Survey 1 · Internal failure analysis

What did we do wrong—
and what could have saved the client?

The customer’s stated reason is evidence. It is not automatically the diagnosis.

We reviewed the full operating trail across Sales, Development, PM, Billing, email, and tickets—then separated the cancellation trigger from the internal failures that may have made the account vulnerable.

6had a supported internal process issue
4were partly preventable
14remain unknown on preventability
1was not evidently preventable

01 · The new lens

One cancellation. Four different truths.

The site now makes the management question explicit. We do not stop at the dropdown reason or the final customer sentence.

01

What the customer said

The direct claim, in their own words when available.
02

What the record proves

Promises, build history, tickets, messages, billing, and outcomes.
03

What failed internally

A supported or possible Sales, Development, PM, or Billing issue.
04

What might have saved them

The earliest realistic intervention—not a hindsight fantasy.
Key ruleAn internal issue can be real without being the reason the customer left. We track both—and never silently turn correlation into blame.

02 · Preventability

We found failures. We did not always prove causation.

Six Website deal rows contained at least one supported internal process issue. Only four had enough evidence to connect the situation to a plausible save opportunity.

Preventability across 19 Website deal rows

4114
Partly preventable 4Not evidently preventable 1Unknown 14
6supported internal issue observed
4partly preventable cancellation

A billing, QA, or routing defect may exist even when the final cancellation cause cannot be established.

Where the operating record points

Process findings by function

Deal-row classifications across 19 Website cancellations. These are not employee rankings.

Sales
2611
Development
1855
PM / recovery
2935
Billing
3565
Supported issuePossible issueNo issue observedUnknown

03 · Case evidence

What we did, what mattered, and where the save lived.

These are anonymized case-level diagnoses. They illustrate the method; they do not establish prevalence across the company.

Case 11303 days after delivery

We never reconciled activity with value

Customer said

The customer reported little commercial return, unfinished corrections, and a move to a new provider.

Evidence shows

Long and reopened tickets, pricing confusion, competing completion claims, and no raw qualified-lead or revenue truth set.

Our diagnosis

A shared failure: unclear expectations, slow follow-through, and no agreed definition of a successful lead.

Save opportunity

A 30/60-day value review, signed correction closure, and lead-quality reconciliation before frustration hardened into a switch.

Case 1556 days after delivery

The stop signal never became a save signal

Customer said

The customer said a partner preferred other website developers and asked what was needed to place the account on hold.

Evidence shows

A later draft-review follow-up was still sent. No acknowledgment, routing record, or recovery attempt was preserved.

Our diagnosis

The partner decision may not have been ours—but the missed routing removed our chance to understand or recover it.

Save opportunity

Same-day escalation, one accountable owner, and a partner-objection call within one business day.

Case 011,096 days after delivery

Quality, price, and ownership were fragmented

Customer said

Records variously pointed to cost, another provider, an incorrect address, an unwanted photo, chargeback, and nonresponse.

Evidence shows

An outside provider was taking over; billing disruptions and rate changes were real; the final website state and handoff were not reconciled.

Our diagnosis

No single owner assembled the full account truth early enough to distinguish a fixable service problem from a completed provider switch.

Save opportunity

Rapid site audit, address/photo correction, billing reconciliation, and a documented recovery decision before releasing the handoff.

Case 18Pre-delivery fallout

We charged before alignment was proven

Customer said

The customer reported limited funds, disputed the upfront charge, and said the Shopify scope and recurring price differed from the order understood.

Evidence shows

The record contains $144, $244, and $394 recurring figures plus conflicting “update” versus “replicate” descriptions.

Our diagnosis

Sales and billing controls failed to preserve one accepted scope, one price, and a verified readiness decision.

Save opportunity

Signed terms before charge, scope read-back, affordability check, and a phased option when the buyer cannot fund the full setup.

Case 021,068 days after delivery

Not every cancellation is ours to prevent

Customer said

The customer said the business was slowing down, praised the team, and said the website was well liked.

Evidence shows

The direct message aligns with the business-change label; no service complaint was established at cancellation.

Our diagnosis

Customer business change—not an evidenced Sales, Development, PM, or Billing failure.

Save opportunity

A pause or low-cost archive offer was worth trying, but retention was not evidently within our control.

04 · Operating response

Turn each failure into a control and a clock.

The pilot supports concrete process changes now—even before a larger cohort supports prevalence claims.

01Sales

One accepted promise

Record the customer goal, scope, platform, timing, setup price, monthly price, financing, and lead-language read-back before charging.

Before setup payment
02Development

Evidence-backed launch

Preserve QA, live-site proof, customer revisions, form delivery, final approval, and any unresolved defect at handoff.

Before Delivered
03PM

A recovery clock

Route every stop, hold, dissatisfaction, lead-value, or provider-switch signal to one owner within one business day.

At first risk signal
04PM + SEO

Define value together

At 30, 60, and 90 days, reconcile traffic with qualified calls, forms, lead quality, response handling, and the customer’s actual outcome.

After launch
05Billing

One commercial truth

Maintain the accepted price, every approved change, successful charges, credits, disputes, refunds, and final account closure in one linked record.

Every price change

Proposed save sequence

1Risk signal2Owner assigned3Account truth assembled4Recovery offer5Outcome documented
Target: first owner response within one business day.

05 · Evidence discipline

“Unknown” means investigate—not exonerate.

Fourteen of 19 Website deal rows remain unknown on preventability. That is the largest operational finding in Survey 1.

Customer claim

Preserve it exactly, but test it against the full journey.

Internal record

Separate staff completion claims from customer acceptance and live-state proof.

Causal judgment

Rank causes only when the evidence connects the failure to the decision.

Save judgment

Name the earliest realistic intervention and the owner who could have acted.

784Vault source copies parsed
580case-attributed messages
244relevant messages classified
118quarantined from unsafe attribution

06 · Scale plan

Ask the same accountability question 100 times.

The next cohort should be the most recent 100 cancellations, reviewed with the same internal-failure, preventability, and save-opportunity framework. Then expand to the last three months—estimated around 900.

Survey 1 · complete20

Prove the method

Separate claims, triggers, internal failures, causation, and save opportunities.

Next cohort100

Find repeatable failures

Test whether the same process breakdowns recur across recent cases.

Then~900

Measure the patterns

Review the full three-month period after the 100-case quality gate passes.

Rate unlockAdd active delivered Website customers for the same period. Cancellation files alone can diagnose losses—but cannot prove what separates churned customers from retained ones.