Service History Timeline

Service History Timeline

What You'll Learn

  • How to view past service records for a piece of equipment in measureQuick
  • How to compare Vital Scores over time to track system health
  • How to access stored AI diagnostic notes from previous visits
  • How to use service history for customer conversations and trust-building

What You'll Need

  • Device: iPhone (iOS 15+), iPad, or Android phone/tablet (Android 10+) with measureQuick v3.6+
  • Account: Active measureQuick Premier Services subscription
  • Equipment history: The equipment must have at least one prior measureQuick service record. Service history is built from saved projects - no prior records means no history to display.
  • Time: 5 minutes to read; under 1 minute to access history on site

Step-by-Step Guide

Step 1: Accessing Service History

Service History is available during an active project when you are working on equipment that has been serviced through measureQuick before. The app matches equipment by condenser serial number and site location, so the same physical unit accumulates a continuous record regardless of which technician performed previous visits.

To access Service History:

  1. Open or start a project on the equipment
  2. Navigate to the equipment profile or diagnostic screen
  3. Tap Service History

If the equipment has prior measureQuick records, the Service History panel opens with a chronological list of past services. If no prior records exist, the panel will be empty or the option may not appear.

📷 Equipment profile screen with Service History button highlighted

Tips:

  • Service History relies on equipment identification. Make sure the condenser serial number is entered correctly during profiling. A mistyped serial creates a new equipment record instead of linking to the existing one.
  • The AI Profiler in mQ 3.6 can capture serial numbers from data plate photos, reducing manual entry errors.

Step 2: Reading the Timeline View

The Service History panel displays a chronological list of previous services. Each entry shows:

  • Date of the service visit
  • Vital Score (percentage and letter grade) recorded at that visit
  • Technician name - who performed the service

Entries are ordered from most recent to oldest. You can scroll through the full history of the equipment. In Jim Bergmann's demo, a test unit showed 114 stored service segments, demonstrating how the timeline accumulates over the life of the equipment.

[Visual Reference] The Service History panel shows a chronological list of previous service entries. Each entry displays the date of the visit, the Vital Score as both a percentage and letter grade (e.g., 72% C, 85% B, 91% A-), and the technician name. Entries are ordered from most recent at the top to oldest at the bottom. The letter grades and percentages provide an at-a-glance view of how the system's health has changed over time. Tapping any entry expands it to reveal the full details from that visit.

Tips:

  • The timeline only includes visits where a measureQuick test was saved. Visits without saved tests do not appear.
  • If multiple technicians from your company service the same equipment, all their visits appear in the shared timeline.

Step 3: Reviewing Previous Vital Scores

Tap any entry in the timeline to expand it and see the Vital Score details from that visit. This lets you track how the system's health has changed over time.

Score going up indicates improvements were made - repairs, charge corrections, airflow adjustments, or component replacements that brought the system closer to manufacturer specifications.

Score going down indicates degradation - refrigerant loss, filter loading, component wear, or developing faults that are reducing system performance.

Score staying flat across multiple visits can mean one of two things: a well-maintained system holding steady, or recurring issues that are not being resolved.

The score trend tells a story. A system that went from 72% to 91% after a service call, then dropped back to 78% six months later, likely has a refrigerant leak or a recurring airflow restriction. A system that climbs from 65% to 70% to 75% over three annual visits reflects incremental maintenance improvements.

📷 Expanded service history entry showing Vital Score breakdown with subsystem scores from a previous visit

Step 4: Viewing Stored AI Diagnostic Notes

Starting in mQ 3.6, each visit's AI diagnostic summary is saved as part of the service record. When you tap a previous entry, you can see not only the score but also what the AI found and recommended at that visit.

Stored AI notes typically include:

  • What was found - the AI's analysis of system operation at that time (e.g., low evaporator load, system overcharged, high static pressure)
  • What was recommended - suggested actions (e.g., check TXV bulb mounting, verify airflow, check charge)
  • Homeowner explanation - the plain-language summary generated for customer communication

This is valuable because it preserves the diagnostic context that raw numbers alone do not capture. A subcooling reading of 14 might be normal or problematic depending on conditions - the AI note explains what that reading meant in context at the time.

To add the current visit's AI notes to the service record, tap Add to Notes after the AI diagnostics summary has been generated for the current project.

[Visual Reference] An expanded service history entry shows the stored AI diagnostic notes from that visit. The notes are organized into two sections: "What was found" (the AI's analysis of system operation at that time, such as low evaporator load, overcharged system, or high static pressure) and "What to do" (suggested corrective actions, such as check TXV bulb mounting, verify airflow, or adjust charge). If a homeowner explanation was also saved, it appears below these sections. These stored notes preserve the diagnostic context that raw measurement values alone do not convey.

