Building RevOps from Zero: A 90-Day Foundation
How a seed-stage startup built scalable revenue operations before it was too late
Company
B2B SaaS
Size
25 employees, $2M ARR
Stage
Seed (just raised Series A)
Timeline
90-day implementation before first AE started
The Challenge
The founders had been running sales themselves. With Series A funding and plans to hire 5 AEs, they needed to build RevOps infrastructure before scaling created chaos.
Symptoms
- CRM was a mess - duplicate records, missing fields, no process
- No defined sales stages or exit criteria
- Forecasting was founder gut feel
- Marketing had no visibility into what happened to their leads
- No reporting beyond a monthly ARR spreadsheet
Root Causes
- No dedicated operations hire - founders wore all hats
- Growth happened faster than process could keep up
- Tech stack was cobbled together with no integration strategy
- No documented processes - everything was tribal knowledge
- Data was entered inconsistently with no validation
Impact
Without intervention, the company would hire 5 reps into chaos. Ramp time would suffer, data would become unusable, and they'd waste 6 months cleaning up before they could scale.
The Diagnosis
Rather than audit what existed (very little), the focus was on designing the foundation that would scale from 5 to 50 reps.
Key Findings
- 1.CRM had 3 different ways leads were entered with no standardization
- 2.40% of closed-won deals had no associated lead source
- 3.Sales cycle length was unknown - stage dates weren't captured
- 4.No lead scoring or routing - founders manually assigned
- 5.Marketing and Sales used different definitions of pipeline stages
Maturity Score Changes
The Solution
Strategy: Build the minimum viable RevOps stack that will scale. Don't over-engineer, but don't take shortcuts that create tech debt.
Phase 1: Data Foundation
Weeks 1-3- Cleaned CRM - deduplicated, standardized fields, archived junk
- Defined required fields with validation rules
- Created lead, contact, account, and opportunity data model
- Implemented lead source tracking with UTM parameters
- Set up data enrichment on inbound leads
Phase 2: Process Definition
Weeks 4-6- Defined 6 sales stages with clear exit criteria
- Created lead lifecycle stages (Raw → MQL → SAL → SQL → Opportunity)
- Built lead routing rules based on territory and segment
- Documented handoff process from SDR to AE
- Established SLAs for lead response time
Phase 3: Reporting Foundation
Weeks 7-9- Built pipeline dashboard with stage-by-stage visibility
- Created lead source attribution report
- Implemented sales activity tracking
- Built forecast model based on weighted pipeline
- Set up weekly metrics review cadence
Phase 4: Scale Preparation
Weeks 10-12- Documented all processes in internal wiki
- Created onboarding checklist for new reps
- Built territory model for incoming hires
- Set up quota and capacity planning model
- Established QBR and forecast cadence
The Results
CRM Data Quality
Trusted data
Lead Response Time
SLA met
Attribution Coverage
Marketing visibility
New Rep Ramp
Predictable
Qualitative Outcomes
- New AEs ramped faster with clear process and documentation
- Marketing finally had visibility into lead outcomes
- Founders could step back from day-to-day sales operations
- Board received consistent, trustworthy metrics
Key Lessons
- 1It's cheaper to build right than to rebuild later
- 2Start with data quality - everything else depends on it
- 3Process documentation is as important as process design
- 4Build for 10x your current scale, not your current state
- 5The best time to hire RevOps is before you think you need it