Next 2 Weeks: Tactical Action Plan

Concrete steps to align with ELT priorities from Jan 14 meeting


Week 1 (Jan 20-24): Foundation Setting

Monday, Jan 20

Theme: Audit & Align

Morning (2 hours):

  • Review all ELT meeting notes from Q4 2025 → Jan 2026
  • List every commitment made to leadership (check against delivery)
  • Identify gaps between “what we said we’d do” vs “what we did”

Afternoon (3 hours):

  • Schedule 1:1s with key stakeholders for Week 2:
    • Ryan (experimentation program lead)
    • Mitesh (marketing GM)
    • Judd (lifecycle marketing)
    • Brad (ops - Monday.com reconciliation)
  • Draft stakeholder discovery questions (see templates below)

End of Day:

  • Share updated priority doc with team (the one I just created)
  • Get team buy-in on “stop being an inbox” mindset shift

Tuesday, Jan 21

Theme: Affiliate Win Story

Morning (3 hours):

  • Pull all affiliate performance data from Catalyst:
    • Total revenue attributed to affiliates (Dec 2024 vs Dec 2025)
    • Commission growth MoM (Nov → Dec → Jan)
    • Approval rate improvements (before/after server-side tracking)
    • Cost savings from stopping overpayments
  • Calculate ROI story:
    • Investment: Cost of building reverse ETL + server-side tracking
    • Return: $500K+ saved on overpayments + X% revenue increase

Afternoon (3 hours):

  • Create 5-slide “Affiliate Win Story” deck:
    • Slide 1: The Problem (2 months ago, no one wanted to work with us)
    • Slide 2: What We Built (technical capabilities upgrade)
    • Slide 3: Business Impact ($ saved, % approval rate increase)
    • Slide 4: Channel Performance (affiliates vs. CPC, email, influencers)
    • Slide 5: What This Unlocks (recruiting new partners, scaling program)

End of Day:

  • Share draft with Zoran for review (he’s closest to affiliate work)
  • Send to leadership for Jan 28 ELT call

Wednesday, Jan 22

Theme: Experimentation Framework

Morning (2 hours):

  • Meet with Ryan (if scheduled):
    • What experiments is he planning for Q1?
    • What data/analysis support does he need from Brainforge?
    • How does he want to measure experiment success?
    • What’s blocking him from hitting 4 tests/month?

Afternoon (4 hours):

  • Build Intake Form CVR Analysis (per Greg’s guidance from Jan 9):
    • Pull Mixpanel data: intake_started → order_completed by form URL
    • Calculate CVR by product (GLP-1, hair loss, etc.)
    • Identify outliers (why is hair loss 22% vs GLP-1 10%?)
    • Analyze drop-off points (which questions cause abandonment?)
  • Create “true median CVR” benchmark (excluding outliers)
  • Draft 3 experiment hypotheses to test:
    • Shorten quiz length for low-performing forms
    • Add progress indicators
    • Test pricing visibility (during quiz vs. post-quiz)

End of Day:

  • Share intake form analysis with Ryan
  • Get his feedback on experiment priorities

Thursday, Jan 23

Theme: Self-Service Enablement

Morning (3 hours):

  • Create “Mixpanel 101” training doc:
    • How to filter by cohort (e.g., “1,000 customers to track”)
    • How to build simple funnels
    • How to create saved reports
    • When to ask Brainforge for help vs. do it yourself
  • Build request intake form (Google Form or Typeform):
    • What are you trying to answer?
    • Have you tried building this in Mixpanel yourself? If not, why not?
    • What business decision depends on this answer?
    • Timeline: When do you need this by?

Afternoon (2 hours):

  • Schedule training sessions for Week 2:
    • Jonah (ops reporting)
    • Ryan (experiment measurement)
    • Judd (lifecycle segments)
  • Record Loom videos for common Mixpanel tasks:
    • Creating a funnel
    • Building a cohort
    • Exporting data

End of Day:

  • Share training materials in Slack
  • Announce new request intake process (effective Monday, Jan 27)

Friday, Jan 24

Theme: Monday.com Data Reconciliation

Morning (3 hours):

  • Meet with Brad:
    • Where does his Monday.com SLA data come from?
    • Why does he trust it over Tableau?
    • What’s the definition of “outside SLA” in his view vs. ours?
  • Pull Tableau SLA data for same time period
  • Compare side-by-side:
    • Same date range?
    • Same definition of “SLA breach”?
    • Same source data (Bask)?

