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SaaS ideas, mined from what people actually complain about.

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Metric Definition Conflicts

Teams define the same business metrics differently, causing dashboards to be distrusted, disputed, and rebuilt.

In their words

those reporting meetings used to be the absolute worst part of my week

r/PPC on Reddit

Management wants numbers, what KPIs do we give them?

r/ExperiencedDevs on Reddit

I ended up spending almost an hour answering Slack messages about why revenue in one report didn't exactly match another

r/analytics on Reddit

It pains me deeply to see all these decisions being made with no data or metrics.

r/askmanagers on Reddit

every team wanted their own version of the same metric with slightly different logic

r/analytics on Reddit

each time they want something new I have to manually code the new columns test it then append to the final gold table

r/dataengineering on Reddit

I agree that we need more ways to embed situational context and documentation (with markdown)

r/PowerBI on Reddit

The most annoying part wasn’t building the dashboard; it was getting everyone to agree on what the numbers actually meant.

r/BusinessIntelligence on Reddit

What exactly is the criteria or pattern that leads to a performance plan?

r/Progressiveinsurance on Reddit

Two teams say "active user" and mean two different things. Nobody notices until a dashboard migration or a stakeholder meeting where the numbers don't match

r/dataanalysis on Reddit

How do you clean up 10 years of metric sprawl? Looking for a framework

r/BusinessIntelligence on Reddit

They can't even align on the NAMES of things. Not even the names of locations have the same thing across reports.

r/PowerBI on Reddit

It wasn’t until I showed some basic charts about our core database being oversubscribed and at risk of a more serious incident.

Hacker News

different parts of the organization had a different idea of what a "user" of the core product was

Hacker News

Analytics and business teams

Where they talk

  • r/analytics
  • r/PowerBI
  • r/BusinessIntelligence
  • r/dataanalysis
  • r/datascience
  • r/SaaS
  • r/dataengineering
  • r/hubspot

Tools they use today

  • Databricks
  • Power BI
  • dbt
  • Cube
  • Excel
  • Claude
  • Genie
  • Tableau

Why those fall short

  • no single place where metric definitions live and reports pull from
  • no shared semantic layer; definitions copy-pasted and drift across workbooks
  • users still complain data is wrong
  • no single documented source of truth for metric definitions
  • Metrics reflect others' delays and site behavior, not CRA performance