Common Deal Contexts

Know the failure mode before you price it.

A visual reference for recurring diligence + post-close realities. Pick the context, get the KPI reset, and see what evidence would actually change the decision—without memo churn.

Browse Contexts → Generate Decision Snapshot →

Deal contexts

Open a card for the KPI reset + checkpoints.

B2B SaaS (post-close GTM + KPI reset)

The product didn’t fail—the GTM system did. Your KPI tree is lying.

conversion drift cycle time creep logo vs dollar retention

What breaks first

  • Forecast confidence (single-point plans don’t survive scrutiny).
  • ICP sprawl → CAC creep → payback extends.
  • Expansion motion unowned (no clear operator).

KPI reset

  • Pipeline coverage · stage conversion · cycle time · win rate
  • CAC payback · sales efficiency · gross margin
  • GRR/NRR by cohort · time-to-value distribution

Proof checkpoints

  • Cohort retention by segment + reason-coded churn.
  • CRM hygiene + pipeline stage audit.
  • % ARR inside ICP vs outside.

Day-30 cadence

  • Weekly scorecard review with owner actions.
  • 2-week “constraint hunt” on conversion loss.
  • Decision log for metric definitions.
Best next step: Decision-grade diagnostic Stop if: retention drivers undefined

Tech-enabled Services (initiative sprawl / margin leakage)

Revenue grows, but margin disappears through exceptions, rework, and unpriced scope.

exceptions rework cost-to-serve unknown

What breaks first

  • Delivery standardization (exceptions become default).
  • Cost-to-serve visibility (unit cost unknown).
  • Accountability (too many workstreams, no owners).

KPI reset

  • GM by service line · contribution by customer
  • Estimate vs actual variance · utilization · billable yield
  • Rework rate · SLA adherence · change-order capture

Proof checkpoints

  • Margin bridge: estimate → actual by job type.
  • Exception log count + cost with reason codes.
  • Pricing waterfall by segment.

Day-30 cadence

  • Weekly margin review + top leakage drivers.
  • Initiative kill-list tied to throughput/margin.
  • Exception queue governance (learnable, not hidden).
Best next step: Margin leakage diagnostic Stop if: job costing isn’t trusted

FinTech (governance, compliance drag, KPI clarity)

Value is real, but it’s trapped behind controls, audit gaps, and unclear KPI ownership.

controls drag multiple truths decision rights unclear

What breaks first

  • Governance rhythm (no decision rights / escalation).
  • KPI ambiguity (multiple “truths”).
  • Controls bolted on after the fact (change friction).

KPI reset

  • Findings aging · control coverage · incident response time
  • Approval rate · fraud loss % · chargebacks · KYC pass rate
  • Unit cost per account/transaction · margin net of losses

Proof checkpoints

  • Control inventory mapped to processes.
  • KPI definitions ledger (system-of-truth per KPI).
  • Compliance “time tax” estimate by team.

Day-30 cadence

  • Weekly governance council (decision rights explicit).
  • Evidence owners + timelines (not “noted” risks).
  • Exception routing for risk/compliance blockers.
Best next step: Governance + KPI clarity sprint Stop if: no system-of-truth per KPI

Manufacturing / Industrial Services (integration + throughput constraints)

Synergies don’t matter if you can’t ship—throughput is the constraint.

lead time expands WIP grows constraint unclear

What breaks first

  • Constraint identification (local optimization wins).
  • Schedule adherence (real capacity unknown).
  • Supplier reliability + changeover discipline.

KPI reset

  • OEE · uptime · scrap · rework · FPY
  • Lead time · WIP · schedule adherence · OTIF
  • Turns · stockouts · master data/BOM accuracy

Proof checkpoints

  • True constraint analysis (data + observation).
  • Yield loss tree and top drivers.
  • Inventory health audit + obsolescence.

Day-30 cadence

  • Daily constraint standup + weekly ops review.
  • Integration decisions tied to throughput impact.
  • Same-day escalation for schedule misses.
Best next step: Throughput constraint diagnostic Stop if: capacity is unknown/unmeasured

Education Services (unit economics + enrollment cadence)

Demand is seasonal. If you don’t model cadence, you’ll misread unit economics.

seasonality cohort economics capacity mismatch

What breaks first

  • Cohort visibility (intake → persistence → completion).
  • Cost allocation (unit cost per student/program unknown).
  • Capacity planning (staffing mismatched to peaks).

KPI reset

  • Lead-to-enroll · cost per start · start yield by channel
  • Retention by week/month · stop-out reasons
  • Contribution per cohort · CAC payback · LTV by segment

Proof checkpoints

  • Cohort funnel with reason codes (SIS/CRM).
  • Channel ROI by intake period.
  • Capacity plan vs enrollment forecast.

Day-30 cadence

  • Weekly enrollment council during peak periods.
  • Single shared scorecard across marketing/ops/finance.
  • Cadence model refreshed per intake.
Best next step: Cohort economics reset Stop if: cohort data isn’t connected