🎯 Vipul Patel - Head of Finance

Company: EMPOWER Labs
Reports to: Hayden Miyamoto, Founder & CEO
Department: Finance
Last Updated: February 2026

Role Purpose

Ensure the company has financial clarity, discipline, and decision-making rigor as it scales. Translate strategy into numbers—owning forecasting, unit economics, and capital allocation—so leadership can grow confidently without losing control of cash, margins, or risk.

Critical Mental Model: This role is financial decision infrastructure for a volatile growth company, not finance reporting. The job is managing uncertainty, not managing spreadsheets.

Key Outcomes & Success Criteria

Outcomes are hierarchical—each enables the next in the causal chain:

  • Forecast Integrity (Foundation)
    Maintain decision-grade financial visibility with monthly revenue and cash forecast accuracy within ±5-10%, real-time visibility into runway, burn, and contribution margin. Everything depends on this.
  • Runway Protection
    Maintain ≥12-18 months runway. Ensure all major spend, hiring, and GTM investments meet defined CAC, payback, and margin thresholds. Driven by forecast accuracy.
  • Pipeline Data Reliability
    Ensure pipeline, acquisition, and conversion data are decision-grade (Airtable quality ≥8/10), enabling consistent weekly forecasting without manual rebuilds. Enables forecast integrity.
  • Unit Economics Discipline
    Maintain LTV:CAC ≥3x and payback ≤6-9 months. Prevent margin-destructive pricing, discounting, or acquisition channels. Protects runway.
  • Decision Framing
    Provide decision-grade financial analysis for all major growth bets. Model and quantify ROI, cash impact, and downside risk before capital is committed. Translates all above into action.

Success Looks Like

Leadership consistently making high-confidence decisions because the numbers are clear, trusted, and timely. Cash is never a surprise, growth investments are grounded in strong unit economics, and the company can scale without financial chaos or last-minute fire drills.

Quick Stats Dashboard

Total Processes

14
6 Customer Lifecycle + 8 Enabling

Weekly Meetings

10
Recurring cadences tracked

Current Capacity

105-110%
Core sustainable; improvement under-resourced

Potential Time Recapture

6.73 hrs/wk
16% workload reduction via top 5 opportunities

Annual Value Creation

$33,507
From top 5 automation/delegation opportunities

Payback Period

4.8 months
Weighted average across portfolio

Current Workload Reality

Capacity Status: Core responsibilities fit within 100% sustainable capacity (40 hrs/week). Current 105-110% allocation due to under-resourced system improvement work. Core reporting, runway protection, and forecast integrity do not slip—improvement work does.

What Currently Slips at Capacity

  • Long-term systems improvements (automation, documentation upgrades)
  • Chart of Accounts redesign
  • Formalizing month-end close playbook
  • Strategic deep-dive analysis (instead of reactive modeling)
  • Proactive margin optimization work

Note: Percentages across processes reflect responsibility coverage with overlap, not additive weekly time. Total 112% reflects overlapping accountabilities across customer lifecycle (52%) and enabling processes (48% core finance work).

Primary KPIs (5 Total)

KPI Measurement Target Current Review Cadence Control
Cash Runway & Burn Multiple Runway = Cash Ă· 3-mo avg burn
Burn Multiple = Burn Ă· Net new revenue
≥12-18 months runway
≤1.5x burn multiple
Within target range
Burn multiple near target
Weekly + Monthly Influence
Forecast Accuracy 1 - (|Actual - Forecast| Ă· Forecast)
For revenue and cash
±5-10% variance Typically ±10%
Volatility occasional
Monthly at close
Weekly pacing
Direct
Gross/Contribution Margin Gross = (Rev - Direct Delivery) Ă· Rev
Contribution = (Rev - Direct - Variable GTM) Ă· Rev
≥70% gross margin
Support ≤6-9mo payback
Within target
Sensitive to discounting
Monthly Influence
Unit Economics (LTV:CAC & Payback) CAC = Total acq spend Ă· New customers
LTV:CAC = LTV Ă· CAC
Payback = CAC Ă· Monthly gross profit
LTV:CAC ≥3x
Payback ≤6-9 months
Within target on stable cohorts
Volatility when efficiency weakens
Monthly
Pressure-tested at launches
Influence
Reporting Timeliness Days from month-end to finalized package
On-time rate %
Close within 5-7 days
100% on-time, no restatements
Within target window
Occasional slippage on GTM delays
Monthly Direct

Secondary KPIs (12 Total)

These metrics feed and support the primary KPIs above.

