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…

CategoryFinance
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

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 BigQueryGoogle 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 linkCodaCoda

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

  1. 1A webhook receives the proposed hiring plan payload.
  2. 2It validates the payload has roles, counts, loaded cost, and start dates.
  3. 3It queries BigQuery for current cash and baseline burn.
  4. 4It layers the staggered new payroll onto the burn curve and recomputes runway and zero-cash date.
  5. 5It charts the baseline-versus-with-hires burn trajectory.
  6. 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.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect CodaDocs, packs, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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