Afternoon (2 hours):

  • Root cause analysis:
    • Is our Tableau data wrong?
    • Is his Monday.com data wrong?
    • Are we measuring different things?
  • Document findings + resolution plan
  • If our data is wrong: Fix it
  • If his data is wrong: Show him why
  • If we’re measuring different things: Align on definitions

End of Day:

  • Share reconciliation findings with Brad + leadership
  • Commit to single source of truth going forward

Week 2 (Jan 27-31): Execution & Delivery

Monday, Jan 27

Theme: Stakeholder Discovery

1:1 with Mitesh (Marketing GM):

  • What are your top 3 goals for Q1?
  • What data/insights would help you hit those goals?
  • What reports are you using regularly? What are you ignoring?
  • Pacing dashboard: Do you want full automation or manual check-ins?
  • How can we help you run better WBRs?

1:1 with Judd (Lifecycle Marketing):

  • What win-back campaigns are you planning?
  • How do you currently define “reactivated user”?
  • What segments do you wish you had but don’t?
  • What’s blocking you from running more lifecycle experiments?

1:1 with Ryan (Experimentation Lead):

  • Follow-up from Wed meeting: Which experiments are greenlit?
  • What experiment tracking do you need?
  • How can we make it easier to launch 4 tests/month?

Tuesday, Jan 28

Theme: ELT Call Preparation

Morning (3 hours):

  • Finalize affiliate win story deck
  • Prepare 3-slide update for ELT call:
    • Slide 1: Affiliate Win Story (business impact)
    • Slide 2: Experimentation Support (intake CVR analysis + testing roadmap)
    • Slide 3: Self-Service Progress (training launched, request intake live)
  • Rehearse 2-minute pitch (lead with wins, not roadmap)

Afternoon (2 hours):

  • Anticipate ELT questions:
    • “How much $ did we save on affiliates?” (Have number ready)
    • “When will experimentation scale to 4 tests/month?” (Timeline)
    • “How do we know self-service is working?” (Metrics)
  • Prepare backup slides:
    • EdenOS data model progress
    • LTV:CAC by channel (if asked)

ELT Call (assume afternoon):

  • Lead with affiliate win story (30 sec)
  • Show experimentation framework (30 sec)
  • Highlight self-service progress (30 sec)
  • Ask for confirmation: “Does this align with where you want us focused?”
  • Take notes on any new priorities or pivots

Wednesday, Jan 29

Theme: Ecommerce Best Practices

Morning (3 hours):

  • Research Shopify data model standards:
    • Customer 360 (unified profile across touchpoints)
    • Product catalog structure
    • Order lifecycle events
    • Attribution model
  • Document gap analysis:
    • What does Bask give us today?
    • What does Shopify standard look like?
    • What does EdenOS need to enable?

Afternoon (3 hours):

  • Meet with Surf (EdenOS lead):
    • Share ecommerce best practices research
    • Align on data model requirements
    • Identify any blockers or unknowns
  • Update analytics rebuild tracker:
    • 5 tables done (status: complete)
    • 2 tables in progress (status: by when?)
    • X tables remaining (priority order)

Thursday, Jan 30

Theme: LTV:CAC Payback Model

Morning (4 hours):

  • Pull data for LTV:CAC analysis:
    • CAC by channel (Meta, Google, Affiliates, etc.)
    • Revenue by cohort (first 30/60/90/180 days)
    • Refill rates by channel
    • Churn rates by channel
  • Calculate payback periods:
    • How long to recoup CAC by channel?
    • Which channels have best LTV:CAC ratio?
    • Where should we shift budget?

Afternoon (2 hours):

  • Build LTV:CAC dashboard:
    • Chart 1: Payback period by channel
    • Chart 2: LTV:CAC ratio by channel
    • Chart 3: Cohort retention curves
  • Draft insights:
    • “Affiliates have X-day payback vs. Y-day for Meta”
    • “6-month plans outperform 12-month plans in LTV:CAC”
    • “Recommendation: Shift $X budget from Meta to Affiliates”

Friday, Jan 31

Theme: Week 2 Wrap-Up & Retro

Morning (2 hours):

  • Team retro:
    • What did we ship in the last 2 weeks?
    • What’s blocking us from being strategic vs. tactical?
    • Are we still getting pulled into ad hoc requests?
    • What should we stop/start/continue?