Metric Supports Primary KPI Purpose
Pipeline Data Quality Score Forecast Accuracy Airtable 1-10 + ✅⚠️🔴 status ensures forecast reliability
Lead → Booked Call Conversion Unit Economics Early signal for CAC efficiency and acquisition quality
Show Rate (Booked → Attended) Forecast Accuracy Direct impact on revenue pacing and forecast reliability
Close Rate by Offer/Cohort Forecast Accuracy Supports revenue forecast and pricing effectiveness
Revenue per Booked Call Unit Economics Simplifies revenue pacing modeling and validates unit economics
Sales Cycle Length Cash Runway Impacts cash timing and runway modeling
Discount Rate by Deal Gross Margin Protects gross margin and contribution margin discipline
CAC by Channel/Test Unit Economics Supports LTV:CAC and payback analysis
Cohort Gross Margin Gross Margin Validates delivery economics and pricing guardrails
Churn/Completion/Renewal Rate Unit Economics Feeds LTV assumptions and long-term unit economics
Referral % of Pipeline Unit Economics Supports CAC compression and forecast durability
Cash Collection Lag Cash Runway Directly affects runway and cash forecast accuracy

Weekly Meetings (3 Total)

Meeting Your Role KPIs Reviewed Prep Time Opportunities Tracked
Executive Leadership Sync Co-Lead (financial segment) Cash/burn, revenue pacing, pipeline quality ✅⚠️🔴, conversion rates, CAC signals, runway updates 60-90 min Finance Data Spine implementation
GTM/Sales Pipeline Review
(When active selling)
Co-Lead (data quality owner) Pipeline quality status, conversion metrics, discount rates, forecast inclusion, revenue pacing 45-75 min Pipeline validation automation, stale deal alerts
Weekly Personal Planning/Forecast Review
(Solo)
Strategic reset & forecast integrity All primary KPIs, conversion trends, upcoming risks 60-90 min All 5 opportunities progress

Monthly/Biweekly Meetings (4 Total)

Meeting Your Role KPIs Reviewed Prep Time Opportunities Tracked
Finance & Bookkeeper Review
(Monthly)
Lead Revenue, margins, burn, cash, runway, variances, revenue recognition, collection lag 60-120 min Variance AI Draft, automated reconciliation
Monthly Business Review + Forecast
(Monthly)
Lead (financial owner) All primary KPIs + most secondary KPIs 2-4 hours Variance AI Draft, Slide Delegation effectiveness
Delivery/Capacity Check-in
(Biweekly/Monthly)
Contribute (financial translator) Cohort gross margin, delivery cost, capacity utilization, retention/completion 30-45 min Cohort margin dashboard automation
Vendor/Systems Check-in
(Ad-hoc during implementations)
Lead/Co-Lead Spend vs budget, ROI vs expected, time saved, data accuracy improvements 30-60 min Post-implementation ROI tracking

Quarterly & Annual Meetings (3 Total)

Meeting Your Role KPIs Reviewed Prep Time
Board/Investor Update
(Quarterly, when applicable)
Co-Author & Financial Lead All primary KPIs + selective secondary KPIs + strategic bets 4-6 hours
Ad-hoc Decision Reviews
(As needed)
Lead (financial framing owner) Decision-specific: runway, margins, unit economics, capacity constraints 30 min - 3 hours
Annual Tax & Compliance Review
(Annual)
Lead coordination Annual revenue/margin, net income, burn, payroll totals, tax liability 3-5 hours

Process Involvement & RACI

Customer Lifecycle Processes (52% Total)

Process RACI Time % Key Activities Documentation
Market to Lead Accountable 18% Instrument CRM funnel, build acquisition scorecard, connect spend to outcomes, run pacing checks, identify working channels Level 2-3
Lead to Sale Accountable 20% Define funnel stages, build sales conversion scorecard, tie pipeline to cash/runway, analyze pricing/offer effectiveness, pressure-test assumptions Level 2-3
Sale to Delivery Accountable 4% Review contract terms, confirm payment terms met, monitor lag between close→payment→delivery, ensure revenue recognition alignment Level 1-2
Delivery to Success Accountable 5% Track delivery economics/margins, monitor retention signals, conduct capacity analysis, close loop to acquisition assumptions Level 1-2
Success to Market Accountable 3% Track expansion/referral economics, quantify leverage vs acquisition, validate scalability assumptions Level 1
Success to Lead Accountable 2% Ensure referrals tracked as distinct source, analyze conversion quality, quantify financial impact Level 1

