Guide
WaTrue works entirely from metadata: when a message happened, with whom, and in which direction. Not a word of what was said. That single constraint decides everything this product can and cannot do — so it is worth being precise about both.
Think of an old itemised phone bill. It lists who you called, at what time, and for how long. It does not contain the conversation. Metadata is the itemised bill of a messaging app.
People often assume this is the weak version of the data. It isn't — it is a different kind. Content tells you what was said once. Metadata tells you the shape of a relationship over time, which is frequently the more informative of the two.
| Question | How metadata answers it |
|---|---|
| When is this number active? | Timestamps grouped by hour and by day produce a daily rhythm. |
| Is activity rising or falling? | Daily totals over weeks show trend, which single days never do. |
| Who dominates a conversation? | The sent-versus-received ratio per contact. |
| Breadth or depth? | Number of distinct conversations versus messages per conversation. |
| Has a pattern changed? | Comparing this week's shape against previous weeks. |
The common thread: metadata is good at patterns across time. Every genuinely useful thing on your dashboard is a pattern, not an event.
This is the part most people get wrong, and it is worth more than the rest of this page.
Metadata is precise — the timestamps are exact. Precision feels like truth, and that is exactly where the error creeps in. A chart showing activity at 2am is a precise fact. Every explanation for it is a guess, and there are usually a dozen: a different time zone, a work emergency, insomnia, a group chat someone forgot to mute, a phone handed to a family member.
The data is evidence of a pattern, never evidence of a reason. Anyone who tells you a messaging chart proves something about a person's intentions is selling certainty that the data cannot produce.
The honest way to use this product is the way you would use a fitness tracker: excellent for noticing that something changed, useless for explaining why. The explanation still requires a conversation with a human being.
Every chart on the dashboard is computed from timing, direction, and conversation grouping. Adding message content would not improve a single number — it would only concentrate risk in a database. The line is where it is because moving it would cost a great deal and buy nothing.
The exact field list, who can reach your dashboard, and what deletion removes.