's quite a difference: if every efficiency creates space for more work, more decisions and faster turnaround, eventually we're not really saving time. We're increasing pace.

And humans don't necessarily speed up simply because the technology around them does.

We still need time to think.
• To question.
• To make decisions.
• To notice when something doesn't feel quite right.
I'm excited by what AI can help us do.

But I think organisations need to be curious about the other side of productivity too.
When technology creates capacity, what are we choosing to fill it with?
𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗽𝗲𝗿𝗵𝗮𝗽𝘀 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗮𝘁 𝘀𝗽𝗮𝗰𝗲 𝗶𝘀 𝘄𝗼𝗿𝘁𝗵 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗻𝗴.

11/09/2026

We tend to notice outcomes.
• The resignation.
• The absence.
• The mistake.
• The missed target.
• The drop in performance.
• The decision that went wrong.

They're visible.
We can measure them.
We can put them on a spreadsheet.

But I've been spending a lot of time recently thinking about a different question:
𝗪𝗵𝗮𝘁 𝘄𝗮𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱?

Perhaps someone stopped challenging ideas. Started checking things repeatedly. Became quieter. Needed more reassurance. Stopped asking for help. Started working later. Lost some of the energy they normally brought into the room.

None of those things predict what happens next.

And I think that's really important.
Notice Earlier™ isn't about turning every change in behaviour into a warning sign.

It's about recognising that sometimes people change before the numbers do.
And in an increasingly AI-enabled workplace, I think that's going to matter.
Because we're becoming incredibly good at collecting information about outcomes.
• Productivity.
• Performance.
• Efficiency.
• Output.

But some of the earliest information about what's happening inside an organisation might still come from one human noticing that another human isn't quite themselves.

Not a dashboard.
Not an algorithm.
Just:
“I've noticed something has changed.”
And perhaps that's where a very different outcome can begin.

I would love to hear your thoughts on this.

10/09/2026

I don't think managers need another thing added to their list.
• “Use AI.”
• “Improve productivity.”
• “Manage performance.”
• “Lead change.”
• “Look after your people.”
• “Hit the targets.”
• “Have better conversations.”
• “Be more emotionally intelligent.”
The list goes on.

And somewhere amongst all of that, we're asking them to notice when somebody in their team isn't quite themselves.

Which is why I don't want Notice Earlier™ to become another complicated framework managers have to remember.

It's much simpler than that.

𝗡𝗼𝘁𝗶𝗰𝗲. > 𝗕𝗲𝗰𝗼𝗺𝗲 𝗰𝘂𝗿𝗶𝗼𝘂𝘀. > 𝗔𝘀𝗸. > 𝗟𝗶𝘀𝘁𝗲𝗻.

Perhaps someone who normally contributes hasn't said much recently.
Maybe the person who confidently made decisions is suddenly looking for reassurance. Or someone just feels a little different.

It might mean absolutely nothing.
You don't need to diagnose it.
You don't need to fix it.

But you can become curious.
“I've noticed you seem a little quieter than usual. How are things?”
Or:
“What's feeling harder than it needs to right now?”

As AI changes the way we work, I don't think human leadership needs to become more complicated to keep up.

Perhaps some of it needs to become simpler.
Slow down.
Know your people.
Notice when something changes.
And be willing to ask. Be willing to be curious.

Does this resonate? Reach out; let's begin a conversation.
Or have a Virtual Cuppa.

09/09/2026

AI can make the work faster.
But it can also move the finish line.

What are your thoughts?

09/09/2026

“They've adapted really well to the change.”
Maybe they have.

But I've been thinking about what adapting actually looks like.

Because people are incredibly good at finding ways to keep functioning when their environment changes.
• We learn the new system.
• Use the new AI tool.
• Take on the new process.
• Work around whatever isn't quite working yet.
And keep going.

From the outside, that can look like successful change.
But compliance with change doesn't necessarily tell us how someone is experiencing it. Perhaps they're comfortable with it. Perhaps they're excited by it.

Or perhaps they're having to put considerably more effort into producing exactly what they produced before.

That's where I think leaders need curiosity. Not because every change is a problem. And certainly not because we should assume people aren't coping.

𝗕𝘂𝘁 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝘂𝘁𝗽𝘂𝘁 𝗮𝗹𝗼𝗻𝗲 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗲𝗹𝗹 𝘂𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝗰𝗵𝗮𝗻𝗴𝗲 𝗵𝗮𝘀 𝗹𝗮𝗻𝗱𝗲𝗱.

Sometimes you need to know your people.
What are they normally like?
How do they usually communicate?
How confidently do they normally make decisions?
How much do they usually contribute?
Then you have something to notice when that changes.

As workplaces continue adapting to AI, I think knowing someone's 𝗻𝗼𝗿𝗺𝗮𝗹 could become a surprisingly valuable leadership skill.
Because successful implementation and successful human adaptation aren't necessarily the same thing.

08/09/2026

AI might not be the thing creating the pressure
I've been exploring the impact of AI on the workplace quite a lot recently.

And I've realised there's a distinction I want to be careful about.

AI isn't necessarily the thing creating the pressure.

Someone might love using AI (I know I do). It might save them hours (it saves me hours and money). Make part of their job easier (and it helps me improve what I do). And remove repetitive work they hated doing. That's all a good thing.
• 𝗕𝘂𝘁 𝘁𝗵𝗲𝗻 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘁𝗼 𝘁𝗵𝗼𝘀𝗲 𝗵𝗼𝘂𝗿𝘀?
• 𝗗𝗼 𝘁𝗵𝗲𝘆 𝗰𝗿𝗲𝗮𝘁𝗲 𝗯𝗿𝗲𝗮𝘁𝗵𝗶𝗻𝗴 𝗿𝗼𝗼𝗺?
• 𝗢𝗿 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗲𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝗶𝗺𝗽𝗹𝘆 𝗺𝗼𝘃𝗲?
• More work.
• Faster turnaround.
• More decisions.
• More responsibility.
More change to keep up with.

That's the bit I'm interested in.

Because sometimes it isn't the technology itself that's creating the cognitive load, it's everything changing around it.
And when change keeps coming, without much opportunity to settle, people adapt and usually pretty well.

𝗨𝗻𝘁𝗶𝗹 perhaps something starts to feel a little harder than it used to.
• Thinking.
• Deciding.
• Concentrating.
• Communicating.
• Staying patient.
And often they're still performing.

So when we talk about the human impact of AI, perhaps we need to look beyond the technology itself.

Sometimes the pressure is sitting in the expectations that grow around it.
And I think that's something worth paying attention to.
What do you think?

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Monday	9:30am - 4pm
Tuesday	9:30am - 4pm
Wednesday	9:30am - 4pm
Thursday	9:30am - 4pm
Friday	9:30am - 4pm
Saturday	8:30am - 1pm

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http://www.hypnotherapy-cumbria.co.uk/

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