Problems › We Cannot Tell If the Strategy Is Working › Banks & Financial Services
A strategy that cannot be wrong cannot be checked, and most written strategies are written so that they cannot be wrong. This page works through it for banks and financial services firms specifically — including an unedited excerpt from a real analysis of a bank.
A strategy that cannot be wrong cannot be checked, and most written strategies are written so that they cannot be wrong. Banks and financial services firms carry a specific bind here — the branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement. Until that is priced, efficiency ratio will keep moving for reasons nobody can attribute, and the debate about leading indicators will stay a matter of opinion.
The usual reason a strategy cannot be evaluated is that it was never stated in a form that could fail. "Become the leading provider" produces no observation that would contradict it, so it survives indefinitely regardless of results.
A checkable strategy names the mechanism — this action produces this change in this number by this date — and the observation that would say the mechanism is not working. That second half is what converts a plan into something you can manage against.
The other frequent cause is lag. Strategies operate on horizons longer than reporting cycles, so the honest response is to identify leading indicators that move early and to state in advance what they should read.
These three together are the signature. One on its own usually points somewhere else.
✓ The strategy has no failure condition written anywhere
✓ Progress is reported as completed activity
✓ Reasonable people disagree about whether it is working and cannot resolve it with data
The move that usually makes it worse. Adding more reporting, which increases the volume of numbers without making the strategy falsifiable.
It is for you if you run or finance a bank and the strategy has no failure condition written anywhere. 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 bank. 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 Harborline Financial Group, a sample company profile used for testing rather than a customer — $3.1B commercial lending book, $410M of deposits.
Excerpt from a real Percision run · Pricing Strategy · sample company profile
The move. Turn 71% of commercial borrowers into treasury customers at 65% contribution margin using existing branches and the 2027 core renewal.
The leak it closes. Reduces value transfer to fintech treasury platforms by locking 425 accounts into integrated deposit-lending workflow
The assumption it rests on. Core banking processor grants API depth at no incremental cost during 2027 renewal — the engine put the probability at 0.7.
| Investment required | $4–6M over 24 months ($2.5M technology integration, $1.5M 8 FTE hiring & training, $1M compliance & SOC-2 certification) |
| Expected return | 5.5× — $11M 5-year NPV on $5M investment |
| Revenue, year 1 | $0.45M incremental fee income (75 accounts × $4,200 × 65% margin × 6 months) |
| Revenue, year 2 | $1.79M incremental fee income (425 accounts × $4,200 × 65% margin) |
| Revenue, year 3 | $3.57M incremental fee income (850 accounts × $4,200 × 65% margin) |
| Exit criteria | Halt treasury build and reallocate remaining capital to SBA lending if (a) penetration <15% of overlap accounts by Month 18 OR (b) cumulative fee income < $800K by Month 18 OR (c) core-processor renewal does not include API depth clause by Month 6 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For banks and financial services firms it works through efficiency ratio, cost of funds, origination per banker and deposit concentration, 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.
The mechanism it depends on, not the outcome it promises. Outcomes lag; mechanisms move early and tell you sooner whether the causal claim holds.
Decide before starting, and tie it to the mechanism's natural cycle. Deciding afterwards guarantees the timeline is chosen to fit whatever result arrived.
That is usually a sign the strategy was not specific enough to produce a clean test. Narrow it until one number would settle the argument.
Materially, yes. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are efficiency ratio, cost of funds, origination per banker, 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 efficiency ratio and cost of funds. 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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