What gets benchmarked: the metric families

What this article covers

The Benchmarks tab is where Verinode HQ lines up every office in your network against each other, against your network's own median, and against a single industry reference line. This article is the reference catalog: every metric family Verinode can surface, what each number means, and which system in your stack has to be flowing data before a given family lights up. For how to read the tab itself (the toggles, the card vs table view, the deep-dive), see What gets benchmarked: reading the tab. For how the network-vs-industry cohort math works and why some rows stay dark, see Network Health.

Verinode HQ never sees a single franchisee's private books, correspondence, or documents. Every number on this page is aggregated across your offices from the same anonymized intelligence layer that powers Verinode IQ's peer benchmarks. Franchisees own their underlying data; HQ sees the roll-up.

Where to find it

Open Benchmarks from the HQ sidebar at hq.verinode.ai/benchmarks, then stay on the default Benchmarks pill in the tab bar at the top of the page (the same bar also carries Carriers & TPAs, Materials, Industry Data, Ratings, Analyst Reports, and Industry News, each covered in its own article). The Benchmarks tab renders as a stack of category sections, each one a small table of metric rows, in the order this article covers them: Profitability, Cash Velocity, Cost Structure, Sales & Marketing, Service Speed, Productivity, Safety, Equipment & Fleet, Performance Score, Reputation, Certifications, Team Performance, Recruiting & Hiring, Facilities & Real Estate, Vehicle Fleet, Workforce, Platform Engagement, Clients & Sales Mix, Job Mix & Specialization, Profitability by Job Type, Vendor & Procurement, and (only for networks with an exterior division) Exterior & Roofing.

A category only appears once at least one of its metrics has something to show. A metric only appears in a category once at least 3 of your offices have reported a value for it. Below that floor, a metric simply isn't shown yet, there is no partial or single-office row. This keeps the page from filling up with sparse, single-location numbers that would not be safe or meaningful to compare.

How to read a metric row

Every row in every category follows the same layout, three columns:

• Metric (left). The metric's name, an info icon you can hover for the plain-language formula behind it, and how many offices are behind the number, worded as "8 offices," never a statistician's "n=8."
• Peer distribution (middle). A horizontal band showing where your network's offices spread out. The shaded bar is the interquartile range (the middle half of your offices, p25 to p75), the vertical tick is your network's own median, and the small colored dot is whichever value the row's toggle is currently showing.
• You vs peer / Median (right, header label depends on the "Show my position" toggle covered in hq-benchmarks). The metric's current headline value plus, where it applies, a dollar impact versus the industry reference.

Clicking anywhere on a row opens the deep-dive slider for that metric: a distribution chart, the Across Your Offices ranked list (every office's value, rank, and whether it sits below the bottom quarter, in the middle, or above the top quarter of your own network), and the industry reference line. Office identity is real inside this ranked list (HQ owns the franchisee directory, so it can label each office by name), the industry-reference side stays fully anonymized.

The metric families

Profitability

What it answers. Top-line earning power: margin and revenue intensity.

Metrics. Net Margin (featured, what an office actually keeps after every cost, not just cost of goods), Gross Margin, and Revenue / Employee.

Where it comes from. Each office's most recent financial-period snapshot in the anonymized facts layer (operator_facts_financial_periods), specifically the net_margin_pct, gross_margin_pct, and revenue_per_employee columns, whichever value each office's books produced most recently. Net Margin leads because a restorer's own gross-margin math (typically far higher, since it doesn't burden overhead) does not match a raw cost-of-goods figure, net income is what an operator recognizes as "what I keep."

Cash Velocity

What it answers. How fast revenue turns into cash, carrier-payment health.

Metrics. Collection Rate (featured, dollars collected as a percentage of dollars billed), Days To Pay, AR 60+ %, AR 90+ %, and Supplement Approval rate.

Where it comes from. Collection Rate sums each office's collected_amount over billed_amount across its jobs in operator_facts_jobs. Days To Pay is the median gap between date_assigned (or the equivalent job column) and payment, computed per office from the same jobs table. Supplement Approval sums approved_amount over submitted_amount from operator_facts_supplements. AR aging metrics roll up from the same jobs facts.