Enabling Processes (48% Core Finance Work)

Process RACI Time % Key Activities Documentation
Plan to Report Accountable 15% Build/maintain forecasts, run hiring vs runway scenarios, model pricing/ROI decisions, produce monthly KPI package, lead MBR financials, prepare board materials Level 2
Record to Report Accountable 12% Review/approve monthly close, validate revenue recognition, reconcile Stripe→QuickBooks, variance analysis, coordinate with bookkeeper/CPA Level 1-2
Procure to Pay Accountable 6% Review/approve spend (≤$2,500 authority), evaluate ROI of new vendors, monitor SaaS spend, ensure spend aligns with runway Level 1
Hire to Retire Accountable 7% Model hiring vs runway, quantify fully loaded cost/payback, review contractor agreements, coordinate payroll, manage benefits cost implications Level 1-2
Govern to Comply Accountable 5% Coordinate tax filings with CPA, review entity structure implications, review contracts for financial risk, maintain entity documentation Level 1
Idea to Launch Accountable 6% Model pricing scenarios, validate LTV:CAC pre-launch, quantify cash impact/break-even, evaluate GTM investment required, pressure-test revenue targets Level 2
Issue to Resolution Accountable 4% Resolve payment disputes, troubleshoot revenue recognition issues, reconcile system mismatches, address cash shortfall risks, quantify financial impact of breakdowns Not documented
Other (IT/Systems) Accountable 5% Manage 1Password access, provision financial tool access, review/rationalize SaaS, coordinate contract storage, maintain model version control Level 1
Note: Percentages reflect responsibility coverage with overlap, not additive weekly time. Total 112% reflects overlapping accountabilities across customer lifecycle (52%) and enabling processes (48% core finance work).

Top 5 Improvement Opportunities

Total Portfolio Impact: 6.73 hrs/week recapture (16% workload) • $33,507/year value • 4.8 month weighted payback

🏗️ Foundation Initiative

Opportunity Category Time Savings Payback KPI Impact Feasibility
FOUNDATION
Finance Data Spine Automation
Airtable → Forecast + Pipeline Validation + Runway Live Update (unified architecture)
Automate 4.5 hrs/wk
$23,400/yr
3.4 months High
Forecast Accuracy, Runway, Unit Economics, Reporting
Medium
35-40 hrs
Critical: All other opportunities depend on this foundation. Must be completed before deferred opportunities (#6-10) become viable.

⚡ Leverage Layer Opportunities

Opportunity Category Time Savings Payback KPI Impact Feasibility
LEVERAGE
#2: KPI Slide Formatting Delegation
Offshore VA handles deck assembly, you provide numbers + approval
Delegate 1.25 hrs/wk
$3,300/yr
7.3 months Medium
Reporting (indirect)
Easy
8-10 hrs
LEVERAGE
#3: Monthly Variance AI First Draft
Claude drafts variance commentary + exec summaries for refinement
AI-Assist 0.23 hrs/wk
$1,320/yr
9.1 months High
Reporting, Decision Quality
Easy
4-6 hrs
LEVERAGE
#4: Hiring Impact Calculator
Self-service template auto-links to runway, enables CEO scenario planning
Automate 0.5-1.0 hrs/wk
$3,120-6,240/yr
3-6 months High
Runway Protection
Easy
6-8 hrs
LEVERAGE
#5: Forecast Delta Analysis Automation
Weekly version comparison, change detection, assumption drift tracking
AI-Assist 0.42 hrs/wk
$2,167/yr
11.1 months High
Forecast Accuracy
Medium
12-15 hrs

Implementation Roadmap

Phase 1: Quick Wins (Weeks 1-3)

  • Week 1-2: Implement #2 (Slide Delegation) + #3 (Variance AI) → 1.48 hrs/wk immediate recapture
  • Week 3: Implement #4 (Hiring Calculator) → 0.75 hrs/wk additional recapture
  • Result: 2.23 hrs/wk recaptured in 3 weeks

