Marvis Triage for a 'Slow Wi-Fi' Ticket Storm
A retail chain operates 140 stores and 2,400 Mist APs. The service desk receives about 900 tickets per month; 40% are 'slow Wi-Fi' and 25% are 'POS offline'. Marvis is enabled at 80 stores. At store 218, six APs serve 40 clients, including 12 POS handhelds. A ticket says the handheld at the back dock is slow. Marvis for that client reports: connected to AP-Back-01 at -74 dBm on 2.4 GHz, retry rate 44%, DHCP 1.2 s, WAN latency normal, Coverage SLE 63%, Roaming 70%. The store has concrete walls and the AP is ceiling-mounted near the stockroom. The store manager wants an immediate fix and a way to stop similar tickets. Marvis Actions shows three other stores with the same model handheld and coverage alerts.
1. How should the technician use Marvis to confirm the root cause before changing anything?
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Use Marvis at the client level, not just the site level. Review the client timeline for the handheld: association history, RSSI, band, retry rate, DHCP time, and roaming events. Ask Marvis which nearby APs the client can see and compare the -74 dBm connection on 2.4 GHz with the signal from APs closer to the dock. Check the RF neighborhood for co-channel interference and transmit power. The WAN latency is normal and DHCP completed in 1.2 s, so those are not the primary cause. Coverage SLE 63% and 44% retries point to poor RF at the dock, likely aggravated by concrete walls and a ceiling AP placed near the stockroom. Confirm with a site survey or Marvis neighbor data before moving hardware or changing power.
2. What fix and validation would you recommend for store 218?
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The immediate fix is to improve RF at the dock: relocate AP-Back-01 to reduce obstruction, add a small AP or directional antenna near the dock if cabling allows, or adjust nearby AP power so the handheld associates to a better neighbor. Enable band steering so capable POS handhelds use 5 GHz if they support it, and review 2.4 GHz minimum basic rates to reduce airtime consumption. After the change, validate with the same client: RSSI better than about -67 dBm, retry rate below 10%, stable roaming, and Coverage SLE trending upward. Recheck at different times of day, because stockroom doors and forklift movement can change RF. Do not close the ticket on a single successful ping; use Marvis client events and SLE trends for at least one business day.
3. How can Marvis Actions and org-level reporting reduce ticket volume across 140 stores?
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Marvis Actions can aggregate recurring issues across sites, such as coverage problems, AP offline events, DHCP failures, or bad cables, and prioritize them by impact. Since Marvis Actions already shows three other stores with the same handheld model and coverage alerts, the chain can treat this as a pattern rather than four isolated tickets. Create a proactive work queue for stores with coverage below an agreed threshold or repeated POS roaming failures, and send the store list to field services before users open tickets. Use org-level reporting to compare stores and confirm whether the issue follows the handheld model, AP placement, or a specific store design. Marvis is only enabled at 80 stores, so prioritize extending entitlement to high-ticket stores and use the remaining stores' SLE data for manual triage.