Cost Structure

What it answers. Where revenue goes: labor, materials, subcontractors, equipment. Compare each line against the rest of the network.

Metrics. Labor Ratio (featured), Loaded Labor Rate / hr, Material Ratio, Subcontractor Ratio, Equipment Ratio, plus SG&A software ratio, software cost per employee, equipment cost per employee, vendor spend ratio, and vendor spend per employee where data supports them.

Where it comes from. The ratio metrics (Labor, Material, Subcontractor, Equipment) are single columns on each office's latest operator_facts_financial_periods snapshot. Loaded Labor Rate is a hybrid read: the office side comes from the network data, a payroll roll-up that follows your HQ consent settings, so every office with payroll data appears here even if it hasn't separately opted into benchmark data-sharing. The industry reference line comes from the anonymized facts layer, restricted to operators outside your network who clear the benchmark-eligibility bar. Lower is the "cost is better" direction on this one; the deep-dive carries a note that an unusually low number can also mean below-market pay, not just efficiency.

Sales & Marketing

What it answers. How you win work: average job value, close rate, marketing spend, referral share.

Metrics. Average Job Value (featured, live today) and Marketing % of Revenue are wired and appear as soon as an office has billed jobs and a normalized P&L. Close Rate, Cost per Job, Return on Marketing $, and Referral Share are defined in the catalog but wait on lead-intake and marketing-spend data reaching each office's facts, they will start appearing automatically once that data flows in, no product change required.

Where it comes from. Average Job Value is the median billed job amount per office from operator_facts_jobs. Marketing % of Revenue reads sga_marketing_ratio from the normalized P&L facts. Close Rate and Referral Share, once live, will be a share of an office's leads flagged won or referral/repeat in a leads facts table, only computed once an office has at least a minimum volume of leads on record, so a one- or two-lead office never produces a noisy rate. Cost per Job and Return on Marketing $ are derived from the same marketing ratio combined with average billed job value.

Service Speed

What it answers. How fast you respond and deliver, the SLA muscle carriers grade you on.

Metrics. Time To On-Site (featured), Cycle Time, Estimate Approval Lag, Estimate to Work Start.

Where it comes from. Time To On-Site is the median number of days between job assignment and job start per office, computed from date columns on operator_facts_jobs. Cycle Time reads a cycle_time_days column on the same table. All four are job-grain: they compute per office from every job that carries the needed date pair, then take the office's median.

Productivity

What it answers. Throughput per dollar of labor, job volume and capacity.

Metric. Jobs / Employee.

Where it comes from. Job count from the latest jobs snapshot, divided by employee count from the latest financial-period snapshot, per office. An office only appears once both numbers exist for the same period.

Safety

What it answers. Operational risk and reporting culture, the OSHA-style metrics insurance carriers watch.

Metrics. Incident Rate (per 100k labor hours, featured), Days Since Last Recordable, Near-Miss Ratio, Training Compliance. (Corrective Action Closure Days and Policy Review Currency are defined in the catalog but not yet emitted by the safety data pipeline, so they don't appear yet.)

Where it comes from. Safety metrics live in their own table (the benchmark data), keyed by office and metric type, most recent observation wins. This is separate from the financial and job facts tables the other families draw from.

Equipment & Fleet

What it answers. Asset health: age, calibration discipline, ownership ratio, capacity coverage.

Metrics live today. Equipment Owned % (featured) and Calibration Compliance %. (Fleet average age, capacity adequacy score, rental spend ratio, and fleet value per employee are defined in the catalog and will populate as equipment inventory data deepens.)

Where it comes from. the network data, a per-office roll-up your HQ aggregation cron maintains from each office's equipment inventory. Equipment Owned % divides owned-equipment count by total equipment count; Calibration Compliance % is the share of active equipment not overdue for calibration. There is no cross-network equipment facts table, so this family is office-vs-office only, no industry reference line.