Phase 2: Master Build Planning (Week 4)

  • Design Finance Data Spine architecture
  • Map data flows: Airtable → Forecast → Runway → Scorecard
  • Document integration points, validation rules, alert thresholds
  • Get CEO buy-in on quality gates and forcing functions

Phase 3: Master Build Execution (Weeks 5-10)

  • Weeks 5-7: Build Phase A (Forecast automation), Phase B (Pipeline validation), Phase C (Runway live update)
  • Weeks 8-10: Parallel testing + #5 (Forecast Delta automation built on same infrastructure)
  • Result: 4.5 hrs/wk additional recapture (6.73 hrs/wk total)

Phase 4: Deferred Opportunities (6+ Months)

  • Lead Source → CAC Attribution (wait until Pipeline Data Spine stable)
  • Contractor Payment Summary (implement during next tax season)
  • SaaS Spend Dashboard (implement if creep becomes material)

Tools & Systems

Critical Data Sources (Non-Negotiable)

Tool Purpose Access Level Priority
Airtable CRM Pipeline truth - forecast cannot be trusted without this Full edit + formula visibility Day 1 Critical
Google Drive Finance models, forecast model, runway model, board decks Full edit to finance folders Day 1 Critical
Stripe Revenue ground truth - payment timestamps and refund logic Read + export access Day 1 Critical
Venn Banking Real-time cash balances, runway cannot be calculated without this Read-only transactions + balance Day 1 Critical
Slack Escalation workflows, GTM coordination Full workspace + finance/GTM channels Day 1 Critical

Important Access (Needed Within First Week)

  • QuickBooks Online: Accountant-level access for chart of accounts, revenue recognition, close validation
  • Payroll System (Gusto): Read access for burn modeling and contractor vs employee mapping
  • Email + Calendar: Standard access + shared calendar visibility for leadership meetings
  • Prior Board Decks: Review last 3-6 months to understand decision expectations and tone

Supporting Tools

  • PandaDoc: Contracts, SOWs, pricing agreements, approvals
  • Circle: Community management, cohort enrollment, engagement insights
  • 1Password: Credential management for financial systems
  • ChatGPT/Claude: Analysis, scenario modeling, documentation, decision support
Critical Setup Note: Confirm permissions include EXPORT RIGHTS from all systems. View-only access without export blocks variance analysis, forecasting, and reconciliation. If you don't have Airtable + Stripe + Bank + Forecast model by end of Day 1, you literally cannot perform the job.

Key Stakeholders

Week 1 Critical Meetings (Must Meet in First 48 Hours)

Person Why This Relationship Matters What to Establish in First Meeting Ongoing Cadence
CEO / Founder
Hayden Miyamoto
Ultimate decision-maker; defines risk tolerance, hiring pace, spend priorities. This role exists primarily to support CEO decisions. • How CEO wants financial information framed
• What signals trigger immediate escalation
• Preferred scenario framing (base/upside/downside)
• What decisions historically surprised them financially
• Current top 3 business risks from CEO perspective
Weekly 1:1 + leadership sync
GTM / Sales Lead Controls pipeline inputs that drive the entire forecast. Without alignment here, forecasts become fiction. • Exact stage definitions and enforcement expectations
• How deals actually move vs CRM rules
• Typical deal cycle realities vs theoretical timelines
• What signals indicate deal is truly "committed"
• Current biggest pipeline bottleneck
Weekly pipeline review
Bookkeeper / Finance Ops Owns execution layer of accounting accuracy. Determines how fast and clean the monthly close happens. • Close timeline and responsibilities
• Revenue categorization logic
• Expense tagging consistency rules
• Known reconciliation pain points
• How questions/adjustments are communicated
Monthly close review + ad-hoc

Additional Key Relationships

  • Operations / Program Delivery Lead: Controls delivery cost structure, cohort sizing, facilitator utilization - direct drivers of gross margin
  • Payroll / HR Admin: Manages largest predictable burn components (payroll and contractor payments)
  • Marketing / Growth Owner: Controls acquisition spend and campaign experiments affecting CAC and pipeline volume
Critical Insight: Week 1 meetings are about mapping failure points, not introductions. Each person controls where bad data can enter the financial system: CEO (strategic assumptions), GTM (pipeline truth), Bookkeeper (accounting truth), Delivery (margin truth), Payroll (burn truth), Marketing (CAC truth).

