LMNT: Analysis Recommendations - Quick Reference for Strategic Planning Session
Date Created: 2026-02-16
Purpose: One-page reference for pitching analysis recommendations during strategic planning session
🎯 Analysis Recommendations (Prioritized)
QUICK WINS (Do First - Week 1-2)
1. “What Can I Answer Right Now?” Guide
Business Question: “What questions can I answer with current data?”
Value:
- Sets expectations immediately
- Reduces stakeholder frustration
- Shows progress clearly
- Guides future questions
Effort: Low (1 day)
Timeline: Week 1
Dependencies: None
Deliverable: Quick reference guide showing:
- ✅ Questions we CAN answer
- ⚠️ Questions partially answerable
- ❌ Questions blocked (and why)
- 📅 Timeline for blocked questions
Pitch: “This helps you set expectations with stakeholders and shows what’s possible right now. It’s a quick win that reduces frustration and demonstrates progress.”
2. Walmart vs Target Comparison Analysis
Business Question: “How are Walmart and Target performing differently?”
Value:
- Answers basic business questions (Phil’s question)
- Builds confidence in data
- Demonstrates value immediately
- Sets foundation for deeper analysis
Effort: Low-Medium (1-2 days)
Timeline: Week 1
Dependencies: fact_sales table available
Deliverable: Comparison dashboard/report:
- Revenue by retailer
- Growth trends
- Product performance
- Geographic breakdown (if available)
- Key differences explained (POS vs order management)
Pitch: “Phil asked: ‘How is Target performing versus Walmart?’ Right now, we can’t answer this. This analysis answers that question and sets up future comparisons. It’s a quick win that demonstrates we can answer basic business questions.”
3. Data Quality & Reconciliation Report
Business Question: “Can we trust this data?”
Value:
- Builds trust with stakeholders
- Reduces “why doesn’t this match?” questions
- Establishes baseline for comparisons
- Documents known limitations
Effort: Medium (2-3 days)
Timeline: Week 1-2
Dependencies: Access to comparison sources (Shopify, finance)
Deliverable: Reconciliation report:
- Our numbers vs Shopify vs Finance
- Variance explanations (<10% is normal)
- Data quality metrics
- Known limitations documented
Pitch: “This addresses the finance reconciliation issue head-on. It shows why numbers don’t match perfectly (accounting vs operational data) and establishes that <10% variance is normal. This builds trust and reduces future questions.”
STRATEGIC INVESTMENTS (Plan Carefully - Week 2-4)
4. Wholesale Partner Performance Analysis
Business Question: “Which wholesale partners should we focus on?”
Value:
- Guides resource allocation
- Identifies high-value vs low-value partners
- Shows growth opportunities
- Supports strategic decisions
Effort: Medium (2-3 days)
Timeline: Week 2-3
Dependencies: wholesale_mart complete
Deliverable: Partner performance dashboard:
- Revenue by partner
- Growth trends
- Segment analysis (health practitioners, gyms, etc.)
- Recommendations for focus
Pitch: “Laura and the wholesale team need to know which partners to prioritize. This analysis helps them allocate resources strategically and identify growth opportunities. It demonstrates value to a key stakeholder.”
5. Retail Channel Performance Deep Dive
Business Question: “How should we allocate resources across retail channels?”
Value:
- Guides channel strategy
- Supports resource allocation decisions
- Identifies expansion opportunities
- Answers Phil’s strategic questions
Effort: Medium-High (3-4 days)
Timeline: Week 3-4
Dependencies: Retail models complete, Walmart tables joined
Deliverable: Channel performance analysis:
- Revenue by channel/product/geography
- Growth trends
- Market share analysis
- Strategic recommendations
Pitch: “Phil needs to understand retail channel performance to make strategic decisions. This analysis provides the insights he needs to allocate resources and identify expansion opportunities. It positions you as a strategic thought partner.”
6. ROI & Impact Analysis
Business Question: “What’s the ROI of our data investments?”
Value:
- Justifies investment to leadership
- Shows progress and value delivered
- Builds support for future investments
- Guides prioritization
Effort: Medium-High (3-4 days)
Timeline: Week 7-8
Dependencies: Usage metrics, stakeholder feedback
Deliverable: ROI analysis report:
- Value delivered (time savings, decisions enabled)
- Adoption metrics
- Stakeholder feedback
- Future recommendations
Pitch: “This helps you justify the data investment to leadership and show progress. It demonstrates value delivered and builds support for future investments. It’s essential for your thought partnership with leadership.”
FILL GAPS (When Capacity Allows - Week 4-8)
7. Revenue Trend Analysis & Forecasting
Business Question: “Where is revenue heading?”
Value:
- Supports planning and goal-setting
- Identifies risks and opportunities
- Guides resource allocation
- Completes the picture
Effort: Medium (2-3 days)
Timeline: Week 3-4
Dependencies: Historical data available
Deliverable: Trend analysis report:
- Historical trends by channel
- Growth rates
- Simple forecasts
- Key insights
Pitch: “This supports planning and goal-setting. It helps stakeholders understand where revenue is heading and identify risks/opportunities. It completes the picture of current performance.”
8. Customer Segmentation Analysis
Business Question: “How should we segment and target customers?”
