| # | Test Scenario | Expected Result | |---|----------------|-----------------| | | Load the dashboard as an unauthenticated visitor and search “snow‑removal”. | Results show only aggregated counts and a map; no user‑specific data or PII appears. | | AC‑02 | Submit a chat containing the phrase “my address is 123 Main St, Apt 4B”. | In the stored record, the address is replaced with “[REDACTED]”. | | AC‑03 | Configure an alert: “If > 50 reports of “power outage” in ZIP 94102 within 1 hour, send email”. | When the condition is met, an email with a summary is delivered within 5 minutes. | | AC‑04 | Export the “housing‑affordability” dataset for the past 7 days as a CSV. | File contains 10 k rows, each with timestamp, category, sentiment, zip code, but no PII. | | AC‑05 | Run a load test of 200 concurrent dashboard users performing random searches. | 95 % of requests respond < 2 seconds; no HTTP 5xx errors. | | AC‑06 | Review the audit log for a random day. | Every transformation step (redaction, classification, sentiment) is recorded with timestamps and the system version. | | AC‑07 | Switch the UI language to Spanish. | All static UI strings appear in Spanish; data values remain language‑neutral. |
| # | As a… | I want to… | So that… | |---|-------|------------|----------| | 1 | | Search “public transport delays” and see a map of recent reports and official responses. | I can decide whether to use alternative routes or contact my city council. | | 2 | City Planner | Receive an email alert when > 30 % of daily interactions mention “heat‑wave” in a specific zip code. | I can deploy cooling stations before the situation worsens. | | 3 | NGO Analyst | Export anonymized CSV of all “housing‑affordability” queries for the last 30 days. | I can incorporate the data into my advocacy report. | | 4 | Product Manager | View a KPI panel showing “Top‑5 unanswered topics” and average response time. | I can prioritize content updates and training data. | | 5 | Privacy Officer | Verify that no personally‑identifiable information (PII) ever appears in the public view. | We stay compliant with GDPR, CCPA, and local open‑data laws. | ava dalush public agent
| Stakeholder | Pain Point | How the Dashboard Helps | |-------------|------------|--------------------------| | | Hard to know if their issue is “common” or if others are facing the same problem. | They can search the dashboard, see similar queries, and learn about existing resources or upcoming actions. | | Local Government / Agencies | Manual triage of thousands of chatbot interactions is slow and error‑prone. | Automated trend detection flags spikes (e.g., water‑outage reports) for rapid response. | | NGOs & Advocacy Groups | Lack of timely data on community concerns hampers campaign planning. | They get filtered, anonymized datasets to inform outreach and policy proposals. | | Ava Dalush Team | No feedback loop on the agent’s performance or knowledge‑gap areas. | Dashboard metrics show unanswered questions, sentiment dips, and content gaps for continuous improvement. | | # | Test Scenario | Expected Result
As we conversed, I discovered that Ava was on a mission to facilitate a high-stakes negotiation between two rival nations, on the brink of a potentially catastrophic conflict. Her role, as a public agent, was to act as a liaison between the parties, using her vast network and expertise to find a peaceful resolution. | In the stored record, the address is
Throughout her career, she collaborated with several major production networks and well-known studios within the adult industry, including Penthouse and DDF Network. Her participation in the "Public Agent" series became a notable part of her filmography, contributing to her visibility among fans of that specific format. The "Public Agent" Format and Style