| Role | Responsibility | |------|-----------------| | | Prioritises PFES‑011 backlog, defines acceptance criteria. | | Clinical Operations Manager | Sets alert thresholds, validates sentiment relevance. | | Compliance Officer | Ensures PHI handling, audit trails, data‑retention policies. | | Data Science Team | Provides sentiment models, monitors drift, updates thresholds. | | Platform Engineering | Implements streaming pipeline, scaling, monitoring. | | UX/UI Designer | Designs dashboard, config UI, ensures accessibility. | | QA/Test Lead | Crafts functional, performance, security test suites. | | Support Desk | Receives alerts, escalates incidents, logs actions. |
The title of the release translates to themes involving an office-based narrative. Specifically, it is described as "My Lady Boss Lured Me To Temptation," featuring a scenario where a subordinate and a female boss spend the night together. PFES-011
Is there a specific (like a cardigan or pullover) you want to highlight? | Role | Responsibility | |------|-----------------| | |
Hikari Sena is recognized for her roles in various themed productions throughout her career. Her performance in PFES-011 is often noted for its focus on character-driven scenarios within the "Office Lady" subgenre. | | Data Science Team | Provides sentiment
| FR ID | Description | Priority | |-------|-------------|----------| | | Real‑time ingestion : All feedback events from existing sources (Kiosk, Web, Mobile, Email, SMS, Social) must be published to a Kafka topic within ≤ 2 seconds of receipt. | Must | | FR‑2 | Streaming sentiment scoring : Each event must be enriched with a sentiment score (range –1.0 to +1.0) using the hybrid model (rule‑based + transformer). Latency per event ≤ 150 ms. | Must | | FR‑3 | Language detection & routing : Auto‑detect language (English, Spanish, Mandarin, Arabic, French, German) and apply the appropriate language‑specific model. | Should | | FR‑4 | Dashboard UI : Provide a single‑page web dashboard with: • Global sentiment line chart (rolling 24 h). • Heat‑map by clinic location & service line. • Table of “Top 10” most negative feedback items (with raw text). • Configurable time window selector (5 min, 15 min, 1 h, 24 h). | Must | | FR‑5 | Alert engine : Allow users to define threshold‑based alerts (percentage negative, absolute count, rate of change). Alerts must be sent via: • Email • Slack webhook • ServiceNow incident creation. | Must | | FR‑6 | Config UI : A “Rules & Settings” page where users can: • Add/edit/delete alerts. • Choose model version per language. • Set retention period for raw feedback (default 30 days). | Should | | FR‑7 | Audit logging : Every scoring event must be recorded in an append‑only immutable log (e.g., AWS QLDB or Azure Confidential Ledger) with fields: event‑id, timestamp, model‑version, language, sentiment‑score, raw‑text hash, user‑id (if applicable). | Must | | FR‑8 | Data retention & purge : Raw feedback text must be automatically deleted after the configured retention period, while aggregated sentiment statistics remain. | Must | | FR‑9 | Model versioning : The system must expose an API endpoint to query the active model version for each language and support hot‑swap without downtime. | Should | | FR‑10 | Metrics exposure : Export Prometheus metrics for: • Ingestion lag (Kafka offset lag). • Scoring latency (p95). • Alert firing count. | Must | | FR‑11 | Fail‑over handling : If the sentiment service is unavailable, events must be persisted to a dead‑letter queue and re‑processed once the service recovers. | Must | | FR‑12 | Accessibility : All UI components must meet WCAG 2.2 AA standards (color contrast, keyboard navigation, ARIA labels). | Must | | FR‑13 | Internationalisation : UI strings must be externalised; initial localisation for English, Spanish, French. | Should | | FR‑14 | Performance : Dashboard page load ≤ 3 seconds on a 3G connection, ≤ 1 second on broadband. | Should | | FR‑15 | Security : All traffic must be TLS 1.3, JWT‑based authentication with role‑based access control (RBAC). PHI must never be logged in plaintext. | Must |