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Raw data loses value. A click or a view means something today. In six months, it means nothing.
Many teams collect too much data. They have charts but no clarity. They make decisions based on memory or opinion. This makes software work hard to evaluate.
Add context to your events. Include these details:
- Workflow name
- Outcome state
- Source
- Release context
- Retention rule
Do not track every action. Focus on signals. Signals help you act with confidence.
Name your workflows. Keep outcomes visible. Show uncertainty.
Test your data. Ask this: Does a new person understand this event without asking you?
If the answer is no, your data is incomplete.
Good systems explain their own state. They show what happened. They show what changed. They tell you which decision comes next.
Stop chasing more data. Focus on the right signal.
Source: https://dev.to/webmasterid/analytics-events-need-context-to-stay-useful-27m2