Value:
- Guides marketing strategy
- Supports product decisions
- Identifies growth opportunities
- Enables targeted campaigns
Effort: High (4-5 days)
Timeline: Week 5-6
Dependencies: Customer data modeled, historical data
Deliverable: Segmentation analysis:
- Customer segments defined
- Segment performance
- Growth opportunities
- Strategic recommendations
Pitch: “This enables targeted marketing and product strategies. It helps stakeholders understand customer behavior and identify growth opportunities. It’s a strategic analysis that drives long-term value.”
9. Product Portfolio Analysis
Business Question: “Which products should we prioritize?”
Value:
- Guides product strategy
- Supports inventory decisions
- Identifies winners/losers
- Drives growth
Effort: High (4-5 days)
Timeline: Week 6-7
Dependencies: Product data across all channels
Deliverable: Product portfolio analysis:
- Performance by product/channel
- Growth trends
- Portfolio recommendations
- Strategic insights
Pitch: “This guides product strategy and inventory decisions. It helps stakeholders understand which products drive value and where to focus. It’s a strategic analysis that supports key business decisions.”
📊 Prioritization Matrix
| Analysis | Impact | Effort | Priority | Timeline |
|---|---|---|---|---|
| ”What Can I Answer?” Guide | High | Low | DO FIRST | Week 1 |
| Walmart vs Target Comparison | High | Low-Med | DO FIRST | Week 1 |
| Data Quality & Reconciliation | High | Medium | DO FIRST | Week 1-2 |
| Wholesale Partner Performance | High | Medium | STRATEGIC | Week 2-3 |
| Retail Channel Deep Dive | High | Med-High | STRATEGIC | Week 3-4 |
| ROI & Impact Analysis | High | Med-High | STRATEGIC | Week 7-8 |
| Revenue Trend Analysis | Medium | Medium | Fill Gap | Week 3-4 |
| Customer Segmentation | High | High | Fill Gap | Week 5-6 |
| Product Portfolio Analysis | High | High | Fill Gap | Week 6-7 |
🎯 Recommended Sequence (Next 8 Weeks)
Weeks 1-2: Quick Wins
- “What Can I Answer?” Guide (Week 1)
- Walmart vs Target Comparison (Week 1)
- Data Quality & Reconciliation (Week 1-2)
Goal: Build momentum, answer basic questions, set expectations
Weeks 2-4: Strategic Investments
- Wholesale Partner Performance (Week 2-3)
- Retail Channel Deep Dive (Week 3-4)
- Revenue Trend Analysis (Week 3-4, if capacity)
Goal: Enable decision-making, demonstrate value, support stakeholders
Weeks 5-8: Fill Gaps & Strategic
- Customer Segmentation (Week 5-6, if capacity)
- Product Portfolio Analysis (Week 6-7, if capacity)
- ROI & Impact Analysis (Week 7-8)
Goal: Strategic planning, long-term value, justify investment
💬 How to Pitch During Session
Opening:
“Shivani, I’ve prepared a prioritized list of analyses that connect our engineering work to business value. These help you answer stakeholder questions and demonstrate your thought partnership. Let me walk through the recommendations.”
For Each Analysis:
- State the business question it answers
- Explain the value to stakeholders
- Clarify the effort required
- Propose the timeline
- Ask for input on priority
Closing:
“Based on what I’m hearing, here’s my recommended sequence for the next 4-8 weeks. Does this align with your priorities? What would you like to adjust?”
🔄 Adoption Stage Mapping
Stage 1 → Stage 2: Understanding
- ✅ “What Can I Answer?” Guide
- ✅ Walmart vs Target Comparison
- ✅ Data Quality & Reconciliation
Goal: Answer basic questions, build confidence
Stage 2 → Stage 3: Decision-Making
- ✅ Wholesale Partner Performance
- ✅ Retail Channel Deep Dive
- ✅ Revenue Trend Analysis
Goal: Enable decisions, demonstrate value
Stage 3 → Stage 4: Strategic Planning
- ✅ Customer Segmentation
- ✅ Product Portfolio Analysis
- ✅ ROI & Impact Analysis
Goal: Strategic thought partnership, justify investment
📝 Session Talking Points
Connect Engineering to Value:
- “The
fact_salestable we built enables the Walmart vs Target comparison” - “Once Awaish joins the Walmart tables, we can do the Retail Channel Deep Dive”
- “The wholesale mart we completed enables the Partner Performance analysis”
Address Her Needs:
- “This helps you answer Phil’s question about Target vs Walmart”
- “This gives you data to support resource allocation decisions”
- “This helps you justify the data investment to leadership”
Set Expectations:
- “We can do these 3 quick wins this week”
- “The strategic analyses require the engineering work to be complete”
- “Here’s what’s blocked and when it will be unblocked”
✅ Success Criteria
After this session, Shivani should:
- ✅ Have a clear prioritized list of analyses
- ✅ Understand how analyses connect to stakeholder value
- ✅ See the path from engineering work to business value
- ✅ Feel prepared to be a thought partner
- ✅ Have a roadmap for the next 4-8 weeks
Use this document during the strategic planning session to pitch recommendations and guide prioritization.