At a glance
Checkout-Path Frustration Events is the highest-stakes frustration card. It counts frustration signals, rage clicks, dead clicks, error clicks, occurring specifically on cart and checkout pages. Friction anywhere on the site costs engagement, but friction here costs money directly: every event is a paying visitor hitting a wall at the moment of purchase. The guardrail is deliberately strict, anything above zero on checkout pages deserves a look, because the cost per event is so high.
| What it counts | The number of frustration-signal events captured by FullStory on cart and checkout pages in the period. |
| Sample type | Backend API data from FullStory, refreshed on the standard data refresh. |
| Why it matters | These are direct revenue blockers. A frustration event at checkout is a visitor who wanted to buy and was stopped by the interface, the most expensive friction on the site. |
| Reading the value | Treat any non-zero reading as worth a replay review. Rising counts on checkout warrant immediate attention and usually map to a specific broken control. |
| Currency | count |
| Time window | 7D |
| Alert trigger | >0 on checkout pages |
| Sentiment key | fs_checkout_path_frustration |
| Roles | owner, marketing |
Calculation
Calculated automatically from your FullStory data. Vortex IQ filters FullStory frustration-signal events to those occurring on cart and checkout URLs and counts them for the period. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A representative reading of Checkout-Path Frustration Events for a typical merchant on FullStory. Suppose the card shows 62 events over 7 days where it normally shows near zero. Filtering the replays, most are rage clicks on the “Place order” button, which stays greyed out until a hidden terms checkbox is ticked, with no visible prompt. Adding an inline message clears the confusion and the count falls back to baseline. Each of those 62 events was a near-miss sale. For deeper investigation, use Vortex Mind to pinpoint the checkout step; for natural-language exploration, ask Ask Viq what is going wrong at checkout.Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
fs_alert_conversion_drop | The alert that fires when these events spike. |
fs_form_abandonment_rate | Checkout friction often shows up as form abandonment. |
fs_error_click_rate | Hard defects on the checkout path. |
ful_cart_abandonment_rate | The downstream commerce outcome this drives. |
fs_xc_session_quality_vs_cart_abandonment | Ties checkout frustration to abandonment over time. |
Reconciling against the vendor’s own dashboard
Where to look in FullStory’s own dashboard: In FullStory, build a segment scoped to cart and checkout URLs and filter to frustration-signal events. Confirm the URL pattern and period match the Vortex IQ profile to reconcile cleanly. Why the Vortex IQ value may legitimately differ:| Reason | Direction | What to do |
|---|---|---|
| Checkout URL pattern. Which URLs count as “checkout” must match between the two views. | Variable | Align the URL definition. |
| Period boundary. Vortex IQ uses a 7-day window by default; FullStory dashboards may use calendar periods. | Variable | Match the period range. |
| Segment scope. Bot or internal traffic exclusion may differ. | Variable | Match segment and filter settings. |