Executive recruiting firm · ~150 employees · Azure SQL
Starting Database Confidence Score: 63 / 100, “Fair, worth attention”
Time spent reviewing database health: 1–2 hours a day → 5–10 minutes a day
Overspend identified on the first database assessed: $380 / month, about $4,560 a year
Urgent risks found: 0
Assessment turnaround: full report in 5–7 days
“We didn't need another tool telling us something was wrong. We needed confidence that the systems driving our business were performing the way they should.”
IT Manager, executive recruiting firm (~150 employees, ~100 recruiters)
An IT recruiting firm's business moves fast. Every day, nearly 100 recruiters search for candidates, update client records, submit resumes, schedule interviews, and talk to customers. Leadership depends on Power BI dashboards to understand placements, recruiter productivity, pipeline, and revenue.
Every one of those activities depends on healthy databases. Around 150 employees rely on an Applicant Tracking System, a CRM, Power BI, and several internal applications running on Azure and Azure SQL Database.
The systems weren't failing. They were gradually slowing down.
Candidate searches took a little longer. Reports refreshed more slowly. Dashboards lagged. Internal applications became less responsive. None of it was severe enough to trigger an outage. Together it created friction across the business, and across nearly 100 recruiters, a few extra seconds per search added up to hours of lost productivity every week.
The IT Manager had monitoring tools and plenty of alerts. What they didn't have was confidence.
Leadership wanted answers to simple questions. Are our databases healthy? Is performance getting better or worse? Which issues deserve attention first? Is database performance affecting recruiter productivity?
Those questions were hard to answer, not because the data didn't exist, but because it was never presented in a way that connected database health to business performance.
As the business grew, so did the load. Recruiters ran thousands of searches a day. CRM activity increased. Power BI processed more information. Internal applications handled more transactions.
The IT Manager spent one to two hours a day reviewing alerts, investigating symptoms, and responding after users reported slow systems. Instead of improving database performance, they were reacting to it.
The engagement began with a Database Confidence Assessment on a single production database: the one behind the recruiting team's records.
Within a week, the IT Manager had a baseline: an overall Confidence Score of 63 out of 100, five findings, and zero urgent risks. Nothing was broken. But the assessment surfaced something the alerts never had.
The database was sized for its busiest weekday hours and held at that size around the clock, including nights and weekends, when recruiters are offline. It ran at about 71% utilisation on weekday mornings and under 12% the rest of the time.
Right-sizing it to the actual weekday pattern removed about $380 a month, roughly $4,560 a year, with no impact on daytime speed.
No monitoring tool had flagged this, because nothing was wrong. It was simply costing more than it needed to.
Download the full six-page assessment, redacted and published as an illustrative example.
That assessment set the pattern for the rest of the estate: establish a baseline, prioritise by business impact, act before users notice.
Instead of reviewing disconnected alerts every morning, the IT Manager starts the day with one report answering a single question: what matters today?
Time reviewing database health: 1–2 hours a day → 5–10 minutes a day
How issues surface: after recruiters complained → identified before users notice
Sources of truth: multiple monitoring dashboards → one Database Confidence Score
What alerts tell you: technical signals needing investigation → plain-English recommendations, ranked by business impact
Leadership visibility: none into database health → a single score they can track
That first change is the one worth sitting with: roughly 90 minutes a day returned to the IT Manager, about 30 hours a month, spent improving systems rather than triaging them.
Database maintenance became a planned process instead of an emergency response. And database health stopped being an IT concern and became a business metric.
Monitoring platforms are built to collect technical information. Database Chex is built to help organisations make decisions.
Instead of asking whether CPU utilisation is too high, whether indexes are fragmented, or why another alert fired, this team can answer the questions that actually matter: Are recruiters staying productive? Are dashboards available when leadership needs them? Is performance improving? Can we support growth without surprises?
We bring expert guidance, plain-English reporting, and a Database Confidence Score, with automated health checks underneath doing the collection so people don't have to.
As a Microsoft ISV Success partner and Microsoft for Startups member, Database Chex is built around Azure best practices and fits naturally into Microsoft environments.
The outcome wasn't better monitoring. It was knowing where things stand: that recruiters stay productive, that leadership has timely insight, that performance is improving rather than quietly degrading, and that small issues get caught before they become business problems.
That's Database Confidence.
Assessment conducted March 2026. Figures drawn from the client's Database Cost & Risk Assessment; the published sample report is redacted.
Less noise.
More confidence.