30-Day Onboarding Checklist

Week 1: Foundation

  • âś… Understand revenue model + offers + cohort structure
  • âś… Map Airtable pipeline fields and stage logic
  • âś… Review last 3 months forecast vs actual
  • âś… Meet CEO, GTM Lead, Bookkeeper (critical relationships)

Week 2: Hands-On Learning

  • âś… Rebuild runway model themselves once (full process)
  • âś… Walk through pipeline validation process
  • âś… Review pricing + discount discipline rules
  • âś… Shadow weekly leadership sync and GTM pipeline review

Week 3: Independent Execution

  • âś… Run a full monthly forecast refresh independently
  • âś… Sit in GTM pipeline review and challenge stage assumptions
  • âś… Produce variance analysis vs. prior month
  • âś… Meet with delivery/ops to understand margin drivers

Week 4: Strategic Contribution

  • âś… Produce one executive-ready financial summary
  • âś… Run one hiring impact scenario independently
  • âś… Identify one major risk leadership isn't seeing
  • âś… Present findings/recommendations to CEO
Readiness Check: If the new person cannot complete Week 4 deliverables by Day 30, they are not yet operational. This role requires the ability to independently produce decision-ready analysis within the first month.

Common Pitfalls to Avoid

đź”´ Critical Mistakes (Will Cause Role Failure)

Don't Do This Do This Instead Why It Matters
Assume Airtable pipeline data is reliable Run pipeline hygiene validation before trusting any forecast input Forecast errors almost always start with dirty pipeline stages, not math mistakes
Optimize accounting detail before forecast reliability First ensure pipeline → revenue timing → runway logic is stable Perfect books with wrong forecast still leads to bad decisions
Report numbers without decision implications Frame: "If pacing continues, runway shortens by ~1.5 months unless conversion recovers within 30 days" Leadership doesn't need numbers—they need implications
Accept revenue timing optimism from GTM Use historical cycle time + payment lag as default. Override only with hard evidence. Timing optimism destroys runway accuracy faster than anything else
Become the company's "model builder" Push toward standardized decision templates and self-service calculators If you build models from scratch repeatedly, the role becomes a bottleneck

⚠️ Time Management Mistakes

  • Don't: Over-attend GTM discussions to "stay close" → Do: Attend only pipeline review, pricing decisions, spend approvals
  • Don't: Treat forecast as static monthly exercise → Do: Treat forecast as live operational system updated weekly
  • Don't: Wait for perfect data before acting → Do: Operate with explicit confidence levels (high/medium/directional)
  • Don't: Optimize today's report → Do: Reduce tomorrow's decision friction

⚙️ Technical Traps

  • Spreadsheet fragility: Keep modular, auditable structures vs. complex cross-sheet links
  • Category drift: Lock QuickBooks expense mapping rules early
  • Silent Stripe issues: Reconcile payment status regularly (refunds/failures don't always surface)
  • Cash timing errors: Don't assume closed deals = cash received
The Single Most Dangerous Failure Mode: If pipeline timing assumptions are wrong, everything else becomes irrelevant. Not accounting detail, not slide formatting, not minor expense tracking. The entire company runs on revenue timing realism.

Discussion Topics for Manager 1:1

1. Capacity & Priority Alignment

Current State: Operating at 105-110% capacity. Core responsibilities (reporting, runway protection, forecast integrity) are sustainable at 100%. System improvement work pushes beyond capacity.

Discussion Points:

  • Should system improvement work (automation, documentation, COA redesign) be de-prioritized temporarily?
  • Or should we protect 8-10 hrs/week for 10 weeks to implement Top 5 opportunities (6.73 hrs/week recapture)?
  • What's the company's appetite for short-term investment in long-term efficiency?

2. Finance Data Spine Authority

Current Challenge: Pipeline data quality directly determines forecast reliability. When Airtable quality is ⚠️ or 🔴, strategic decisions should be deferred until data is decision-grade.

Discussion Points:

  • Do I have authority to defer strategic decisions when pipeline quality falls below threshold?
  • Should "pipeline quality gates block strategic decisions" be formalized?
  • How do we balance GTM velocity with data discipline?

