Insist on the Highest Standards: Short-Term vs Long-Term Decision
Situation
Our product team was days away from launching a new analytics dashboard. Everything worked — except one major issue: the metrics were being calculated with slight inconsistencies between two environments, due to a mismatch in how dates were being parsed (UTC vs local).
From a UI standpoint, it looked fine. But technically, the data had edge case misalignments that could mislead customers.
Task
I had to decide whether to flag the issue and delay the launch, or ship it “as-is” and promise a patch next sprint. The business team was pressuring us to hit the quarterly announcement — but I knew that if even one enterprise customer questioned the data, trust could erode.
Action
I raised the issue with the product and data engineering leads, explained the long-term risk, and proposed a rapid but high-integrity fix. It required two extra days of work to standardize timestamp parsing across all pipeline inputs and refresh the cached queries.
- 📦 Introduced a global date handling utility (`parseToUTC`)
- ✅ Wrote regression tests for common time zones
- 📊 Validated parity between environments with real data snapshots
// utils/dates.ts
export function parseToUTC(dateString: string): Date {
return new Date(Date.parse(dateString + " UTC"));
}
Result
We delayed the launch by 48 hours — and received praise from our first major customer for how “clean and consistent” the data was. Our QA team reused the tests for other dashboards, and my decision became a reference point for how we define “done” in future projects.
A few months later, I was invited to co-write our team’s new data QA checklist and standards documentation — ensuring these practices scaled beyond one project.
Reflection
- 🎯 Speed is important — but not at the cost of trust.
- 🧪 High standards aren’t about perfection, but consistency and clarity.
- 💬 You must advocate for quality, even when it’s uncomfortable.
- 📚 Raising the bar once often inspires others to follow.
FAQ
How do I push back when stakeholders want to rush?
Use customer trust and data integrity as your argument. Share concrete risks. Offer a specific path to fix — not just a “no.”
Is it okay to ship “good enough” sometimes?
Yes — but know where your red lines are. Highest standards doesn’t mean “never ship” — it means “don’t compromise where it truly matters.”
How do I get others to raise their standards?
Lead by example. Document what “great” looks like. Celebrate when someone catches an edge case or polishes UX — show that it matters.