90-Day Progress Evaluation — vs. Startup Best Practices
95
days into 90-day plan
March 7, 2026
C-
Composite Grade
A-level strategy. F-level commercial execution.
You've built strategic and operational infrastructure that would impress a Series A board —
positioning locked, sprint playbook documented, compliance addressed, CRM designed.
But every success milestone reads zero: zero sprints sold, zero completed,
zero precedent objects, zero revenue, zero discovery calls. The foundation is real.
The revenue engine hasn't started. Weighted toward what matters most at this stage
(customer contact and revenue), the assessment skews hard negative.
Key Metrics — Target vs. Actual
Sprints Sold
0
Target: 3 | Min: 2
Discovery Calls
0
Target: 20 | Min: 10
Precedent Objects
0
Target: 40 | Min: 20
Revenue
$0
Target: $50-75K
Blocked Tasks
33
Target: ≤10 | 330% over
Completion Velocity
37%
58 done / 155 total
Success Milestones — Target vs. Actual
Task Status Breakdown
90-Day Checkpoint Timeline
Day 7
Foundation Ready
DONE (late)
Day 14
Outreach + ARPA-H Baseline
MISSED
Day 21
Qualified Pipeline
DONE (late)
Day 30
First Sprint Sold ★
MISSED
Day 44
Sprint 1 Baseline Done
BLOCKED
Day 60
Sprint 2 & 3 Sold
NOT STARTED
Day 74
20-30 Appeals Generated
NOT STARTED
Day 88
Sprint 1 Completed
NOT STARTED
Day 90
Case Study + Sprint 2 Kickoff
NOT STARTED
What You DID Build (Foundation Layer)
🎯
Strategic Clarity
Wedge definition, ICP, positioning locked
One villain, one metric (time-to-packet)
BH medical necessity cluster decided
"Not general RCM automation" positioning
🔧
GTM Infrastructure
Ideal Customer Profiles built
Folk CRM + 4-stage Zapier automation
SILy: Leads DB, Facilities DB, POIL Briefs
Competitive landscape reviewed
📦
Product & Delivery
Sprint playbook documented
Sprint Model Operating Framework
Precedent Object schema decided
BAA/SLA v1 for privacy completed
⚙️
Operations System
155+ task Operations Tracker
18-metric KPI Tracker
Risk Register + Drift Risks
ARPA-H Solution Summary V4
Graded Against Startup Best Practices
"Do Things That Don't Scale"
D
Airbnb went door-to-door. Stripe installed on founders' laptops. The pattern: manual delivery for real customers before building systems. Stratum built CRM automation, risk registers, and governance protocols — all before a single customer used the product. The inverse of the pattern that works.
Benchmark: 3-5 manual denial analyses for real providers by Day 30
Time-to-First-Revenue
F
Services-led B2B models typically reach first revenue in 30-90 days with warm leads. Even healthcare enterprise deals (6-12 months) expect active pipeline by Day 90. Zero proposals sent, zero conversations completed at Day 95.
Healthcare benchmark: 60-90 days for $10-50K deals from first conversation
Founder Time Allocation
C
First Round Capital: successful founders spend 40-50% on customer-facing activities. The plan allocated 50% of Patrick's time to sales — which was right. But actual output was 70-80% infrastructure, 20-30% external. The plan was correct; execution drifted.
Benchmark: 40-50% of founder time customer-facing (First Round Capital)
Infrastructure Before Traction
D
Top-5 bootstrapped startup mistake. "Confusing activity with progress." Your Notion workspace would suit a 20-person Series A company. For a 2-person pre-revenue startup, it's 10x what the stage requires. What was needed: a spreadsheet, a 1-page proposal, 5 sample precedent objects, and a phone.
42% of startups fail because they build products nobody wants
Healthcare Market Positioning
INC
The "precedent-based institutional memory" positioning is differentiated. Market is $136.5B growing at 11.4% CAGR. But differentiation only matters if prospects experience it. Every month without customer contact is a month the positioning is untested.
Market window: 12-18 months before RCM vendors retrofit explainability
ARPA-H Dependency
C-
Best practice: never gate your commercial timeline on a single grant. ARPA-H was designed as "Sprint 0" — first partner, first data, first proof. Partner still being secured at Day 95, bottlenecking the entire product/data pipeline.
Benchmark: grants as accelerants, not prerequisites
Operational Complexity vs. Stage
D
A typical 2-person pre-revenue startup has: a Trello board, a spreadsheet with leads, a Google Doc pitch, and a weekly 30-min sync. Stratum has: 155-task tracker, 18-metric KPIs, risk registers, governance protocols, SG compliance checking, and 4-stage Zapier automations.
