How to Track >100 Symptoms in <60 Seconds a Day

When I first started trying to understand what was happening to my brain and body, I wasn’t trying to build an app.

I was just trying to answer questions that suddenly felt impossible.

Were my ADHD meds actually helping?

Were my moments of overwhelm and complete executive function collapse happening ALL the time, or was my brain just selectively replaying the worst moments on a loop?

Why did I keep confidently declaring:

“I think I’ve finally figured this out.”

…only to completely fall apart again 48 hours later?

And why, every time I got in front of a doctor, did my entire symptom history suddenly evaporate from my brain like a witness entering federal protection?

Like a lot of women, I started trying to track symptoms myself.

At first I tracked the obvious things.

Headaches, because they were plaguing me.

Hot flashes, mostly because I had finally realized they were happening and apparently that seemed medically relevant.

But pretty quickly I ran into a much bigger problem:

I had absolutely no idea how to track things like emotional regulation, focus, executive function, motivation, anxiety, or rejection sensitivity.

And honestly… how do you quantify something that isn’t happening anymore?

How do you measure:

• fewer emotional meltdowns?
• slightly less overwhelm?
• improved emotional regulation?
• the absence of chaos?

Do other people even notice those things?

Because I genuinely couldn’t tell anymore.

Especially when ADHD and perimenopause are not exactly a recipe for consistency, reliable memory, routine formation, or remembering to fill things in every day.

At some point, I realized the problem wasn’t that I was bad at symptom tracking.

The problem was that most symptom tracking systems quietly assume users are functioning normally.

Which feels like a bold assumption when your hormones, memory, sleep, executive function, and emotional regulation are all actively auditioning for chaos goblin of the week.

That realization eventually became Fine.

And interestingly, once I started digging into the research, it turned out a lot of these instincts were actually supported by evidence:

• humans are terrible at remembering symptoms accurately after the fact
• short daily check-ins tend to outperform giant surveys
• cognitive load destroys consistency
• people are much worse at noticing improvements than worsening symptoms

Which, honestly, made me feel significantly less personally defective.

The “I’ll Track It Later” Problem

One of the first things I realized is that symptom tracking systems massively overestimate human memory.

Especially for symptoms that fluctuate.

Research on recall bias has consistently found that humans are surprisingly unreliable at reconstructing symptoms after the fact. Current emotional state, recent experiences, and particularly intense symptoms all distort how we remember the past. Overview of recall bias in health reporting

Which honestly feels obvious once you notice it happening in yourself.

If today is terrible, suddenly it feels like everything has been terrible forever.

If today is good, your brain immediately starts acting like the previous three weeks of suffering never happened.

I realized I was doing this constantly.

I’d walk into appointments trying to summarize months of fluctuating symptoms from memory alone like:

“Well… I think things are maybe better? Except also worse? But differently?”

Not exactly high-quality clinical reporting.

And honestly, the more symptoms are involved, the worse this gets.

Perimenopause symptom lists are already absurdly long on their own. Then you layer in ADHD, anxiety, depression, thyroid issues, PMDD, medication side effects, hormonal fluctuations, stress, burnout, and whatever fresh nonsense your body decided to invent this week…

…and suddenly you’re trying to track what feels like the entire human experience.

That’s when I realized: trying to remember everything later was never going to work.

The only realistic option was reducing the burden enough that tracking could happen in real time.

The “This Feels Like Homework” Problem

At first, like many deeply optimistic people before me, I tried giant symptom lists.

• Comprehensive spreadsheets.
• Printable trackers.
• Long checklists.
• Carefully organized systems.

You know. The kind ADHD brains absolutely love building and definitely do not continue using.

Everything looked very responsible and medically thorough.

For approximately four days.

The problem with most symptom tracking systems is that they quietly require users to:

• decide what matters
• remember to log it
• consistently initiate tracking
• tolerate repetitive data entry
• maintain routines indefinitely

Which is difficult enough for fully functioning brains.

Slightly harder when your executive function got bored and wandered off into the forest carrying a half-finished coffee and no clear plan.

