Lounge & Premium Experience Management
Customer Experience & Loyalty › Customer Experience Operations · 18 L4 steps · 5 phases · 6 decision gates · Updated 2026-03-18 22:16
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Process Flow Diagram (BPMN)
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L4 Process Steps
| Step | Step Name | Role / Swim Lane | System | Input | Output | KPI | Dec? | Exc? |
|---|---|---|---|---|---|---|---|---|
Phase 1 1.1 |
Retrieve passenger PNR and loyalty tier status | Lounge Agent | Amadeus Altéa PSS | Passenger boarding pass or loyalty card scan at lounge entry | Confirmed PNR, fare class, and loyalty tier record | Access verification time < 30 seconds per passenger | N | N |
| 1.2 | Validate lounge entitlement against fare and tier | Lounge Agent | Comarch Loyalty Management | PNR, fare class code, loyalty tier from step 1.1 | Entitlement decision (Eligible / Not Eligible) and access tier (Standard / Premium / First) | Entitlement accuracy rate ≥ 99.5% (no wrongful denial or admission) | N | Y |
| 1.3 | Check real-time lounge occupancy vs. capacity cap | Lounge Operations Supervisor | SITA Airport Management System (AMS) | Live occupancy count from SITA AMS badge-in sensors; configured capacity limit per lounge | Current occupancy percentage; green / amber / red capacity status | Lounge occupancy maintained at ≤ 90% of rated capacity during peak banks | Y | N |
| 1.4 | Issue digital lounge access pass or redirect passenger | Lounge Agent | Amadeus Altéa PSS | Entitlement decision from 1.2; occupancy status from 1.3 | Digital lounge pass (QR code) issued to eligible passenger, or voucher / priority queue token issued when capacity exceeded | Guest satisfaction with access process ≥ 4.2 / 5.0 (post-visit survey) | N | Y |
Phase 2 2.1 |
Forecast lounge demand from departure schedule | Lounge Planning Analyst | Amadeus SkyWORKS | Published schedule SSIM file; historical lounge utilisation by departure bank; loyalty tier passenger mix from Comarch | Hourly demand forecast per lounge (expected arrivals by tier) for next 72 hours | Forecast accuracy within ± 10% of actual peak occupancy | N | N |
| 2.2 | Generate staffing and F&B resource plan | Lounge Operations Manager | Tableau / Power BI | 72-hour demand forecast from 2.1; staffing contracts and F&B par levels | Shift roster, F&B order quantities, amenity replenishment schedule | Staff-to-guest ratio ≥ 1:15 during peak departure banks; F&B stockout rate < 1% | Y | N |
| 2.3 | Submit F&B and consumables requisition to catering | Lounge Operations Manager | SAP Ariba | F&B order quantities from 2.2; approved supplier catalogue | Purchase orders raised in SAP Ariba; delivery confirmed for T-3 hours pre-departure bank | Catering order fulfilment rate ≥ 98% within agreed lead time | N | N |
| 2.4 | Activate surge staffing protocol for high-load windows | Lounge Operations Supervisor | SITA Airport Management System (AMS) | Forecast showing > 80% occupancy in any 30-minute window; SITA AMS flight load alerts | Surge staffing confirmation; overflow lounge section opened (if available); partner lounge access tokens issued | Surge activation lead time ≤ 2 hours before predicted peak; guest wait time at entry ≤ 5 minutes | N | Y |
Phase 3 3.1 |
Retrieve passenger profile and service preferences | Lounge Concierge | Salesforce CRM | Confirmed PNR and loyalty ID from step 1.1 | Passenger profile: dietary preferences, language, past complaints, upgrade history, service notes | Profile retrieval at lounge entry < 15 seconds; preference recognition rate ≥ 85% of repeat premium guests | N | N |
| 3.2 | Flag VIP, VVIP, and special service requests on manifest | Premium Services Coordinator | Amadeus Altéa PSS | Day-of-operations manifest; CRM profile flags from 3.1; SSR codes (VVIP, WCHR, MEDA, SPML) | Annotated manifest with VIP tier flags, SSR types, and assigned concierge owner per passenger | 100% of SSR-flagged premium passengers identified ≥ 90 minutes prior to departure | Y | Y |
| 3.3 | Coordinate personalised amenity kits and premium meal setup | Premium Services Coordinator | SAP Ariba | Annotated manifest from 3.2; dietary and preference data from Salesforce CRM; catering delivery confirmation from 2.3 | Personalised amenity kit assignment per seat; meal pre-selection recorded in catering order | Meal pre-selection accuracy ≥ 97%; amenity kit shortfall rate < 0.5% of premium seats | N | N |
| 3.4 | Activate meet-and-greet and dedicated butler for VIPs | Lounge Concierge | Salesforce CRM | VIP / VVIP flag from step 3.2; expected arrival time from SITA AMS inbound flight status | Named concierge assigned to VIP; curbside or airside meet-and-greet schedule confirmed; butler service briefing completed | VIP meet-and-greet execution rate 100% of flagged passengers; greeting delay < 5 minutes from arrival | N | Y |
Phase 4 4.1 |
Execute lounge F&B, spa, and digital amenity service | Lounge Service Attendant | SITA Airport Management System (AMS) | Active guest list from SITA AMS lounge occupancy module; F&B stock confirmed in 2.3 | Service log per guest (items consumed, special requests fulfilled, service timestamps) | F&B replenishment cycle ≤ 20 minutes; spa booking wait time ≤ 10 minutes; Wi-Fi uptime ≥ 99.9% | N | N |
| 4.2 | Broadcast boarding gate notifications to lounge guests | Lounge Operations Supervisor | SITA Airport Management System (AMS) | Gate departure T-30 and T-15 alerts from SITA AMS flight information display system (FIDS) | Visual and audio boarding alerts in lounge; individual SMS / app push notifications to guests | Boarding notification issued ≥ 30 minutes before STD; missed notification rate < 0.1% | Y | N |
| 4.3 | Escalate and resolve in-lounge SSR requests | Lounge Concierge | Amadeus Altéa PSS | Guest SSR codes from step 3.2; real-time service requests raised at lounge reception | SSR resolved or escalated to operations; record updated in Altéa PSS with resolution notes | SSR resolution within lounge: ≥ 90% within 15 minutes; escalation to operations < 5% of SSRs | N | Y |
| 4.4 | Execute no-show baggage offload for gate-close no-shows | Lounge Operations Supervisor | Amadeus Altéa PSS | Final boarding close signal from SITA AMS; passenger no-show confirmation from gate agent | Offload order issued in Altéa PSS; baggage reconciliation request sent to ramp; lounge access record closed | Baggage offload completion within 15 minutes of gate close; no-show offload accuracy 100% | Y | Y |
Phase 5 5.1 |
Capture post-lounge NPS and satisfaction scores | Customer Experience Analyst | Medallia Experience Cloud | Lounge visit closed (guest departed for gate); guest contact details from Amadeus Altéa PSS | NPS score per visit; free-text feedback categorised by theme (F&B, Staff, Comfort, Connectivity) | Survey response rate ≥ 35% of lounge visitors; Lounge NPS target ≥ 75 | N | N |
| 5.2 | Review KPI dashboard and trigger service recovery if below threshold | Premium Experience Manager | Tableau / Power BI | Aggregated NPS scores, occupancy data, F&B stockout events, SSR resolution rates from Medallia and SITA AMS | Weekly KPI report; service recovery action plan if NPS < 75 or complaint rate > 2%; trend analysis by station | KPI dashboard refresh latency ≤ 24 hours; corrective action plans issued within 48 hours of threshold breach | Y | N |
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