Problems › What Should We Do Next Quarter? › Fintech
Most quarterly plans fail on capacity arithmetic rather than on choice of priorities. This page works through it for fintech companies specifically — including an unedited excerpt from a real analysis of a fintech.
Most quarterly plans fail on capacity arithmetic rather than on choice of priorities. For fintech companies, this shows up in a particular place. The numbers that carry the answer are blended take rate and charge-off rate, and the complication specific to this industry is that lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple. The general version of this problem and the one you are actually in have different first moves.
A quarter contains a fixed amount of management attention and a fixed amount of cash, and most plans commit more of both than exist. The result is not failure but silent triage: the organisation does the subset it can and nobody records which parts were dropped.
A plan that survives contact ranks candidate moves by return, checks each against the capacity actually available, and sequences them so the first funds or unblocks the second. Three real priorities beat twelve stated ones every time.
The part almost always missing is the stopping rule — the observation that would say a chosen move is not working, defined before it starts rather than argued about afterwards.
These three together are the signature. One on its own usually points somewhere else.
✓ Last quarter's plan was partly done and nobody formally dropped anything
✓ Priorities are listed but not ranked
✓ No initiative has a written failure condition
The move that usually makes it worse. Committing to everything that seems important, which guarantees the organisation chooses for you and chooses by convenience.
It is for you if you run or finance a fintech and last quarter's plan was partly done and nobody formally dropped anything. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a fintech. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Verrano Pay, a sample company profile used for testing rather than a customer — $84M net revenue, 28,000 merchants, $9.4B of payment volume.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Convert the $110M lending book into a two-sided marketplace that adds 100k merchants and 3+ capital providers within 36 months while staying inside the $150M warehouse facility
The leak it closes. Plugs value leakage to partner platforms by surfacing competing capital offers inside the Verrano dashboard, reducing merchant incentive to leave the ecosystem when platforms launch competing lending products
The assumption it rests on. Warehouse facility remains available at current terms for at least 24 months — the engine put the probability at 0.75.
| Investment required | $2.1M-$4.2M total over 36 months |
| Expected return | 18.3×-54.9× on $2.1M-$4.2M investment if marketplace captures 15-45% of $42B TAM at 70% contribution margin |
| Revenue, year 1 | $1.9M-$5.8M marketplace revenue |
| Revenue, year 2 | $7.7M-$23.1M marketplace revenue |
| Revenue, year 3 | $19.2M-$57.6M marketplace revenue |
| Exit criteria | Terminate marketplace initiative if fewer than 2 capital providers commit by Month 12 OR if 90-day rolling charge-off rate exceeds 7.5% before Month 18; redirect resources to direct-acquisition lending expansion or payments CAC payback improvement |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Growth Portfolio Framework, one of 29 engagements the platform runs. For fintech companies it works through blended take rate, charge-off rate, contribution margin and CAC by channel, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
As many as your real capacity supports, which in most small and mid-sized businesses is two or three. The number is arithmetic, not philosophy.
Rank by return on the capacity each consumes, then by reversibility. When two are close, do the one you can stop.
That is what the stopping rules are for. A plan with pre-agreed failure conditions can be changed on evidence rather than on argument, which is the difference between adapting and drifting.
Materially, yes. Lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are blended take rate, charge-off rate, contribution margin, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on blended take rate and charge-off rate. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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