Fill-in artifacts engineers and PMs work through and walk away with a populated document. Each one forces the thinking that should have happened before code was written or compliance review was scheduled — and produces an artifact you can attach to a ticket or paste into a deck.
Each worksheet produces a populated document you can attach to a Jira ticket, paste into a Slack channel, or hand to a steering committee.
ROI calculators, sizing computations, and coverage roll-ups recalculate as you type — no submit button.
Half-fill it on a Tuesday, finish it on a Friday — the worksheet remembers everything across sessions on this device.
Take it online, or download the XLSX (live formulas) or PDF (printable) to continue offline.
Guess the corpus size and you either ship bugs it never reached, or burn compliance hours on cases the feature never touches. Compute a defensible floor from your feature's code paths and edge cases, not a guess.
Engineering hours are the visible cost of building synthetic data in-house; compliance review and regulator-tracking refreshes are what teams forget to count. Compute the real cost both ways and the payback period.
A blank cell on this grid is a bug waiting to happen: code paths down the rows, demographic and account slices across the columns. Fill it in and see which intersections your corpus quietly skips.
Comparative rationale is the most-cited Care Obligation gap — the file has the suitability fields but never the comparison to the alternative. List every recommendation type and capture that evidence first.
A monitoring rule without a test case is a rule you can't defend in an exam. Map each typology you monitor — structuring, layering, source-of-funds, PEP-adjacent — to the synthetic transactions that fire it.
Subprocessors are the most-missed line item here — the vendor's vendor handles your NPI too. Build the system-by-system inventory the Safeguards Rule risk assessment requires, mapped to each 16 CFR 314 control family.
A TLH engine that ships without exercising every wash-sale variant ships with a footnote — cross-account cases, especially spouse-IRA repurchases, are what most teams miss. Design those cases before they ship broken.
Handling the median client well is unremarkable; what makes a robo-advisor defensible is how it responds to retirement, divorce, and panic-sell signals. Map the data signal and response for each event.
"Test the agent's memory" isn't a test plan until it's broken into five concrete question shapes — recall, rationale, precedent, ordering, attribution — each with a real scenario and a known correct answer to check against.