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Sync status
Metabase → Supabase pipelineLoading…
View sync detail
| Source | Last sync (IST) | Last batch | Sync ID | Status |
|---|---|---|---|---|
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Delivered orders
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Winnable demand
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interim proxy: >15s cancels + assigned
Capture of winnable
—
delivered ÷ winnable demand
Median fulfillment
—
assigned → delivered
Order funnel
the master view: every broadcast order → shown → accepted → fulfilledLoading…
Standardized definitions
| Total orders | Every network order broadcast to Bounce in the period (by created time). Includes orders that cancel in seconds. |
| Shown to ≥1 rider | ≥1 order-ping logged for the order. Measures pings actually sent, not eligibility. The ping feed can lag the order feed by a few days — check Sync status before reading the latest period. |
| Accepted | A rider was assigned to the order (assignment observed in order states — same definition as the accept-rate panels). |
| Fulfilled | Order reached state DELIVERED. |
Fleet overview
every week on record — the scope bar above drives everything belowWeekly trend
Monday–Sunday · every complete/in-progress week on record| Week | Riders engaged | Riders w/ orders | % zero orders | Median orders | Orders/login-hr | Total orders | Avg drop km |
|---|---|---|---|---|---|---|---|
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Active riders
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Utilization
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% of engaged fulfilling ≥1 order
Orders / active rider
—
delivered ÷ active riders
Accept rate
—
pinged → assigned & delivering
Rider funnel
the master view: every engaged rider → online → pinged → accepting → fulfillingLoading…
Standardized definitions
| Total riders | Riders engaged: any session or ping recorded in the period. |
| Online ≥ x min | Total online duration in the period ≥ the cutoff (paired online/offline events from rider sessions). Cutoff selectable above. |
| Got ≥1 ping | Received at least one order ping. The ping feed can lag the order feed by a few days — check Sync status. |
| Accepted ≥1 | Accepted at least one order (pinged → assigned & delivering — same definition as the accept-rate panels). |
| Fulfilled ≥1 | Delivered at least one order in the period. |
Rider engagement
who showed up, how long they stayed online, what they carriedNew vs. old riders
tenure ≤7d vs >7d since first session| Segment | Riders | % zero orders | Median orders | Mean orders | Mean pings | Mean login hrs |
|---|---|---|---|---|---|---|
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Login-hour split
Rider-days, by daily login duration| Login hours | Rider-days | % zero orders | Median orders | Mean orders | Orders/login-hr |
|---|---|---|---|---|---|
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Orders/login-hr flat across buckets = day-level averages are skewed by hours logged in, not by rider productivity.
Orders/hr by drop distance
Rider-days with ≥1 order, by avg drop distance| Drop distance | Rider-days | Avg login hrs | Avg orders | Orders/login-hr |
|---|---|---|---|---|
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Overall
weighted average across every active pilot rider, pre → post — the headline trendOrders per hour
Cancelled-after-assignment %
Delivery distance (km)
Notification burst %
Combined summary
Loading…| Period | Login hrs | Assigned | Delivered | OPH | Mkt OPH | Cancel % | Mkt Cancel % | Km | Mkt Km | Burst % | Mkt Burst % |
|---|---|---|---|---|---|---|---|---|---|---|---|
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Rider level
pick a rider for their individual day-by-day and pre/post numbersZone / activated
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Post OPH vs marketplace
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Post cancel % vs marketplace
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OPH change, pre→post
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Day-by-day
rider vs marketplace (trimmed 10–90%ile average), all available data since 7 days before activationOrders per hour
Cancelled-after-assignment %
Delivery distance (km)
Notification burst %
Overall
7-day pre vs post window vs marketplaceOPH & cancellation %
Delivery distance & burst %
Day-level detail
live from Supabase — refreshes automatically every ~20 min| Date | Phase | Login hrs | Assigned | Delivered | OPH | Mkt OPH | Cancelled | Cancel % | Mkt Cancel % | Km | Mkt Km | Account | Pings | Burst % | Mkt Burst % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Select a rider… | |||||||||||||||
Pre/Post = 7 calendar days (IST) around each rider's zone activation date. Marketplace = trimmed average of all active riders that day (values between the 10th and 90th percentile). Delivery km = pickup→drop route length.