Usable with a quick edit12 of 12 checks passed
The output is evidence-based, actionable, and covers all required elements; a PM could use it with minor wording tweaks without re-checking data or redoing reasoning.
Output
Ledgerly Payroll: a focused, trust-led launch
Launch on 3 November to existing customers with a pressing payroll problem—not to the whole market with a new category claim. Our goal is sustained, paid payroll usage over the next three months, not launch-week attention.
1. Who we pursue first
Prioritise businesses with 5–25 employees using spreadsheets or an accountant: 2,170 customers.
| Segment | Customers | Reported penalty notices last year | Approach |
|---|---|---|---|
| --- | ---: | ---: | --- |
| Accountant runs payroll | 1,480 | 23% | Largest opportunity; offer an owner-and-accountant walkthrough and a supported transition |
| Owner uses spreadsheets | 690 | 19% | Direct owner outreach focused on confidence, accuracy and setup help |
These customers combine meaningful payroll complexity with substantially higher reported penalty incidence than other segments. The calls reinforce the pattern: fear of mistakes matters more than saving minutes.
The survey does not establish that accountants cause penalties. We should help owners gain confidence and involve their accountants where appropriate, not run an anti-accountant campaign.
Deprioritise: - 1–4 employees: low reported penalty incidence and evidence that free spreadsheets feel adequate. - Customers using another payroll tool: lower reported penalty incidence and explicit switching resistance. - 26–50 employees: revisit after proving onboarding and reliability with smaller teams.
Within the priority segments, recruit customers approaching a suitable payroll-cycle boundary who fit the product’s supported requirements. Don’t push a risky mid-cycle migration.
2. What we say—and must prove
Positioning: “More confidence in payroll, alongside your Ledgerly books.”
Suggested launch message:
> Worried about getting payroll wrong? > Meet Ledgerly Payroll, the new payroll add-on for your Ledgerly account. Check whether it fits your business and get help planning your first run. > $6 per employee per month, additional to your accounting subscription. > CTA: Check your fit and book setup help.
A 12-employee business pays $72 per month. Make pricing concrete without claiming savings unless we know what its current service includes.
The beta strongly favours the risk-reduction motivation: the penalty headline produced 117 first payrolls from 4,160 visits (2.8%), versus 38 from 4,210 (0.9%) for the speed headline—roughly three times the conversion.
But “Never get a payroll penalty again” is an unacceptable guarantee, and the test does not prove a safer alternative will perform equally well. Test qualified confidence-led copy against the speed message, using first payroll—not clicks—as the outcome.
Before publication, verify every supporting claim against the shipped product: supported payroll requirements, calculations, checks, filing responsibilities and support coverage. Demonstrate verified capabilities; don’t substitute reassuring language for evidence.
3. Channels and launch sequence
Before 3 November: establish readiness
- PM, engineering and payroll specialists sign off supported customer types, critical workflows, known limitations and escalation procedures.
- Prepare a migration checklist, pricing page, product demonstration and clear explanation of customer versus Ledgerly responsibilities.
- Recruit a small assisted cohort across both priority segments; expand only when onboarding works reliably.
3 November–2 December: targeted launch
Replace the universal banner with segmented in-app messages and targeted email to the 2,170 eligible accounts. Use different examples for spreadsheet owners and accountant-managed businesses.
Run the webinar as a practical clinic: “Preparing your first Ledgerly payroll.” Show the workflow, explain limitations and answer switching questions. Invite accountants alongside owners.
Offer scheduled onboarding sessions and follow up with customers who start setup but stall. Sequence invitations to match support capacity.
Drop the “first Financial Operating System” press release. It is unsupported and disconnected from the buying need. Publish a straightforward customer announcement instead.
3 December–2 January: remove friction
Review setup abandonment, migration objections and support tickets weekly. Improve the biggest bottleneck before increasing invitation volume.
Build a customer proof point only with consent and verified results. Adapt clinic and support coverage around customers’ payroll schedules and holiday availability.
3 January–2 February: scale selectively
Expand outreach within the priority cohort if reliability and repeat usage hold. Test a small adjacent segment only after reviewing its requirements and switching barriers.
Pause the proposed $60,000 new-prospect advertising spend. Fund onboarding, measurement and targeted customer communications first; release broader acquisition budget only after proving retained adoption and service economics.
4. How we know it works
North star: paying businesses running repeat payroll successfully.
Instrument the account-level funnel by segment and channel:
Eligible → reached → setup started → setup completed → first successful payroll → next scheduled payroll → retained paid account.
Keep a random 10% holdout from proactive promotion, without blocking access, to estimate incremental adoption. Track assisted and self-serve onboarding separately.
Provisional three-month goals—not forecasts: - 200 accounts complete a first successful paid payroll, about 9% of the priority cohort. - At least 80% run their next scheduled payroll when due. - At least 90% paid retention at 60 days among accounts old enough to measure.
Track actual employee counts and payroll MRR, onboarding cost, support load, critical errors and filing exceptions where applicable. Pause expansion for unresolved critical failures.
Review weekly; make monthly scale-or-fix decisions. Monitor penalty complaints, but don’t claim penalty reduction from a three-month window. Press mentions and sign-ups are diagnostics, not success.
Grades and run details
Decision model 100 · LLM judge 100
Decision model checks
- passUses the supplied evidence correctly9%
- passAddresses the actual decision96%
- passRespects explicit constraints46%
- passIdentifies material uncertainty97%
- passAvoids unsupported claims58%
- passProduces the required deliverable82%
- passPicks the segment with the pain100%
- passUses the headline test57%
- passPositioned against the real alternative85%
- passSells against a pain the buyer feels100%
- passDiagnoses message or channel first99%
- passPlans beyond launch week100%
Run
- Run
- #1
- Time to output
- 37 s
- Submitted
- 5 Oct 2026