FINANCE
On-demand hiring-plan what-if runway model
Triggered by a webhook with a proposed headcount and salary load, it re-models runway against live BigQuery cash data and returns a Coda comparison page showing before-and-after…
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives proposed hiring planHTTP webhook
- LogicValidate roles, counts, loaded cost, and start dates
- ActionQuery current cash and baseline burn from BigQueryBigQuery
- LogicLayer new payroll onto burn curve and recompute runway
- ActionChart baseline vs. with-hires trajectoryImage generation
- OutputWrite the Coda what-if comparison page and return the linkCoda
What it does
It answers "can we afford these hires?" on demand. A webhook submits a proposed hiring plan (roles, count, fully loaded cost, start dates). The workflow pulls current cash and burn from BigQuery, layers the new payroll onto the burn curve, and produces a Coda page comparing current runway to post-hire runway, including the new projected zero-cash date.
When to use it
When a hiring manager or founder is weighing a specific headcount decision and needs the runway impact fast, not at the next monthly cycle. Wire the webhook to a form or a button in your planning tool.
How it works
- 1A webhook receives the proposed hiring plan payload.
- 2It validates the payload has roles, counts, loaded cost, and start dates.
- 3It queries BigQuery for current cash and baseline burn.
- 4It layers the staggered new payroll onto the burn curve and recomputes runway and zero-cash date.
- 5It charts the baseline-versus-with-hires burn trajectory.
- 6It writes a Coda what-if page with the side-by-side comparison and returns the link in the webhook response.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect CodaDocs, packs, automations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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