How to Read Your AskBiz Daily Brief
The Daily Brief is your morning business summary. Here's how to get the most out of it in under five minutes.
Key Takeaways
- The Daily Brief is delivered by 7am in your local time zone.
- It covers yesterday's performance, anomalies, and one key insight or action.
- Click any number in the brief to drill down into the underlying data.
The structure of your Daily Brief
The AskBiz Daily Brief has five sections: Yesterday's Headline Numbers (revenue, orders, gross margin — your most important top-line metrics). Trends (how yesterday compared to the same day last week and last year). Anomalies (any metric that deviated significantly from its expected value). Top Movers (best and worst performing products, channels, or customer segments yesterday). Today's Focus (one AI-generated actionable insight or question based on the patterns in your data).
Reading the trend indicators
Each metric shows an arrow indicator: green up-arrow (improving vs comparison period), red down-arrow (declining), grey flat-arrow (stable). Next to the arrow is the percentage change. A red down-arrow on revenue is not always bad — if you know yesterday was a public holiday, the comparison is misleading. Use the indicators as prompts for investigation, not definitive judgments.
Acting on anomalies
The anomaly section is the most time-sensitive part of the brief. If conversion rate has dropped 40% overnight, that may indicate a checkout page error and needs immediate investigation. If refund rate has spiked on a specific product, a quality issue may need addressing. Click each anomaly to see the metric history and understand whether this is a one-day blip or the start of a trend.
Customising your brief
Go to Settings > Daily Brief to customise which metrics appear and in what order. You can also adjust the comparison period (vs last week, vs last year, vs a custom baseline) and configure the delivery time if 7am doesn't work for your timezone. Adding team members to Brief distribution means your whole team starts the day from the same data.