People & HR

How to plan headcount as CPG Founders

People & HRFor CPG Founders3 apps12 steps~24 min to set up

You're planning headcount on a 12-tab spreadsheet that breaks every time someone changes a cell. As a CPG founder, your hiring decisions aren't just salary math — they're tied to co-packer run schedules, broker commission structures, whether you can afford a dedicated demand planner before Q4 replenishment season, and whether that ops hire pays for itself before your next raise. You're copying Gusto payroll numbers into a tab, manually estimating benefits load, and re-running the whole thing every time your Stripe MRR shifts. It takes half a Sunday and the output is already stale by Monday.

Build this on Starch → See the apps used

People & HRFor CPG Founders3 apps12 steps~24 min to set up

Outcome

What you'll set up

A live headcount plan that ties every open role to your actual burn rate and runway — updated automatically from your bank and revenue data, not manually entered once a quarter

Side-by-side hiring scenarios (hire the ops manager now vs. Q3 vs. not at all) with runway and break-even impact calculated from your real Stripe and Plaid numbers

A quarterly budget view that shows exactly how much of your cash is committed to people costs vs. COGS, trade spend, and marketing — so you stop making hiring calls in a vacuum

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

Runway Analysis Scenario Analysis Budgeting

Data sources & config

Starch syncs your Stripe revenue data and Plaid bank transactions on a schedule — both feed the Runway Analysis and Scenario Analysis apps automatically. Payroll detail (if you're on Paylocity or ADP) also syncs on a schedule and can be broken out as its own budget category. For co-packer invoices and distributor deduction data living in your email or a portal with no API, Starch automates that through your browser — no API needed.

Prompts to copy

Connect my Plaid bank feeds and Stripe account. Show me a 24-month runway projection broken down by burn category — separate payroll, co-packer payments, freight, and marketing spend so I can see which line is actually killing my runway.

Build three hiring scenarios side by side: (1) hire an ops manager at $95K in May, (2) hire in September instead, (3) don't hire and use a 3PL. Show me how each one changes runway, monthly burn, and break-even assuming 15% revenue growth.

Set up a quarterly budget with categories for payroll, benefits load (add 22% on top of salary), broker commissions, co-packer fees, FBA prep and freight, and trade spend. Compare actuals from Plaid against my targets and flag any category running more than 10% over.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Plaid and Stripe in Starch settings. Starch syncs your bank transactions and revenue data on a schedule — this is the baseline for every projection you'll build. Takes about 5 minutes; no spreadsheet exports.

2 Open the Runway Analysis app. It auto-calculates real net burn using your last 6 months of actuals from Plaid and Stripe — not a single-month average, not a guess. Review the category breakdown and tag payroll, co-packer payments, and freight as separate lines.

3 Describe your current headcount to Starch in plain language: 'We have 4 FTEs, total annual payroll of $340K, benefits load of ~22%, plus two part-time brokers on 5% commission of their territory revenue.'

4 Open the Scenario Analysis app. Build your base case from the connected Stripe and Plaid data, then fork it into 3 scenarios: your current hiring plan, a delayed-hire version, and a no-hire version where you absorb ops work differently.

5 For each scenario, adjust only the assumptions that change: hire date, salary, whether broker commission rate shifts as you add headcount in a new region, and any COGS impact if an ops hire lets you renegotiate co-packer minimums.

6 Run the prompt: 'For each scenario, show me months of runway remaining, monthly burn at month 12, and the revenue run rate where I hit break-even.' Review outputs and sanity-check against your Plaid actuals.

7 Open the Budgeting app. Set quarterly targets for each major cost category — payroll, benefits, co-packer fees, FBA prep and freight, trade/marketing, broker commissions. Let Starch suggest allocations based on your trailing spend from Plaid.

8 Tag each open role in your hiring plan to a budget category. Ask Starch: 'Which roles, if hired in Q2, push any budget category more than 15% over its quarterly target?' This is the question your spreadsheet can't answer without a full rebuild.

9 Set up a weekly automation: 'Every Monday, pull my Plaid transactions from the past 7 days, update my payroll and COGS actuals, and Slack me a one-paragraph summary of where I stand vs. budget and whether my runway projection changed.' Starch posts it automatically.

10 Before any board update or fundraise conversation, run: 'Generate a headcount plan summary showing current team, planned hires by quarter, total payroll commitment by end of year, and how each hire maps to a revenue or ops milestone.' Use the Presentation Agent (currently in development — request beta access) to turn this into slides.

11 Revisit scenarios any time a material assumption changes — a new co-packer contract, a deduction dispute that clears, a retail door that hits faster than expected. Each re-run takes minutes, not a Sunday.