3. Implementation Timeline for Top 5 Opportunities

Proposed Roadmap: 10-week implementation (Weeks 1-3: Quick wins, Week 4: Planning, Weeks 5-10: Master build)

Discussion Points:

  • Is 10-week timeline acceptable given other priorities?
  • Should we accelerate Quick Wins (#2, #3, #4) to demonstrate ROI before committing to Master Build?
  • Any concerns about offshore VA for slide delegation or AI for variance drafting?

4. Role Boundaries & Admin Drag

Current Reality: 5% of time spent on IT/systems admin (1Password, access provisioning, SaaS review) outside core finance scope.

Discussion Points:

  • Should IT/systems admin be transitioned to operations or dedicated IT role?
  • What's the plan for scaling finance operations as company grows?
  • At what growth stage should we add dedicated FP&A or finance ops support?

5. Strategic Direction Volatility

Current Challenge: "Frequent changes in strategic direction creates rework in forecasts, priorities, and systems; limits ability to compound progress."

Discussion Points:

  • How can we reduce forecast churn from strategic pivots?
  • Should major strategic changes trigger explicit "forecast reset" acknowledgment?
  • What guardrails exist around strategic experimentation vs. committed plans?

Success Metrics for Next 90 Days

Primary Goals (Must Achieve)

Goal Target Measurement
Forecast Accuracy ±5-10% variance monthly 3 consecutive months within target
Runway Visibility ≥12-18 months maintained No runway surprises; weekly tracking discipline
Pipeline Data Quality Airtable ≥8/10 quality 4 consecutive weeks ✅ Clean status
Reporting Timeliness 100% on-time close 3 consecutive months within 5-7 days

Stretch Goals (High Impact if Achieved)

  • Implement Quick Win Opportunities: #2 (Slide Delegation), #3 (Variance AI), #4 (Hiring Calculator) operational within 3 weeks → 2.23 hrs/week recaptured
  • Document Pipeline Data Refresh: Level 3 Guide operationalized with weekly non-optional loop (already documented, needs enforcement)
  • Establish Behavioral Authority: At least 1 strategic decision explicitly deferred due to pipeline ⚠️/đź”´ status (proving forcing function works)
  • Unit Economics Dashboard: Automated LTV:CAC + payback tracking by cohort/channel (enables faster optimization decisions)

Resources & Support Needed

Immediate Needs (Next 30 Days)

  • CEO Alignment: 1-hour planning session to align on Top 5 implementation timeline and authority to enforce pipeline quality gates
  • GTM Collaboration: Weekly pipeline review cadence locked in with clear stage definition enforcement expectations
  • Budget Approval: ~$800-1,000/month for automation tools (Zapier/Make ~$50, offshore VA ~$700, Claude API ~$50)

Medium-Term Needs (Next 90 Days)

  • Protected Implementation Time: 8-10 hrs/week for 10 weeks to build Finance Data Spine (blocks other strategic work temporarily)
  • Bookkeeper Collaboration: Monthly close process documentation and quality gate formalization
  • External Support (if needed): CPA for tax planning ($0 incremental if using existing), automation consultant for complex integrations ($2,000-3,000 one-time if needed)

What Would Accelerate Success

  • CEO commitment to "no strategic decisions when pipeline is ⚠️/đź”´" forcing function
  • GTM lead ownership of Airtable hygiene with weekly accountability
  • Reduced strategic direction volatility (fewer forecast rebuilds from pivots)
  • Clear 12-month finance roadmap (when to add FP&A support, when to upgrade systems)

Complete Clarityboard - Printable Version

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Role Foundation

Name: Vipul Patel

Title: Head of Finance (Contractor)

Reports to: Hayden Miyamoto, Founder & CEO

Direct Reports: None

Department: Finance

Key Outcomes (Hierarchical)

  1. Forecast Integrity: Maintain decision-grade financial visibility (±5-10% forecast accuracy, real-time runway/burn/margin)
  2. Runway Protection: Maintain ≥12-18 months runway; all spend meets thresholds
  3. Pipeline Data Reliability: Airtable ≥8/10 quality, weekly forecasting without rebuilds
  4. Unit Economics Discipline: LTV:CAC ≥3x, payback ≤6-9 months
  5. Decision Framing: Provide decision-grade analysis for all major growth bets

