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HomeAir Ventilation Audit & Optimization Service

A local, on-demand service where trained technicians visit homes, measure actual CO2 levels, humidity, occupancy patterns, and home envelope leakage, then deliver a custom 12-month ventilation schedule with specific run times, seasonal adjustments, and energy cost projections. Technician uses a tablet app to capture data and generate a personalized PDF report + smart thermostat integration rules the homeowner can implement immediately.

SERVICE

40 weeks • 70% confidence

Value Proposition

Eliminates guesswork with data-driven, home-specific guidance instead of generic manual advice. Homeowner gets a single, actionable document + integration setup in 2 hours, not months of research. Service pays for itself in 1-2 seasons through energy savings (15-25% HVAC reduction) and prevents costly system misuse.

Target Audience

Homeowners aged 40-65 with fresh air intake systems (ERV/HRV units) in cold/moderate climates; early adopters concerned about energy bills or indoor air quality; homes with allergy/asthma sufferers.

Key Features

  • On-site CO2, humidity, and air-leakage testing with calibrated equipment
  • Occupancy pattern interview (work schedules, guests, pets, cooking habits)
  • Custom seasonal schedule (winter/spring/summer/fall run times and durations)
  • And more, with full implementation detail...

Tech Stack

CO2 sensor (e.g., Aranet4 or similar, ~$300/unit) Humidity/temperature probe (basic, ~$50) Blower door or duct leakage tester (optional, ~$2k initial investment) Tablet app development (React Native or Flutter for iOS/Android)
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Original Problem

Homeowners don't know optimal ventilation schedules for fresh air intake systems

Homeowners with fresh air intake systems lack clear guidance on how often and for how long to run them, leading to either wasted energy costs or poor indoor air quality. Current solutions like HVAC manuals are generic and don't account for individual home conditions, occupancy patterns, or seasonal variations. This uncertainty causes decision paralysis and suboptimal system operation.

Score: 17.5%