01 — NORMALIZE
Build the evidence ledger
Normalize objectives, success criteria, milestones, stakeholder roles, technical result, commercial outcome and available decision evidence across the cohort.
Founder-led · fixed scope · async
When technical validation passes but the deal still does not close.
DealCause reconstructs what happened between a technically successful enterprise evaluation and the final commercial outcome — from sanitized historical evidence, with visible counterevidence and explicit UNKNOWN where causality cannot be supported.
No CRM integration
No mandatory call
3–5 historical evaluations
How it works
Separate technical success from buying-decision failure.
Built for sales-led B2B SaaS and AI teams running repeated enterprise POCs, POVs or equivalent technical evaluations.
02 — ADJUDICATE
Claims, counterevidence, UNKNOWN
Distinguish what the record actually supports from plausible explanations that remain unproven or contradicted.
03 — TEST
Turn patterns into experiments
Translate recurring mechanisms into bounded changes for the next evaluation cohort, with explicit hypotheses and measurable outcomes.
Good fit when
- You run repeated enterprise POCs, POVs or technical evaluations
- Technical validation consumes meaningful SE or engineering capacity
- Some evaluations pass technically but still fail commercially
- You have at least 3 historical evaluations with usable evidence
- You want a written retrospective rather than another platform rollout
A strong fit does not guarantee a causal answer. If the record cannot support one, the conclusion stays UNKNOWN.
What you do not need to provide
- CRM credentials or system access
- Customer names when pseudonyms are sufficient
- Secrets, passwords or API keys
- Unredacted regulated or sensitive data
- Mandatory discovery workshops
- New buyer interviews for the first pass
Before evidence is shared, DealCause confirms the minimum sanitized input required and whether the available record is sufficient for a useful diagnostic.
Fixed-scope engagements
Clear scope, clear price, no platform rollout.
Start with the smallest cohort that can answer the decision. Each tier begins only after payment and the sanitized evidence pack pass the intake gate.
Pilot · 3–5 POCs
$2,500 USD
A bounded first engagement for teams that want to evaluate the method on a small historical cohort. Target delivery: 7 business days after complete accepted intake.
Input3–5 historical evaluations
InteractionAsync; one written clarification round
OutputDecision Pack
IntegrationNone required
Data postureSanitized / pseudonymized where possible
Buyer protectionEvidence sufficiency checked before bespoke analysis
Standard · 6–10 POCs
$4,500 USD
For a broader historical cohort when the additional evidence can materially improve cross-POC pattern analysis. Target delivery: 10 business days after complete accepted intake.
Input6–10 historical evaluations
InteractionAsync; one written clarification round
OutputDecision Pack
Change controlMaterially new scope is agreed in writing
PaymentFirst engagement defaults to cleared upfront payment
Buyer protectionRescope or refund of unstarted work if intake cannot support the agreed diagnostic
Decision Pack
A decision instrument, not a generic report.
The output is built for revenue and presales leaders to decide what the evidence supports, what remains unknown, what likely mechanism deserves attention, and what to test next.
What the Decision Pack is designed to answer
What happened in each POC? Which explanations survive counterevidence? Which remain UNKNOWN? Which mechanism repeats across the cohort? What decision should leadership make now, and what evidence should the next cohort collect to confirm or reject it?
Executive Decision Brief
The decision-relevant mechanisms, confidence boundaries and priorities in one executive view.
POC Decision Reconstruction
POC-by-POC timeline, actors, success criteria, technical result, commercial outcome and missing decision evidence.
Failure Mechanism Map
Competing technical and commercial explanations tested against support, counterevidence and UNKNOWN.
Cross-POC Pattern Matrix
Recurrence counted across independent POCs without turning repeated notes inside one deal into a false pattern.
Economics & capacity layer
Only defensible calculations: where presales effort or cycle time was consumed and which assumptions remain explicit.
Next-Cohort Experiment Cards
Owner, minimum reversible action, hypothesis, required evidence and explicit success/failure criteria.
Audit & activation appendix
Evidence provenance, limitations and a practical activation sheet so the analysis does not end as a report nobody uses.
Boundaries
Credibility comes from saying what the evidence cannot prove.
DealCause is positioned as a bounded managed forensic, not as a claim that generic AI or existing presales tools cannot solve parts of the problem.
No invented causality
If a causal explanation is not supported by the record, it remains UNKNOWN.
No platform migration
The initial diagnostic does not require a CRM integration, new system of record or ongoing software commitment.
Existing tools may be enough
If your current workflow already resolves these cases reliably, a separate DealCause forensic may not add enough value.
Trust before data
Evaluate the method and data posture before you share a real POC.
DealCause is a new founder-led practice. There are no fabricated client logos, case studies, certifications or outcome claims. Trust is built from a visible method, a fictional sample, bounded scope and transparent security limits.
Illustrative sample
See what evidence adjudication looks like.
A fictional three-POC Decision Pack excerpt shows evidence adjudication, competing mechanisms, cross-POC patterns, an executive decision and falsifiable activation experiments. It is explicitly not client work.
Open fictional sample →Security & procurement
Know the current controls — and current limits.
No CRM credentials, production access or software installation are required. Review the data-minimization model, AI-processing gate and the certifications DealCause does not claim to hold.
Review security posture →Independent research
Evaluate the thinking before you evaluate the service.
DealCause is early-stage and does not substitute invented social proof for earned credibility. Public field notes show how the method separates technical validation from the buying decision, what the evidence can support, and where it must stop.
Field Note 001
A technical win is not a buying decision.
A public-evidence note on why technically successful enterprise evaluations can still fail commercially — and what can and cannot be inferred from seller-side records.
Read the field note →Founder-led
One accountable principal, one narrow method.
Omar Polizzi is Founder & Principal. DealCause is intentionally narrow, fixed-scope and evidence-first. No invented team size, client roster, credentials or outcome claims.
Ask about the method →Questions
Easy to evaluate before you share data.
Do we need to integrate DealCause into our stack?
No. The initial diagnostic is deliberately bounded and works from a small sanitized historical evidence pack.
What if Homerun, Vivun, our CRM AI, or our internal process already solves this?
Then you may not need DealCause. The evidence-schema step is designed to determine whether a separate forensic adds useful resolution beyond the workflow you already have.
Will DealCause claim to know why a deal was lost when the evidence is weak?
No. Unsupported causal explanations remain explicitly UNKNOWN.
Do we need to share customer names or sensitive credentials?
No. The initial analysis is designed around redacted or pseudonymized material. Credentials, secrets and unredacted sensitive data should not be sent.
Do we need a call before deciding?
No mandatory call is required for the initial evaluation. The first step is the one-page evidence schema and an asynchronous fit check.
How long does delivery take?
Target delivery is 7 business days for the 3–5 POC Pilot and 10 business days for the 6–10 POC Standard engagement, starting after payment and a complete accepted evidence pack. Buyer-caused missing information or an agreed rescope pauses the clock.
What if our evidence is not sufficient?
DealCause checks fit and evidence sufficiency before bespoke analysis begins. If the agreed diagnostic cannot be responsibly supported, the engagement is re-scoped or unstarted work is refunded under the written terms rather than forcing a weak conclusion.
Do you have client case studies or security certifications?
Not yet for this offer. DealCause does not fabricate proof or badges. The fictional sample demonstrates format and method only, and the security page states the current posture and limitations explicitly.
Start with the evidence schema.
See exactly what the diagnostic needs before deciding whether the historical record is safe and useful to share.