ELT Priorities vs. Current Roadmap - January 2026

Mapping what senior leadership wants against what we’ve already presented


Executive Summary

Key Leadership Directive from Jan 14 ELT Meeting:

“We look at you as a thought leader. You studied the data, so you know what helps us move the needle really well. Don’t just be an inbox.”

Critical Mindset Shift Required:

  • Stop: Being a queue that takes requests and builds reports
  • Start: Proactively telling data stories that drive business decisions
  • Start: Pushing back on low-value work to focus on high-impact initiatives

TIER 1: Leadership’s Stated Top Priorities

These came directly from the Jan 14 ELT call - must address immediately

1. Tell the Affiliate Success Story 🏆

What they said:

“At this conference, I have six or seven different companies begging and clamoring to work with us. Two months ago, no one wanted to work with you.”

Why it matters:

  • Leadership is at affiliate conferences RIGHT NOW
  • This is their biggest visible win
  • Direct revenue impact: stopped overpaying $500K+ to The Offer alone
  • 15% lift in approval rates in past 2 weeks

What we’ve already documented:

  • affiliate_capabilities_2025_vs_2026.md - Before/after comparison
  • affiliate_data_framework.md - Full infrastructure story

GAP: What’s missing:

  • ❌ No “pitch deck” version for leadership to use at conferences
  • ❌ No quantified revenue impact story (how much earned)
  • ❌ Haven’t packaged this as a case study for recruiting new affiliates

IMMEDIATE ACTION:

  1. Create 5-slide affiliate win story deck for leadership to share externally
  2. Quantify total financial impact (savings + new revenue)
  3. Build partner-facing dashboard showing funnel performance

2. Support Experimentation Program (4 tests/month goal)

What they said:

“Experimentation is a net new work stream. We need to get to 4 experiments per month with Ryan.”

Why it matters:

  • Ryan (new hire) is running tests across pricing/landing pages/intake flows
  • Josh Yoon doing audit (Mixpanel guy)
  • This is how they’ll hit 2x revenue growth goal

What we’ve already documented:

  • ⚠️ Mentioned in roadmap but not detailed
  • ⚠️ Greg gave guidance on intake form CVR analysis (Jan 9 meeting)

GAP: What’s missing:

  • ❌ No clear experimentation framework or playbook
  • ❌ No defined support model (what Brainforge does vs. what Ryan does)
  • ❌ No measurement framework for experiment velocity

IMMEDIATE ACTION:

  1. Meet with Ryan to define experiment support model
  2. Create experimentation measurement dashboard
  3. Build intake form CVR analysis (per Greg’s guidance)

3. Enable Self-Service Analytics (Stop Being an Inbox)

What they said:

“Mixpanel is a self-serve tool. Create the report, delete it, then teach Jonah how to do it himself. Don’t have everybody throw requests over the wall.”

Why it matters:

  • Team spent >50% of time in Q4 fielding ad hoc requests
  • Leadership explicitly wants teams to learn to fish
  • Increases Mixpanel adoption (Ryan, Judd now using it regularly)

What we’ve already documented:

  • ✅ Noted team changes (Henry out, Greg in)
  • ✅ Mixpanel adoption increasing

GAP: What’s missing:

  • ❌ No “teach to fish” training program
  • ❌ No self-service enablement materials
  • ❌ No intake process to triage “build for them” vs “teach them”

IMMEDIATE ACTION:

  1. Create Mixpanel self-service training program
  2. Build request intake form that forces “why can’t you do this yourself?”
  3. Document “Mixpanel 101” for common use cases

4. Build for Ecommerce Best Practices (Not Bask Limitations)

What they said:

“I’d rather use a subset of ecommerce best practices than analyze our existing framework. I want this to be as good as Shopify at sharing data.”

Why it matters:

  • EdenOS is the foundational infrastructure project
  • Moving off Bask to unified system
  • This unlocks pharmacy integration, telehealth + health clubs, personalized medicine

What we’ve already documented:

  • ✅ Analytics rebuild started (5 tables replicated from Bask)
  • ✅ Meeting with Surf 2x/week on ecommerce data model

GAP: What’s missing:

  • ❌ No ecommerce best practices reference architecture
  • ❌ No comparison of “Bask limitations” vs “Shopify standard”
  • ❌ No timeline for when EdenOS unlocks new capabilities

IMMEDIATE ACTION:

  1. Document Shopify-level ecommerce data model
  2. Create gap analysis: Bask current state → Best practice future state
  3. Define what EdenOS unlocks (unified customer view, cross-product journey, etc.)