Afternoon (2 hours):

  • Update roadmap based on Jan 28 ELT feedback
  • Plan next 2 weeks:
    • What experiments are launching? (support needed)
    • What training sessions are scheduled? (self-service)
    • What strategic analyses are due? (LTV:CAC, CRO funnel)
  • Share Week 3-4 plan with team

End of Day:

  • Celebrate wins 🎉
  • Document lessons learned

Stakeholder Discovery Question Templates

For Mitesh (Marketing GM):

  1. What metrics do you look at every day? Every week?
  2. What reports are you using regularly? Which ones are you ignoring?
  3. If you could wave a magic wand, what analysis would help you make better decisions?
  4. What’s blocking you from hitting 2x growth this year?
  5. How do you want to run your weekly team meetings? What data do you need?

For Ryan (Experimentation Lead):

  1. What’s your goal for # of experiments per month?
  2. What’s blocking you from launching more tests?
  3. What analysis do you need before launching an experiment?
  4. How do you currently measure experiment success?
  5. What would make experimentation easier/faster?

For Judd (Lifecycle Marketing):

  1. What campaigns are you planning for Q1?
  2. How do you currently segment users?
  3. What segments do you wish you had but don’t?
  4. What’s your definition of “reactivated user”?
  5. What data would help you improve win-back campaigns?

For Brad (Ops Lead):

  1. Why do you use Monday.com instead of Tableau?
  2. What data do you trust? What data do you question?
  3. How do you define “SLA breach”?
  4. What reports would make your job easier?
  5. What’s the biggest data gap you’re dealing with?

Success Metrics (How to Know We’re On Track)

After 2 Weeks, We Should Have:

  • ✅ 5-slide affiliate win story deck (leadership can share externally)
  • ✅ Intake form CVR analysis (shows where to test)
  • ✅ 3 experiment hypotheses (ready to support Ryan)
  • ✅ Mixpanel 101 training materials (launched to 5+ users)
  • ✅ Request intake form (live and enforced)
  • ✅ Monday.com data reconciliation (root cause found + fixed)
  • ✅ LTV:CAC payback model (proves affiliate ROI)
  • ✅ Ecommerce best practices doc (guides EdenOS build)

Leading Indicators (Check Weekly):

  • Ad hoc request volume (should be decreasing)
  • Self-service Mixpanel usage (should be increasing)
  • Stakeholder engagement (are they using our work?)
  • Experiment velocity (tests launching on schedule?)

Red Flags (If We See These, We’re Off Track):

  • ❌ Still spending >50% time on ad hoc reports
  • ❌ Building dashboards no one uses
  • ❌ Missing ELT call commitments
  • ❌ Getting surprised by stakeholder priorities (not talking to them enough)

Communication Cadence

Daily (5 min):

  • Team standup: What are you working on? Any blockers?

Weekly (30 min):

  • Team check-in: Are we on track? Do priorities need to shift?

Bi-Weekly (1 hour):

  • ELT call: Lead with wins, get feedback, align on priorities

Monthly (2 hours):

  • Business review: Show impact metrics ($ saved, % conversion increase, etc.)

Final Checklist Before Jan 28 ELT Call

Must Have Ready:

  • Affiliate win story (quantified $$ impact)
  • Experimentation support (intake CVR analysis + testing roadmap)
  • Self-service progress (# of users trained, request volume down)
  • Clear ask: “Does this align with where you want us focused?”

Nice to Have (Backup Slides):

  • EdenOS data model progress
  • LTV:CAC by channel
  • CRO funnel analysis preview

Don’t Bring:

  • ❌ Long roadmap decks (they don’t care about plans, they care about results)
  • ❌ Measurement-heavy proposals (they said “too much measurement last quarter”)
  • ❌ Product-specific deep dives (semaglutide lifecycle, etc.)

Created: January 20, 2026 Review after Jan 28 ELT call and update based on feedback