I thought document analytics was the problem — turns out it’s interpreting behavior correctly
When I started building DocMetrics, I assumed the value was tracking document engagement.
But users don’t struggle with tracking.
They struggle with interpreting what the signals actually mean:
silence vs disinterest
opens vs intent
revisits vs hesitation
Curious what signals you personally trust the most today?
From sifting Reddit/HN pain signals: I trust workarounds way more than complaints. Both are signals, but the second is cheap (talk vs action). Probably the same in docs:
Cheap signals are noise. Effort-bearing signals are signal.
(Building MonetScope around exactly this distinction — that's the only context I have on it.)
This is actually a really useful distinction.
The more conversations I have around DocMetrics, the more I realize repeated low-effort activity can easily create false confidence.
A single specific question after silence often says more than 20 passive opens.
That's exactly the failure mode — and the harder one to spot because cheap-but-frequent signals create satisfying-looking graphs. "Specific question after silence" is great because it has both: weight per event AND it cuts through noise.
I'd add a third tier: behavior that happens BETWEEN sessions — forwarding the doc, copying sections outside the product, returning days later with a specific question. Hardest to log but probably most predictive of conversion.
That third tier is the most interesting part — the “between sessions” behavior is usually where the real intent shows up.
Hardest signals to capture, but probably the closest thing to actual buying intent.
honestly teh only signal that is definately real is when someone gives you their actual time or money. like if they agree to a 20 minute call to complain about the problem or if they put in their card details. everything else like opens or page visits is mostly noise and it is super easy to read whatever you want into them to make yourself feel better.
I actually agree with this more than I would have a few weeks ago.
The more conversations I have, the more I’m realizing individual signals are weak on their own.
What seems more interesting is whether patterns over time help reduce uncertainty before the “real” commitment signals happen.