How to set compensation bands as Small Finance Teams
You're the person HR calls when they need someone to 'sanity check' the comp bands the People team just drafted in a Google Sheet. The problem: you have payroll data in ADP or Paylocity, headcount costs rolling through QuickBooks or NetSuite, and market benchmarks sitting in a PDF someone downloaded from Radford or Levels.fyi six months ago. None of it talks to each other. You end up manually cross-referencing spreadsheet tabs, pulling payroll runs by job code, and trying to figure out whether a proposed band for a Senior Software Engineer actually fits inside the headcount budget you already approved. It takes half a day you don't have, and the output is still a static spreadsheet that goes stale the moment someone gets promoted.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
Starch syncs your Paylocity payroll data on a schedule (employees, payroll runs, pay statements) and your QuickBooks data on a schedule (invoices, bills, journal entries, vendor payments) — both refreshed automatically so your band analysis always reflects real numbers, not last month's export. Market benchmark data from external sources like Levels.fyi or Radford PDFs can be pulled in through browser automation — no API needed.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Q2 2026 Compensation Band Review — Engineering Leveling
| L3 Software Engineer — current avg salary | 142,000 |
| L3 Software Engineer — proposed band midpoint | 155,000 |
| L3 employees below band (6 of 11) | 6 |
| Cost to bring all below-band L3s to midpoint | 78,000 |
| Approved engineering headcount budget (remaining, Q2–Q3) | 210,000 |
| Budget headroom after band correction | 132,000 |
Before the Q2 engineering comp review, HR sent over a Google Sheet with proposed bands for L2 through L5. Your job: figure out whether the numbers are fundable and flag anyone who'd immediately be out of band. Starch already had Paylocity syncing nightly, so you pulled all 38 engineering employees with their current base salaries, job levels, and department codes in about 90 seconds. The QuickBooks sync showed the approved headcount budget line for Engineering at $840,000 for the half. Running the band comparison surfaced that 6 of 11 L3 engineers were below the proposed $145,000–$165,000 band — a total correction cost of $78,000 annualized if you brought everyone to midpoint. Against the $210,000 remaining in the approved headcount envelope, that's fundable with $132,000 left for backfill or new headcount. You shared the live Starch view with the CPO in 20 minutes rather than rebuilding the spreadsheet from scratch. HR approved the bands with the finance sign-off already attached.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — quarterly budgeting, knowledge management all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
Starch can see individual employee salaries from Paylocity — how sensitive is that data?
We use ADP instead of Paylocity — does Starch sync that too?
Our comp benchmarking data comes from a Radford or Mercer survey PDF, not a live system. Can Starch use that?
Can I see QuickBooks P&L line items in the same view as payroll costs?
Will this replace our HR team's comp tool or their spreadsheet process?
How long does it take to set this up for the first time?
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Read guide →Ready to run set compensation bands on Starch?
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