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Personas

SarOhayon edited this page Sep 25, 2025 · 50 revisions

Personas

Personas

Persona Key Details Goals & Needs Pain Points Implications for Design
Commuter Carl Age: 25–50
Works: Downtown or commutes daily from Canora REM station
Drives: Sedan, SUV, or sometimes an EV
Tech level: Medium–High
“If I can’t find a spot quickly, I’ll miss my train.”
• Secure daytime parking near transit
• Fast entry and exit
• Tenant priority always respected
• Lots marked “full” though spaces are free
• Long circulation time in garages
• EV chargers often blocked
• Predictive availability during commuter hours
• EV charger reservations with tenant priority
• Streamlined entry (RFID or QR)
Resident Rachel Age: 30–60
Lives: In the condo, parks daily or nightly
Drives: Compact car, SUV, or EV
Tech level: Low–Medium
“I pay for my spot—there better be one waiting when I come home.”
• Guaranteed spot at night
• Commuters kept out of tenant spaces
• Safe, clear garage navigation
• Fear of losing space to outsiders
• Mis-parked cars or unclear rules
• Noise and congestion from non-residents
• Algorithm must protect tenant priority
• Section-based signage to prevent mis-parking
• Transparent reporting to reassure tenants
Garage Operator Oliver Age: 35–55
Role: Property manager at Elora MTL
Manages: Tenants, garage logistics, commuter integration
Tech level: Medium
“I need real-time visibility and minimal complaints.”
• Clear dashboard with occupancy and system health
• Balance tenant needs with commuter revenue
• Automated monitoring, little manual work
• System or sensor failures create complaints
• Integration issues (RFID, cameras, signage)
• Hard to justify decisions without data
• Intuitive dashboard with alerts and manual override
• Reliable fallback procedures
• Tenants can see live availability data
EV Ellie Age: 28–45
Profile: Early EV adopter
Needs: Reliable charging during work hours
Tech level: High
“If I can’t charge here, I’ll park somewhere else.”
• Guaranteed EV charging access
• Non-EVs kept out of EV spots
• Clear directions to charging areas
• EV spots blocked by regular cars
• Limited charging infrastructure
• Spots shown as “available” but unusable
• AI distinguishes EV vs. non-EV
• Dashboard tracks EV use separately
• Alerts for blocked or broken chargers

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