In the last post, I wrote about how the system slowly started making sense to me.
But that understanding did not come all at once. It changed the way I responded to Aisha over time - often after making mistakes, overthinking, or reacting too quickly.
Looking back now, I don’t think the biggest shifts came from doing more.
Most of them came from changing how I was seeing what was already happening.
One by one, a few things slowly started changing.
I Stopped Waiting for “Perfect” Communication
Earlier, I was looking for:
clear words
correct responses
visible success
But most of the time, what Aisha was actually giving me were much smaller signals.
A look.
A pause.
A gesture.
A half-attempt.
And many times, I missed them because I was waiting for something more obvious.
Over time, I started responding to those smaller signals immediately - even when they were incomplete.
That changed the interaction completely. Because she no longer needed to be “perfect” to be understood.
I Stopped Focusing Only on Words
Earlier, when a word appeared, I would feel relieved.
But later I realized something important:
The word itself was not the real breakthrough. The intent behind it was.
Once I started paying attention to why she was communicating — not just what she was saying — the interactions became much more meaningful.
The communication stopped feeling trained.
It started feeling alive.
I Stopped Treating Every Dip Like Failure
This took me a long time and it to be honest I still slip into it sometimes.
Whenever engagement dropped or interactions became harder, my first instinct was:
something is wrong
the approach is not working
we are losing progress
But over time, patterns started emerging. Tired days looked different from regulated days. Overwhelmed days looked different from comfortable ones.
And once I started seeing that, the dips stopped feeling random. They started feeling understandable.
I Reduced Pressure Instead of Increasing It
Earlier, whenever things became difficult, my instinct was to do more.
Repeat more.
Push more.
Try harder.
Ironically, that often made things worse.
The interactions became shorter. The engagement dropped faster.
Eventually, I started doing the opposite on harder days:
shorter interactions
lower demands
more play
more space
And strangely enough, that was often when the better interactions appeared.
A simple day to day interaction for choice making, This\That and simple back & forth:
I Stopped Focusing on Completing the Activity
This was another major shift and I think one of the most critical one.
Earlier, I was focused on:
finishing the task
getting through the activity
completing the step
But many times, Aisha could technically “do” the activity without really being connected inside it.
Over time, I realized the activity itself mattered less than the interaction happening within it.
The real goal was not completion. It was connection.
I Stopped Expecting Skills to Immediately Show Up Everywhere
One of the hardest phases was generalization.
A skill would appear during play or inside a familiar setting — but disappear outside.
At first, that felt discouraging.
It looked like we were going backwards.
But over time, I realized something important: real-world use is harder.
The park is harder than the table.
Social situations are harder than familiar routines.
New environments carry more load.
Once I stopped expecting immediate consistency everywhere, the process became easier to understand.
What Changed The Most
If I look back now, the biggest shift was not in the activities themselves.
It was in the lens.
Earlier, I was trying to get outcomes.
Now I spend more time trying to understand:
What is she showing me?
What state is she in?
What is making this easier today?
What is making it harder?
And strangely enough, once that changed, the interactions themselves started changing too.
None of this became perfect overnight.
There were and are still dips, overloads, inconsistencies, and difficult days.
But the difference now is: things have slowly stopped feeling random.
In the next post, I’ll write about the biggest insights these six months gave me — especially around regulation, variability, endurance, and why progress often looks very different from what we expect.
No comments:
Post a Comment