YC: "Build something people want." Corollary: don't build what no one asked for yet
Blocking Chain Resolution
D
33 blocked tasks at 330% of target, unchanged for 30+ days. Lean/Agile: blocked work is the most expensive form of waste. A 2-person team should have 3-5 items in progress max. Persistent blockers need descoping or workarounds, not patience.
Toyota Production System: eliminate blockers as #1 priority
The Two Bright Spots
Strategic Clarity & Positioning
A-
Phase 0 wedge lock is genuinely strong. One villain, one metric, one cluster, one payer strategy. Most startups at Day 90 are still flailing between 3-4 positioning options. You have laser focus on BH medical necessity denial management with precedent-based institutional memory.
This is the foundation that makes everything else possible — once you start selling
Playbook & Methodology Design
B+
Sprint model is well-thought-out on paper. Precedent object schema, operational drift risks, templatization checklist, execution discipline metrics — the intellectual framework for scaling is solid. It just needs customer contact to validate.
Untested playbooks degrade fast — validate with 1 real sprint before refining
Best Practice Grades Radar
Where Time Went vs. Where It Should Have
Why the Gap Exists
The core issue: You built the operating system before making the first sale.
The Notion workspace, tracking systems, compliance frameworks, and CRM automation represent
60%+ of your capacity spent on things that don't directly produce a signed SOW. For a 2-person
team with 90 hours/week, this was the single biggest allocation choice.
01
Infrastructure-Before-Revenue Sequencing
You prioritized being ready over being in-market. CRM automation, risk registers,
governance protocols, multi-database operations frameworks — all built before a single customer
interaction. The canonical startup advice is unanimous: manual delivery for real customers first,
then systematize what works. Every hour of the first 90 days spent on Notion infrastructure was
an hour not spent on the phone with a billing director.
02
Blocking Chain Cascade
33 blocked tasks at 330% of target created a waterfall of dependency failures. Many commercial tasks
(selling sprints, creating precedent objects, sending proposals) are blocked by upstream items
that are themselves blocked. The chain compounds — it's not 33 independent problems, it's likely
5-7 root blockers creating 25+ downstream effects. The Feb 10 brief noted "no change" in blocking
count, meaning these structural blockers have persisted for over a month without resolution.
03
ARPA-H Dependency as Bottleneck
The plan assumed ARPA-H would function as "Sprint 0" — providing the first customer, first denials,
first precedent objects, and first case study. With the partner still being secured and the Solution
Summary going through V2→V3→V4 iterations, this anchor customer hasn't materialized. The entire
data/product side of the business depends on something that hasn't shipped.
Best practice: grants as accelerants, not prerequisites.
Actual vs. Ideal 90-Day Execution
Blocking Impact Analysis
What "Good" Would Have Looked Like
Month 1 (Days 1-30)
10 discovery calls from warm network. 3 manual denial analyses done for free. 5 precedent objects by hand.
1 sprint proposal sent. ICP defined ✓. Playbook v0.1 as a 2-page Google Doc.
Month 2 (Days 31-60)
First sprint sold ($15-25K lite). 5 more discovery calls. 15 precedent objects. ARPA-H in parallel.
Begin basic CRM tracking. Sprint delivery underway.
Month 3 (Days 61-90)
Sprint 1 complete. 20+ precedent objects. 2-3 more proposals in pipeline.
First case study from Sprint 1. Playbook refined from real experience. NOW build ops infrastructure.
The Honest Question
Are the next 30 days going to look fundamentally different from the last 90?
If "we're now finally ready to sell" — that's defensible. But only if 80%+ of Patrick's time
shifts to outbound sales and discovery calls starting Monday. Everything else becomes secondary.
Recommended 30-Day Reset
Week 1-2 — NOW (before anything else)
Patrick makes 5 discovery calls from warm network. Phone calls to people you know.
Create 3-5 synthetic precedent objects manually. No schema perfection needed.
Send 1 sprint proposal to the most receptive discovery call contact.
Week 3-4 — Close or advance
Close or advance first proposal to signed SOW.
Secure ARPA-H partner formally (60+ days "in progress").
Begin collecting denials from first partner/customer.
Create 10 precedent objects from whatever data you can access.
The Litmus Test: If you can't get 5 warm-path discovery
calls completed in 14 days, the constraint isn't infrastructure — it's market fit or network access.
That's a fundamentally different problem to solve. But you won't know which problem you have until you try.
What's NOT Wasted
Nothing you've built is wrong — it's premature. The positioning is strong. The sprint model is well-designed.
The operational infrastructure will serve you well once customers arrive. When you close Sprint 1,
you'll onboard them into a system that's far more professional than most startups at your stage.
The question is whether they arrive before the ~3-month runway runs out. Your own plan said it best:
"Without a paying customer, everything else is theory."