Reputation

What it answers. Review standing across platforms, office by office.

Metrics. Reputation Score (featured, a composite), Google Rating, Yelp Rating.

Where it comes from. the network data, another per-office roll-up your aggregation cron maintains. Office-vs-office only, no cross-network reference line for this family today.

Certifications

What it answers. Credential depth and currency across your offices.

Metrics. Active Cert Rate (featured), Cert Types (distinct credential types held), Expired Certs (a count, where fewer is better).

Where it comes from. the network data, computed per office from certification counts your directory and integrations track. Office-vs-office only.

Team Performance

What it answers. How hard the team is working and how well it holds together: utilization, tenure, credential currency versus the rest of the network.

Metrics. Team Capacity Utilization (featured), Team Tenure (median months), Team Certification Currency Rate.

Where it comes from. Where this family's data lands depends on the underlying source table your instance is wired to; it follows the same office-roll-up pattern as Workforce below (the network data), aggregated from your team directory and HR data feeding HQ.

Recruiting & Hiring

What it answers. The hiring engine: how fast you fill roles, how many candidates apply, whether offers land, whether new hires stay.

Metrics. Time to Fill (days, featured), Offer Acceptance Rate, Applicants per Requisition, Retention at 90 Days, Retention at 365 Days.

Where it comes from. These metrics populate once an office's recruiting/ATS data reaches the facts layer. As with Sales & Marketing's not-yet-wired rows, this family lights up automatically once that ingestion path is in place for your network, no manual step from you.

Facilities & Real Estate

What it answers. Footprint economics: rent per square foot, lease terms, ownership.

Metrics. Rent / Sq Ft (monthly) (featured), Sq Ft / Facility, Facilities Owned %. (Average lease term and active facility count are in the catalog and appear as lease data deepens.)

Where it comes from. the network data, a per-office roll-up computed from square footage, monthly rent (stored in cents), and ownership flags your directory tracks. Office-vs-office only.

Vehicle Fleet

What it answers. Truck-and-van fleet: age, insurance cost per vehicle, sizing.

Metrics. Vehicles Owned % (featured), Avg Vehicle Age, Insurance / Vehicle. (Cost per mile and vehicles per FTE are in the catalog for future data.)

Where it comes from. the network data, per-office, from vehicle counts, ownership flags, average age, and annual insurance premium your fleet data provides. Office-vs-office only.

Workforce

What it answers. Headcount, tenure, and the technician-versus-leadership mix per office.

Metrics. Headcount, Avg Tenure (featured), Technician Mix %, Leadership Ratio %.

Where it comes from. the network data, per-office, from your team directory: total headcount, technician count, leadership count, and average tenure. Office-vs-office only.

Platform Engagement

What it answers. How each office actually uses Verinode: decisions acted on, IQ usage, opportunity surfaced.

Metrics. Decision Action Rate (featured, the share of Verinode's decisions an office has acted on), IQ Commands (a usage count), Active Minutes, Opportunity Surfaced (a dollar figure).

Where it comes from. the network data, per-office, tracking each office's interaction with Verinode itself. Per the platform's non-negotiable privacy rule, this only ever reports usage and quality signals, not an office's private business values. Office-vs-office only.

Clients & Sales Mix

What it answers. Client base and the commercial/residential balance across offices.

Metrics. Commercial Clients (featured), Total Clients, Commercial Job Mix %.

Where it comes from. the network data, per-office, from commercial and retail client counts and 36-month job counts by property type. Office-vs-office only.

Job Mix & Specialization

What it answers. What kind of work each office runs, peril mix and commercial share, versus the industry. This family is informational, not a scorecard, running more water work than the network average isn't "better," just different, and it is excluded from the composite office leaderboard for exactly that reason.

Metrics. Water Jobs % (featured), Fire Jobs %, Mold Jobs %, Commercial Jobs %.

Where it comes from. The share of each office's jobs (latest snapshot) that match a given peril type or property type, from operator_facts_jobs. This family does carry a cross-network industry reference line, since it draws from the same hash-keyed jobs facts table other operators contribute to.

