Question
When looking at MAUs, do you find raw numbers or rolling averages to be more useful?
The rolling averages definitely make for cleaner charts, and it's helpful that they remove spikiness that isn't particularly insightful. But, it also seems like it paints such a clean picture that I wonder if it causes you to miss important data.
So, just curious how people who use Mixpanel/Amplitude/Heap/etc. think about this.
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Do both
Rolling averages are useful for directionality, daily spikes are useful for telling you what's going on. (Forest vs trees.) Good charts help you ask (and then answer) questions, and provide good context for those questions.
Rolling averages provide the context, granular charts provide the why.
Do both. Hell, you do both on the same chart.
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I agree with this. I tend to use both, and use them for different things:
week to week, looking at the raw numbers is useful to answer questions like "did we do better this week than last week"
On a more zoomed out view across a year or so, it's helpful to look at rolling averages to get a clear picture of the trends.