The early December morning carried a stillness that felt almost deceptive.
A steaming mug of hot tap water sat on my desk, the rising tendrils of vapor a fleeting, fragile calm.
Then came the Slack notificationâHUMMUS!
âIntegration pushes are all status âfailedââare we good?â
My founderâs message was succinct, but the gripping feeling in my chest was unmistakable.
Our largest customer had just pushed a major experience live yesterday, and despite weeks of QA, something had gone wrong.
Heavy expectations
Product management decision making is like designing something on Canva without the CMD+Z function (fun fact, it is 2025 and our app still doesn't have an undo/redo feature).
Every decision Iâve made feels irreversible, and every promise Iâve coded into our hamster-wheel app is an untested function waiting to break under unexpected load.
The stakes here werenât just about feature deliveryâthey were about trust, credibility, and our ability to scale our ICP into the enterprise and fortune 500 customer base.
HUMMUS!
Another Slack message fired off into the thread, this time from my lead developer.
âNot one âsuccessâ status.â
I stared at his words, my vision blurring as my contacts dried from not blinking.
â@channel,â I typed back, âcheck the field mappings. Be careful not to double up work.â
Our customer success manager chimed in shortly after.
âIncident email sent to Company Co.â
Good, I thought.
Our emergency systems were working, at least on the communication front.
But the product itself?
It was a nightmareâno error logs firing, the app seemed to be working fine, yet 100% of our integration API pushes were throwing a âfailedâ status in our reporting dashboard.
This wasnât good at all.
Putting on our debugging boots
Hours passed in a blur of diagnostics and desperate firefighting.
Each thread of conversation felt like a full auditâbecause it was.
Every bit of comms had to be reported into a Confluence incident report.
Finally, my lead developer dropped the first critical insight: âTheyâve added all the fields as hidden constants instead of prefilled ones.â
Hidden constants.
âAha!â a simple case of user error, but one that cascaded through the system like a misconfigured database migration.
I responded immediately: âPause the experience. Fix the fields. Update the mappings. Hopefully we won't have more than an hour of downtime.â
It was 8:15 A.M. and I was holding my team together with nothing but duct tape and this one shred of hope.
The API call that broke my spirit
Then came my Founderâs K.O. Slack punch, as sharp as a P.I.P. to the face:
âWe cannot unpublish an experience without client approval!â
ShitâŚ
One wrong move could take us from a controlled incident to full-on client escalation.
I was bound by my startupâs boilerplate SLA: do no harm, maintain trust, and deliver results.
I was on edge, not just because of the system failures but because the stakes felt deeply personal.
For every decision I made to fix this error ASAP, I felt like I was taking two steps back and causing more problems.
Ring ringâthe client calls
A new notificationâthis time no hummus.
It was Google Calendar.
âNew calendar event scheduled with Company Co.â
Before the notification could disappear, another one popped up.
âCompany Co. RCA starting in 1 minute.â
ShitâŚ
No time to even breathe.
I entered the meeting room at 8:37 A.M.
It felt as tense as a bad PM case interview.
My founder bumbled on with some generic niceties, but I could feel the weight of the customerâs concerns pressing down.
âWho authorized unpublishing our experience?â the customer CMO asked.
âWe had just sent out an email blast at 8:00 A.M. and now we are losing out on peak traffic,â the customer CRM Manager added.
I explained what weâd fixed and what we were investigating, but the imposter syndrome started to infect my composure.
Was I doing enough?
Had I overlooked something crucial?
When the call ended, I paced around my standing desk, replaying their words.
The clock was ticking.
Lunch time musings
In the quiet hours of lunch time, as my team caught what little rest they could, I let myself process the emotional load:
Every system is flawed,
every product, a patchwork.
But our job is not to make it perfect.
Itâs to keep it running,
despite the faults,
despite the cracks.
My thoughts settled over me like a poetic git commit to my soul.
Company Co. didnât need perfectionâthey needed accountability.
They needed a team that could own the failures, debug issues as they come, and feel like they can trust us through accurate, data-backed insights.
Whatâs the PM version of Popeye eating spinach?
By the following morning, the chaos had settled into something resembling progress.
My lead developer Slacked the first bit of good news:
âThe token issue is fixed. Reporting values are updated. Duplicates removed.â
It was a successful deployment, but this time, I knew better than to celebrate too early.
â@devteam, letâs run another round of tests,â I typed.
âI donât want any surprises when we hand this back to Company Co.â
As the hours passed, we rebuilt trust one deployment at a time.
My founder suggested a detailed post-mortem report for the clientâevery change documented, every fix timestamped.
It was transparency as a service (can I coin the term TaaS?), and it worked.
Company Co. saw that we werenât just scrambling to fix things; we were learning, iterating, and improving the product with every passing hour.
Wow, I might actually keep my job
When the final report was submitted, and Company Co. confirmed they were satisfied, I allowed myself a moment of reflection.
This project tested every aspect of my role as a product manager.
It wasnât just about shipping featuresâit was about resilience, communication, and staying calm under pressure.
Product management, I realized, is the epitome of Systems Thinking (thanks Donella Meadows).
You wonât have visibility into every working function, or every connection, therefore you must exercise your systems thinking abilities to foresee the peripheries of everything you do, because everything happens in the peripheries.
You canât promise it will always run smoothly, but you can promise youâll always be there to keep it glued together and operating.
FINAL REPORT
Lessons learned
- Clarity in Chaos: Clear communication is the best debugging tool. Keeping the team aligned prevented duplicated work and kept progress on track.
- Data is Your Source of Truth: Comparative metrics and behavioral data helped frame discussions with the client, turning potential conflict into collaboration.
- Trust is a System You Must Maintain: Much like anything in tech, customer trust also requires constant monitoring and proactive maintenance.
- Perfection is a Myth: Your product will never be flawless. What matters is your ability to adapt, iterate, and improve.
Final thoughts: building resilient systems and relationships
Company Co.âs project was a trial by fire, but it left me with more than just singed nerves.
It left me with a deeper understanding of what it means to be a product manager.
We are the architects of experiences, the maintainers of systems, and the guardians of promises.
So hereâs to the chaos, the clarity, and the moments of triumph that make it all worthwhile.
Like a resilient system, we learn, we adapt, and we keep goingâbecause thatâs what the role demands.
And honestly?
Thatâs why we love it.
K bye.