Bridge Volume Diagnostic

Where is the volume gap coming from?

To answer that, split the diagnosis into two funnels. First ask whether the right accounts are reaching signature at all: enough leads, real ICP fit, a concrete use case, and a signed contract. Then ask whether signed developers can actually reach volume: do they know what to build, can they clear KYB/compliance, and does usage repeat? Use-case clarity is a risk at both stages. A weak use case before signing produces low-intent accounts; an unclear use case after signing stalls an otherwise qualified developer. The gap lives somewhere in that sequence. Find it before changing policy, pricing, or headcount.

■ Locate the first major leak. Everything else follows from that.

Split the problem into two funnels

The issue may start before signature. Read lead volume, lead quality, contract conversion, and post-sign activation separately.

Funnel 1: Lead generation to signed conversion

Pre-sign

Leads generatedAre there enough near-term qualified prospects?

Leads qualifiedIs the ICP fit real, or just interest?

Use case clearIs the workflow concrete enough to sign?

Opportunity scopedAre the owner, launch path, and timing known?

Contract sentIs signing friction creating avoidable delay?

SignedIs the account forecastable or speculative?

This funnel tests whether Sales is moving the right prospects to signature, with a concrete use case and a clear launch path confirmed before signing.

Funnel 2: Signed account to $10K+ volume

Post-sign

Signed accountWho signed, and why now?

Post-sign use case clearDoes the developer know what to build first and what success looks like?

KYB readyCan the account clear KYB/compliance?

API key usedDid a developer start integrating?

First transactionDid real money move?

Repeat usageDid the workflow repeat?

$10K+ volumeDid the account clear target?

This funnel starts from the developer's seat: after signature, some accounts may not know what to use Bridge for or what to build first. That ambiguity blocks every subsequent stage.

Rank the biggest leaks before choosing fixes

Bars show review priority order, not measured Bridge data. Replace bar lengths with cohort counts to see whether the miss is pre-sign, post-sign, or both.

Illustrative priority stack

Lead volume low

GTM

Lead quality poor

Sales

Use case unclear pre-sign

AE + Strategy

Qualified to contract weak

AE + Strategy

Contract signing slow

Sales Ops

Use case unclear post-sign

Product / DX

KYB or compliance aging

Compliance

Developer integration stall

Product / DX

First transaction not reached

GTM + DX

Repeat usage weak

Product

Bar lengths reflect suggested review priority. Replace with actual cohort drop-off counts.

How to read the data

If loss is pre-signInspect lead count, lead source, AE conversion, ICP fit, use-case capture, and contract cycle time.

If use case is unclear post-signThe developer may not know what workflow to build first. Assign a named owner to define the first launch path and success milestone before KYB or integration begins.

If loss is elsewhere post-signInspect KYB age, API key usage, first transaction age, error logs, support tickets, and repeat transaction rate.

If both are leakingSeparate strategic accounts from low-intent signings so the forecast is honest.

Route each account by evidence

The decision should differ by segment. Some accounts need tighter qualification; others need a named blocker owner.

Segment	Likely cause	Signals to check	Owner	Next action
Lead volume constrained	Not enough qualified opportunities entering the funnel.	Lead count by source, geo, ICP, AE, and week.	GTM	Fix sourcing before addressing activation.
Low intent or bad fit	The account was unlikely to move near-term volume.	No named use case, no launch date, weak owner.	Sales	Tighten qualification and forecast rules.
Contract conversion blocked	Good prospects stall before or during signature.	Contract age, redline count, cycle time, legal back-and-forth.	Sales Ops	Reduce signing friction and clarify approvals.
Use case unclear after signing	Account signed, but the first workflow is not obvious to the developer. They may not know what to use Bridge for or what to build first.	No API key activity, no support ticket, no developer named, no launch milestone set.	Product + DX	Define the first launch path and success milestone before integration begins.
Good fit, post-sign blocked	The account wants to transact but is blocked by KYB or integration.	KYB age, API errors, docs views, support tickets.	Ops + Product	Clear the blocker with one owner and a date.
Activated, not growing	First transaction happened, but usage does not repeat or expand.	Second transaction, 30-day repeat, volume per active developer.	Product	Inspect workflow fit, limits, pricing, and the next use case.
Strategic, low-volume	Signed for geography, ecosystem, partner signal, or product learning.	Exec rationale, learning goal, forecast exclusion, volume horizon.	Strategy	Track intentionally, separate from the volume miss.

Week-one operating pass

In week one, find the first major leak, the biggest recoverable segment, and the owner who can move it.

1. Build the cohort viewLead source → signed → use case confirmed → KYB → API key → first txn → repeat → $10K+.

2. Size each drop-offUse counts, time aging, and volume at risk, not averages.

3. Investigate the largest leakStart where recovery is largest and ownership is clear.

4. Assign the ownerGive each blocker one owner across Sales, Ops, Product, DX, or Strategy.

The practical question is where the volume is being lost: weak-fit accounts entering the funnel, good prospects stalling before signature, or signed developers blocked before repeat usage, including those who signed without a clear first workflow.Once that is known, the fixes are specific: qualify differently, define the first launch path, remove a compliance blocker, or track a strategic account outside the volume forecast.