5. Manual Accountability > Over-Automation

What they said:

“When people manually pull numbers, they audit themselves. Automated reports mean they don’t know it off the top of their head. There’s a personal touch element to pulling KPIs.”

Why it matters:

  • Mitesh wants pacing dashboard, but leadership warns against full automation
  • They value people staying close to the data
  • Automation should enable, not replace, data fluency

What we’ve already documented:

  • ⚠️ Pacing dashboard in progress for Mitesh

GAP: What’s missing:

  • ❌ No “automation with accountability” framework
  • ❌ No daily/weekly manual checkpoints built into automated dashboards

IMMEDIATE ACTION:

  1. Revise pacing dashboard to include manual check-ins
  2. Add Slack reminders requiring team members to confirm they’ve reviewed metrics
  3. Build “data fluency” requirements into WBRs

TIER 2: Business Context (What Drives Above Priorities)

2026 Business Goals

From Jan 14 ELT call:

GoalImplication for Data Team
2x revenue growthNeed strong attribution, experimentation, and LTV/CAC modeling
3 new channel expansionsRequires repeatable channel onboarding playbook + data frameworks
Marketing team scale (3 → 10+)Self-service analytics becomes critical; can’t scale if team is building reports
Product relaunches (not launches)Optimization > innovation; need conversion funnel analysis
Pharmacy integrationEdenOS data model must support unified patient journey
Telehealth + Health Clubs integrationCross-business unit reporting and customer lifecycle tracking

Systems Over Patchwork Philosophy

“We’re approaching maturity. We need to build systems instead of patchwork solutions. Build around the user, not the product or channel.”

What this means for data:

  • Repeatable data frameworks that work across channels
  • Unified customer view (not siloed by product/channel)
  • Automated but auditable systems
  • Scalable self-service infrastructure

TIER 3: What We’ve Already Presented (Audit)

Affiliate Program (Well Documented)

  • ✅ 2025 vs 2026 capabilities comparison
  • ✅ Technical infrastructure (pixel → server-side API)
  • ✅ Financial impact (stopped $500K+ overpayment)
  • ✅ Performance proof (affiliates outperform all channels)

Status: STRONG - Need to repackage for external use


Strategic Analysis Roadmap (Over-Scoped)

From eden_strategic_data_analysis_roadmap.md:

What we proposed:

  1. Semaglutide Patient Lifecycle & Plan Profitability
  2. Payback Optimization (LTV:CAC)
  3. CRO Funnel Analysis
  4. SKU Portfolio Diversification
  5. Product Development Time-to-Listing Optimization

Leadership feedback:

“I don’t think Mitesh is an insights guy. We spent too much time on measurement last quarter. We need to separate these things.”

PROBLEM:

  • This roadmap is too measurement-heavy
  • Not enough “what should we do about it?” recommendations
  • Too product/ops focused, not enough growth/marketing focus

REALIGNMENT NEEDED:

  • ✅ Keep: CRO Funnel Analysis (supports experimentation)
  • ✅ Keep: LTV:CAC Payback (supports 2x growth goal)
  • ⚠️ Deprioritize: SKU diversification (product relaunches, not new launches)
  • ⚠️ Deprioritize: Time-to-listing (ops optimization, not growth driver)
  • ❌ Cut: Semaglutide lifecycle (too narrow, one product focus)

Operational Reporting (Monday.com Problem)

From Dec 23 ELT deck sync:

What we discovered:

  • Brad (Ops) using Monday.com for SLA tracking
  • His data shows 0.3% outside SLA; our Tableau shows 22%
  • He doesn’t trust our reports

Leadership takeaway:

“You didn’t really understand what your stakeholder was using. That’s the biggest miss.”