Research on ecological momentary assessment (EMA) - basically real-world symptom tracking - consistently shows that lower-burden, shorter check-ins improve adherence dramatically. EMA research on minimizing burden and improving adherence

Which honestly makes complete sense.

Most people can tolerate 30 seconds. One tap. A few lightweight questions while waiting for coffee.

Very few people want to complete a 100-question health survey every evening for the foreseeable future.

Including me.

Ok, not entirely true.

I grew up on Cosmo quizzes. If you promise me a deeply insightful report at the end, I will answer an alarming number of questions for the dopamine hit.

But try getting me to do it consistently for two weeks straight and suddenly we’re conducting a completely different psychological experiment.

The “Everything Changes Constantly” Problem

Once I started tracking more consistently, another problem appeared: bodies are noisy.

Hormones change. Sleep changes. Stress changes. Life changes.

Which means symptom severity can swing wildly day to day, making it incredibly difficult to tell whether something is genuinely improving or whether you just happened to get one decent night of sleep.

At first I kept trying to interpret individual days:

“Why was Tuesday such a disaster?”

But eventually I realized individual days often matter less than broader trends.

So instead of obsessing over every spike or dip, we started rolling symptom data up by the week.

That turned out to be dramatically more useful.

Because patterns started becoming visible.

• Anxiety gradually improving.
• Sleep steadily deteriorating.
• Emotional regulation stabilizing.
• Focus collapsing during certain cycle phases.
• Symptoms shifting after medication changes.

Not: “Tuesday was cursed.”

…which, to be fair, is sometimes true. 🤷

The “Humans Barely Notice Improvement” Problem

This one surprised me the most.

People are generally very good at noticing annoying symptoms.

• Pain gets attention.
• Anxiety gets attention.
• Hot flashes absolutely get attention.

But gradual improvements?

Apparently our brains quietly file those under “normal now.”

One of my biggest moments came when I realized my emotional regulation and rejection sensitivity had improved dramatically after starting ADHD medication.

To the point where they mostly weren’t issues anymore.

Which feels like a fairly important thing to notice.

And yet somehow… I hadn’t.

Not because the changes weren’t meaningful.

Because they happened gradually enough that my brain adapted to them in real time.

Without tracking, I honestly think I would have remembered the medication primarily as “the one that gave me dry mouth.”

Very sophisticated neurological processing happening over here.

Research actually supports this too: humans tend to overweight the loudest, most recent, and most emotionally charged experiences rather than the most representative long-term patterns. Research on how people remember health experiences over time

Which explains a lot.

So How Do You Actually Track 100+ Symptoms in Under a Minute?

Eventually I stopped trying to build the “perfect” tracking system and started building one designed for overwhelmed humans instead.

That changed almost everything.

Instead of asking users to review enormous symptom lists every day, Fine prioritizes roughly 10 symptoms at a time based on:

• how recently they were asked
• whether they were previously severe
• whether they appear to be changing
• whether we still need more data about them

Users can keep logging more symptoms if they want to.

But they don’t have to.

That distinction matters a lot.

The goal became: collect enough consistent data to identify meaningful patterns without making tracking feel like a second job.

Which also meant:

• lightweight daily reminders
• very short check-ins
• proactive prompts instead of blank journaling
• weekly trend smoothing instead of obsessing over daily chaos
• reducing cognitive load wherever possible

Because honestly, most people aren’t failing at symptom tracking because they’re lazy or undisciplined.

They’re failing because life is busy and their brains are already overloaded.

Especially the people who need symptom tracking the most.

The Real Goal Was Never “Better Tracking”

It was better pattern recognition.

Because at some point, the goal stopped being “track every possible symptom perfectly.”

And became “make it easier to see what’s actually happening.”

• What's improving.
• What's getting worse.
• What's changing.
• What's fluctuating.
• What's following your cycle.
• What might actually be connected.

And maybe most importantly helping people walk into appointments with something more useful than:

“I don’t know… I swear something is off.”

Because honestly, that’s where a lot of us started.