12 Share a read-only Starch view with your CFO-for-hire, fractional finance advisor, or lead investor so they're looking at the same live numbers you are — not a PDF you exported two weeks ago.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →

Worked example

Q2 2026 Headcount Decision — Snack Brand, $2.1M ARR

Sample numbers from a real run

Current annual payroll (4 FTEs)	340,000
Benefits load (22%)	74,800
Broker commissions (5% of $480K broker-territory revenue)	24,000
Proposed ops manager hire (May start)	95,000
Benefits on new hire	20,900
Total payroll commitment if hired in May	554,700
Monthly net burn (base case, from Plaid)	68,200
Monthly net burn (hire in May scenario)	79,800
Runway at current burn (months)	14
Runway if hire in May (months)	11

This brand is doing $2.1M in Stripe revenue and running $68K/month net burn, giving them 14 months of runway on their current Plaid balance. The founder is deciding whether to hire an ops manager at $95K in May to handle co-packer coordination, FBA replenishment, and deduction disputes — work that's currently eating 15+ hours a week of founder time. Scenario Analysis pulls the actual Stripe and Plaid numbers as the baseline, then models the May hire: burn jumps to ~$80K/month, runway compresses to 11 months. The September scenario holds runway at 13 months. The no-hire scenario keeps runway at 14 months but the founder runs the numbers on what 15 hours/week of freed time is worth in sales calls and broker meetings. The Budgeting app flags that payroll would hit 43% of total quarterly spend under the May scenario — above the 38% target — and surfaces co-packer fees as the second-largest category at 31%, giving the founder a clear conversation to have with their co-packer before committing to the hire. The Monday Slack automation now sends a 4-line cash summary every week so none of this lives only in a spreadsheet tab that gets stale.

Measurement

How you'll know it's working

Months of runway at current burn (updated weekly from Plaid, not monthly from bookkeeper)

Payroll as % of total quarterly spend (target: stay under 40% until next raise closes)

Revenue per FTE (tracks whether headcount additions are producing output — relevant when adding ops vs. sales roles)

Monthly burn delta vs. prior month (catches co-packer invoice spikes and one-time trade spend before they compound)

Break-even revenue run rate under each hiring scenario (the number your lead investor actually asks about)

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Mosaic or Jirav

Purpose-built financial planning tools with deeper FP&A features, but they start around $1,000/month, assume you have a finance hire running them, and don't connect to your co-packer or marketplace ops data the way Starch does.

Google Sheets with Plaid or Stripe exports

Free and flexible, but every scenario is a manual rebuild, actuals require a monthly export, and nothing updates automatically — which means your 'current' headcount plan is usually 3 weeks old.

QuickBooks + Excel

QuickBooks gives you solid actuals but no forward modeling; you end up copy-pasting into Excel for every what-if, and the two are never looking at the same numbers at the same time.

Carta Total Comp or Pave

Great for benchmarking comp and managing equity, but they don't do runway or scenario planning — you'd still need a separate tool for the cash impact of each hire.

On Starch RECOMMENDED

One platform — runway analysis, scenario planning, quarterly budgeting all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch actually see my payroll numbers, or do I have to enter them manually?

If you're on Paylocity or ADP, Starch syncs your payroll data on a schedule — employees, pay runs, and benefits detail come in automatically. If you're on Gusto, Rippling, or another HR platform, you can connect it from Starch's integration catalog and the agent queries it live when your apps run. If neither fits, you describe your payroll structure in plain language and Starch uses that as the input for modeling. You don't have to build a salary table from scratch.

My co-packer invoices and distributor deductions aren't in any system — they're PDFs and portal logins. Can Starch use that data?

Yes. For portals you can log into, Starch automates them through your browser — no API needed. For PDF invoices that come through Gmail or Outlook, Starch syncs your email on a schedule and can extract line items. This is how you get co-packer costs and deduction amounts into your burn rate without manually re-entering them every month.

I'm not SOC 2 certified — is Starch?

Not yet. Starch is not currently SOC 2 Type II certified. If your investors or retail partners require SOC 2 attestation from your tooling vendors, that's worth knowing before you connect sensitive financial data.

Can I model a scenario where I replace a broker with an in-house sales hire?

Yes. You describe the trade-off in plain language — 'Remove $24K in annual broker commissions from the $480K territory, add a $75K in-house sales rep, model that territory revenue growing 20% faster because they're dedicated' — and Starch builds the scenario from your actual Stripe baseline. You're not starting from a blank spreadsheet; you're adjusting assumptions on top of real numbers.

How is this different from just doing this in a spreadsheet I already have?

Your spreadsheet doesn't update when your bank balance changes. Every time Stripe revenue shifts or a big co-packer invoice hits, someone has to go update the inputs — and usually nobody does, so you're making decisions from stale numbers. Starch syncs Plaid and Stripe on a schedule, so the baseline is always current. The scenario modeling sits on top of live data, not a snapshot from last month's close.

The Presentation Agent sounds useful for board updates. Is it available now?

Not yet — Presentation Agent is currently in development. You can request beta access to get notified when it launches. For now, you can export the scenario outputs and budget views from Starch and build your own deck from those numbers.

What if my historical spend is messy — miscategorized transactions, one-time trade spend that inflates my burn, that kind of thing?

Starch gives you the raw category breakdown from Plaid and lets you flag or reclassify outliers before the projection runs. You can tell it: 'Exclude the $40K trade show spend in October from my trailing burn average — that's non-recurring.' The projection then uses the adjusted baseline, not the distorted one. This is the same work you'd do in a spreadsheet, just without rebuilding the whole model after you do it.