Tips:

  • AI diagnostic notes are only stored if the technician generated AI diagnostics and saved them during the visit. Visits before mQ 3.6 will not have stored AI notes.
  • You can still view the Vital Score from pre-3.6 visits; only the AI notes are new.

Step 5: Using History for Customer Conversations

Service History is a direct tool for customer communication. Instead of telling a homeowner their system "needs work," you can show them objective, timestamped data.

Example conversation:

"Last March when we were here, your system scored 72 out of 100 - a C grade. We corrected the refrigerant charge and cleaned the coil, and it went up to 91 - an A minus. Today it's reading 78. That 13-point drop over the past year tells us something is going on. Let me show you the diagnostic notes from last time compared to today."

This approach works because:

  • The data is third-party. The scores come from calibrated instruments and platform calculations, not from technician opinion. Customers trust instrument data more than verbal assessments.
  • Trends are visible. A single score is abstract. A trend line across three or four visits is concrete evidence.
  • Previous recommendations are documented. If you recommended a repair last year and the customer declined, the stored notes show that recommendation. The current decline validates it.
  • Year-over-year tracking builds relationships. Customers who see their system's history are more likely to stay with your company for ongoing maintenance. You become the custodian of their equipment record.

Jim Bergmann has described this as turning the technician into "the family doctor for HVAC" - a provider who knows the patient's history and can speak to trends, not just symptoms.

[Visual Reference] A technician presenting the Service History timeline to a homeowner on a tablet. The timeline shows two entries for the same equipment: an older visit with a lower Vitals Score and the current visit with an improved score after service. The trend across visits provides concrete evidence of system improvement over time, turning abstract diagnostics into a visual story the customer can follow.


Tips & Common Issues

Service History shows no previous records

The equipment must have at least one prior saved measureQuick project linked to it. If this is the first time anyone has used measureQuick on this unit, the history starts now. Save this visit's data as the baseline for future tracking.

I serviced this unit before but the history is empty

Check the condenser serial number. If the serial was entered differently on previous visits (typo, extra spaces, wrong unit's serial), the app treats it as a different piece of equipment. Consistent serial number entry across visits is essential for building a continuous history.

Can I see history from other companies?

No. Service History is scoped to your company's records. If a different company serviced the equipment using measureQuick, their records are not visible to you. You see only visits logged by technicians in your organization.

How far back does the history go?

Service History includes all saved measureQuick projects on that equipment for your company, going back to when the company first started using the platform. There is no time limit on the history.

Best practices for building useful service history

  • Always enter the condenser serial number accurately. Use the AI Profiler to capture it from data plate photos.
  • Save the project after every visit, even quick service calls. Every saved test adds a data point to the timeline.
  • Generate AI diagnostics and tap Add to Notes before completing the project. The stored notes become the most valuable part of the record over time.
  • Train all technicians in your company to follow the same profiling process. Consistent data entry across technicians produces a clean, continuous history.

Related Articles

Prerequisites (you may need these first):

Follow-up articles (next steps after this one):

Related in the same domain:


Need Help?

If you get stuck or this article doesn't answer your question:

  • Check the Related Articles section above
  • Contact measureQuick support: support@measurequick.com
  • Schedule a training session with our support team
    • Related Articles

    • A/C Service Workflow

      What You'll Learn How the A/C Service Workflow differs from the Installation Workflow and when to use it How to create a project and select the A/C Service Workflow How to run a Test In to document the system's current state before any work How to ...
    • Seasonal Service Preparation

      What You'll Learn How to build pre-season tune-up workflows for spring cooling prep and fall heating prep How to use historical test data to prioritize which customers need service first How to benchmark system efficiency before and after seasonal ...
    • Heat Pump Service Workflow

      What You'll Learn How to determine whether to test in cooling mode or heating mode based on season and thermostat settings How to select the correct measureQuick workflow for a heat pump service call How to run a Test In / Test Out paired workflow on ...
    • Non-Invasive Service Testing (NIT)

      What You'll Learn What Non-Invasive Testing (NIT) is and how it differs from a full gauge-up diagnostic When to use NIT: warranty systems, quick screening, leak-free inspections What NIT can and cannot tell you about system performance How to run a ...
    • AI Assist: Voice and Text Diagnostics

      What You'll Learn How to use voice and text interaction to get AI-powered diagnostic guidance from live measurement data How AI Assist differs from mQ Assist (I4) and why that distinction matters What the output categories are and how to read them ...