Tarun R

Most startups don’t lack data. They lack decision clarity.

Typical reporting flow:

Raw Data → Manual Work → Messy Sheets → Confusing Dashboards → Slow Decisions

Better analytics system:

Data Sources ↓ Automated Reporting ↓ Decision-Focused KPIs ↓ Clear Dashboards ↓ Faster Product...

One of the biggest mistakes in product analytics: Tracking too many metrics but understanding none.

In many teams, dashboards become a collection of numbers instead of a decision-making system.

A better approach: • Start with key product questions • Map metrics to user journeys •...

Most startup dashboards fail for one simple reason: They show data, but not decisions.

I recently worked on restructuring a performance dashboard where the team had 40+ metrics but no clear insight on what to act on.

What I changed: • Reduced metrics to decision-driving KPIs •...

How I Automated a Weekly Business Report Using AI + Google Sheets

A product team was spending ~5–6 hours every week manually updating performance reports. Most of the time went into data cleaning, repetitive calculations, and formatting dashboards.

I built an automated reporting...