Process Involvement Summary

Customer Lifecycle (52% total):

  • Market to Lead: 18% - Accountable for acquisition economics
  • Lead to Sale: 20% - Accountable for conversion efficiency
  • Sale to Delivery: 4% - Accountable for contract terms
  • Delivery to Success: 5% - Accountable for delivery economics
  • Success to Market: 3% - Accountable for expansion economics
  • Success to Lead: 2% - Accountable for referral economics

Enabling Processes (48% core finance):

  • Plan to Report: 15% - Accountable for forecast accuracy
  • Record to Report: 12% - Accountable for financial statement integrity
  • Hire to Retire: 7% - Accountable for hiring financial impact
  • Procure to Pay: 6% - Accountable for spend discipline
  • Idea to Launch: 6% - Accountable for pricing viability
  • Govern to Comply: 5% - Accountable for financial compliance
  • Other/IT: 5% - Accountable for financial systems
  • Issue to Resolution: 4% - Accountable for financial impact assessment

Note: Total 112% reflects responsibility coverage with overlap, not additive time.

Primary KPIs

  1. Cash Runway & Burn Multiple: Target ≥12-18mo runway, ≤1.5x burn | Review: Weekly+Monthly
  2. Forecast Accuracy: Target ±5-10% variance | Review: Monthly
  3. Gross/Contribution Margin: Target ≥70% gross margin | Review: Monthly
  4. Unit Economics: Target LTV:CAC ≥3x, Payback ≤6-9mo | Review: Monthly
  5. Reporting Timeliness: Target close within 5-7 days, 100% on-time | Review: Monthly

Secondary KPIs (Supporting Metrics)

Pipeline Quality Score, Lead→Call Conversion, Show Rate, Close Rate, Revenue/Call, Sales Cycle Length, Discount Rate, CAC by Channel, Cohort Gross Margin, Churn/Retention, Referral %, Cash Collection Lag

Top 5 Opportunities

Foundation Initiative

#1: Finance Data Spine Automation (Automate)
4.5 hrs/wk savings • $23,400/yr value • 3.4mo payback • High KPI impact
Unified: Airtable → Forecast + Pipeline Validation + Runway Live Update

Leverage Layer

#2: KPI Slide Formatting Delegation (Delegate)
1.25 hrs/wk savings • $3,300/yr value • 7.3mo payback • Medium KPI impact

#3: Monthly Variance AI First Draft (AI-Assist)
0.23 hrs/wk savings • $1,320/yr value • 9.1mo payback • High KPI impact

#4: Hiring Impact Calculator (Automate)
0.75 hrs/wk savings • $4,680/yr value • 4.5mo payback • High KPI impact

#5: Forecast Delta Analysis Automation (AI-Assist)
0.42 hrs/wk savings • $2,167/yr value • 11.1mo payback • High KPI impact

Total Portfolio: 6.73 hrs/wk (16% workload) • $33,507/yr value • 4.8mo weighted payback

Critical Tools & Access

Day 1 Critical Access

  • Airtable CRM: Full edit + formula visibility (pipeline truth)
  • Google Drive: Full edit to finance folders (forecast/runway models)
  • Stripe: Read + export access (revenue ground truth)
  • Venn Banking: Read-only transactions + balance (runway calculation)
  • Slack: Full workspace + finance/GTM channels (escalation workflows)

Week 1 Access

  • QuickBooks Online (accountant-level)
  • Payroll System (read access)
  • Prior Board Decks (last 3-6 months)

30-Day Onboarding

Week 1: Understand revenue model, map Airtable logic, review forecast accuracy, meet CEO/GTM/Bookkeeper

Week 2: Rebuild runway model independently, walk pipeline validation, review pricing rules

Week 3: Run forecast refresh independently, challenge GTM assumptions, produce variance analysis

Week 4: Produce executive-ready summary, run hiring scenario, identify hidden risk, present to CEO

Critical Mental Model

"This role is financial decision infrastructure for a volatile growth company, not finance reporting. The job is managing uncertainty, not managing spreadsheets."

Top Pitfalls to Avoid

  • Treating CRM data as reliable without validation
  • Optimizing accounting detail before forecast reliability
  • Reporting numbers without decision implications
  • Accepting revenue timing optimism from GTM
  • Becoming the bottleneck "model builder" instead of enabling self-service