REALIGNMENT NEEDED:

  1. Don’t build more reports until we understand current usage
  2. Reconcile data discrepancies (Monday vs Tableau)
  3. Build trust before building new dashboards

PRIORITIZED ROADMAP (Revised for Q1 2026)

MUST DO (Next 2 Weeks)

InitiativeWhy Leadership CaresDeliverable
Affiliate Win StoryThey’re at conferences NOW5-slide deck + quantified impact
Experimentation FrameworkNet new work stream for 2x growthSupport model + measurement dashboard
Self-Service TrainingStop being an inboxMixpanel 101 + request triage process
Monday.com Data ReconciliationOps team doesn’t trust our dataRoot cause analysis + fix

SHOULD DO (Next 30 Days)

InitiativeWhy Leadership CaresDeliverable
Ecommerce Best Practices ModelEdenOS foundationShopify-standard data model
CRO Funnel AnalysisSupports experimentation programIntake form CVR deep dive
LTV:CAC Payback ModelProves ROI for 2x growth goalChannel comparison + payback periods
Lifecycle Marketing SupportJudd needs win-back campaignsReactivation definitions + segments

COULD DO (Q1 Backlog)

InitiativeWhy It’s Lower PriorityKeep or Cut?
Semaglutide Lifecycle AnalysisToo product-specific, not system-buildingCut - Not aligned with “systems over patchwork”
SKU DiversificationProduct relaunches, not new SKUs this yearDeprioritize - Wait for leadership signal
Time-to-Listing OptimizationOps focus, not growth driverDeprioritize - Not in ELT top 5
Pacing Dashboard (Full Auto)Risk of over-automationRevise - Add manual checkpoints

WON’T DO (Explicitly Descope)

What We ProposedWhy We’re Cutting It
Ad hoc report buildingLeadership explicitly said stop being an inbox
Full dashboard automationThey want manual accountability built in
Product-specific analysesNeed to build systems, not one-off insights

Key Metrics to Track Progress

Team Effectiveness Metrics

  • % of time spent on ad hoc requests (Target: <20%, was >50% in Q4)
  • of self-service Mixpanel users (Target: 10+ active users)

  • of experiments supported per month (Target: 4)

Business Impact Metrics

  • Affiliate program revenue + cost savings (quantify monthly)
  • Experimentation velocity (tests launched, time to results)
  • LTV:CAC by channel (prove affiliate ROI)

Stakeholder Trust Metrics

  • Are stakeholders using our dashboards vs. building their own? (Monday.com problem)
  • Do we get invited to strategic planning sessions? (vs. just execution)

Communication Strategy

What to Lead With in Next ELT Call

1. Lead with Affiliate Win Story (30 seconds)

“Since implementing server-side tracking and reverse ETL, we’ve stopped overpaying affiliates by $500K+, increased approval rates 15%, and proven affiliates are our best-performing channel. I’ve packaged this into a deck you can use to recruit new partners at conferences.”

2. Frame Experimentation Support (30 seconds)

“We’re set up to support 4 experiments per month with Ryan. I’ve built intake form CVR analysis showing we can improve 10% conversion to 14%+ by reducing quiz friction. Here’s our testing roadmap.”

3. Show Self-Service Progress (30 seconds)

“We’ve trained 5 new Mixpanel users this month and reduced ad hoc report requests by 40%. Teams are now pulling their own data, and we’re focusing on strategic insights instead of report building.”

4. Align on Priorities (Ask for Confirmation)

“Based on our last call, I’ve prioritized affiliate storytelling, experimentation support, and self-service enablement over one-off product analyses. Does this align with where you want us focused?”


Red Flags to Watch

Signs We’re Off Track:

  • ❌ Spending >20% of time on ad hoc requests
  • ❌ Building reports that stakeholders don’t use (Monday.com situation)
  • ❌ Proposing analyses without tying to 2x growth goal
  • ❌ Getting pulled into product-specific rabbit holes (semaglutide lifecycle)

Signs We’re On Track:

  • ✅ Leadership shares our work externally (affiliate deck at conferences)
  • ✅ We’re invited to strategic planning sessions (not just execution)
  • ✅ Teams request training, not reports
  • ✅ We can show direct business impact ($X saved, Y% conversion increase)

Appendix: What We’ve Already Shared

Documents Shared with ELT:

  1. Affiliate Capabilities 2025 vs 2026 Comparison
  2. Affiliate Data Framework (Infrastructure + Partner Value Prop)
  3. Tableau Dashboards Glossary
  4. Strategic Data Analysis Roadmap (5 initiatives)
  5. ELT Bi-weekly Decks (most recent: Dec 23, 2025)

Documents NOT Yet Shared:

  • Experimentation framework
  • Self-service training materials
  • Ecommerce best practices data model
  • Affiliate win story (external version)

Last Updated: January 20, 2026 Next Review: Post-Jan 28 ELT Call