Profitability by Job Type

What it answers. Burdened profit margin by peril: which job types actually pay off, office versus office and versus the industry.

Metrics. Water Margin, Fire Margin (featured), Mold Margin, Biohazard Margin.

Where it comes from. For each peril, Verinode sums collected dollars and burdened cost across an office's jobs of that peril type, then computes (collected − cost) / collected. Only jobs that carry both a positive collected amount and a burdened-cost figure count, so this family stays dark for an office until its cost data reaches that level of detail.

Vendor & Procurement

What it answers. Procurement leverage: vendor breadth, spend, satisfaction, concentration risk.

Metrics. Vendor Count (featured), Monthly Vendor Spend, Avg Vendor Satisfaction, Spend Concentration (the share of an office's vendor spend sitting with its single largest vendor, lower is healthier).

Where it comes from. the network data, one row per office-vendor relationship, aggregated per office. Office-vs-office only.

Exterior & Roofing

What it answers. The roofing-division read: supplement capture by item type, and burdened exterior margin, against other operators' exterior work.

Metrics. Supplement Capture Rate (featured), split out by code-upgrade and discovery supplement types, plus Exterior Margin %.

Where it comes from. The same job-facts and supplement-facts sources as the general Cash Velocity and Profitability by Job Type families, filtered to exterior/roofing job records.

Performance Score

This category sits apart from the rest: it is Verinode's own composite scorecard, not a raw operational metric.

Metrics. Verinode Score (featured, the overall 0-100 composite) plus its nine dimension scores: Margin, Cash Flow, Operations, Compliance, Team, Reputation, Sales, Process, and Vendor.

Where it comes from. operator_facts_score, each office's latest total score and dimension breakdown, on the same 0-100 scale IQ shows an individual operator. Because operators outside your network also carry a Verinode Score, this is one of the categories that does carry an industry reference line alongside your network's own p25/median/p75 spread.

The industry reference line, and why some rows don't have one

Where a family draws from the shared, cross-network intelligence facts tables (Profitability, Cash Velocity, Cost Structure, Sales & Marketing, Service Speed, Productivity, Safety, Job Mix & Specialization, Profitability by Job Type, and Performance Score), the deep-dive shows a single industry reference figure: the median value among operators outside your network. This line is deliberately understated, it exists to give you an honest external anchor, not to frame outside operators as a second competing cohort you're being ranked against. The count of contributing outside operators is suppressed below a k-anonymity floor, if that floor isn't cleared the reference line simply shows nothing rather than a number built from too few operators to protect anyone's identity. Financial and margin metrics carry a higher floor than operational ones, because a P&L figure is more identifying than an operational count.

Families sourced purely from your own the network data* roll-up tables (Equipment & Fleet, Reputation, Certifications, Team Performance, Recruiting & Hiring, Facilities & Real Estate, Vehicle Fleet, Workforce, Platform Engagement, Clients & Sales Mix, Vendor & Procurement) have no equivalent table on the cross-network intelligence side yet, so they show your network's own office distribution only, with no industry line at all. That is a scope limitation of what data currently exists in the shared intelligence layer, not a privacy decision.

Coverage and the 3-office floor

A metric only renders once 3 or more of your offices have reported a usable value for it. This is a deliberate floor, not a bug: a "benchmark" built from one or two offices is not a distribution, it's a couple of numbers, and showing it as one would overstate confidence in what is really still a thin sample. As more offices in your network start contributing data to a given family (safety incident logs, equipment inventory, lead intake, whatever the family needs), that family's metrics light up on their own the next time the tab refreshes. There is no manual step to "turn on" a metric, and no way to see a metric early by asking, the floor is the same for every network.

Related articles

• What gets benchmarked: reading the tab, the toggles, view switch, and deep-dive mechanics on this same page.
• Network Health, the office-by-office data-flow view that explains why a given family is or isn't populated.
• HQ Programs
• HQ Standards
• HQ Report Library
• HQ Compliance
• Broadcasting to your network