A Warm-up: Analysis (Assess)
B Case Study: The Declining Sales Report
C Extract: Skill & AIM Action
D Reinforcement Activity: Fix the Flow
Integrating core critical thinking skills with the AIM framework
Lesson 1
A. Warm-Up (5 min)
Activity: Mystery Object
B Case Study: The Declining Sales Report
Scenario: A retail company’s sales dropped 20% last quarter.
Materials:
Raw sales data by region/product.
Customer feedback snippets (e.g., “Hard to find products online”).
Competitor promo timelines.
Task: Assess the data—what’s driving the decline? What’s missing?
Case Title: The Mystery of Declining Sales at TrendSpot Retail
Objective: Use analysis (breaking down information) to diagnose why sales dropped 20% last quarter and propose data-driven solutions.
Case Background
TrendSpot Retail, a mid-sized fashion chain, saw an unexpected 20% sales decline last quarter. The CEO has asked your team to investigate.
Available Data:
Sales Reports (Last 6 Months):
Regional breakdown (North vs. South stores)
Online vs. in-store sales
Top 5 best/worst-selling products
Customer Feedback (From Surveys & Reviews):
“Couldn’t find my size online—gave up.”
“Checkout took forever in-store.”
“New summer collection felt overpriced.”
Competitor Activity:
Rival brand UrbanThreads launched a 30% discount promo during the same period.
Your Task
Assess the Data (20 minutes):
Break into small groups.
Analyze the provided datasets (sales, feedback, competitors).
Identify:
Patterns (e.g., Is the drop consistent across regions?)
Gaps (e.g., Do we have data on website traffic?)
Answer Key Questions:
What are at least 3 possible causes of the sales decline?
Which data is most compelling to support your hypotheses?
What additional information would you need to confirm?
Guided Steps (Using AIM Framework)
ASSESS (Analyze Objectively):
Sort data into categories: customer pain points, external factors, internal issues.
Example: “Online sales dropped 35%—link this to negative website feedback.”
IDENTIFY (Spot Biases/Assumptions):
Challenge: “Are we blaming pricing too quickly? Could website UX be the bigger issue?”
MAKE (Propose Action):
Draft a 1-page recommendation for the CEO. Example:
*“Prioritize fixing website navigation (proven by feedback) and test a 10% price cut on slow-moving items.”*
Tools to Use
SWOT Analysis: Map strengths/weaknesses in TrendSpot’s strategy.
Root Cause Template:
Problem: Sales decline → Why? → Poor online UX → Why? → No mobile optimization → Why? → IT budget cuts
Debrief Group Discussion
Share hypotheses. Did teams focus on the same data points?
Critical Insight: Analysis isn’t just about data—it’s about asking the right questions.
A line graph is showing TrendSpot’s sales plummeting in April, while a competitor’s line rises. A bar chart reveals the North region struggled most. This visual tells us to dig deeper—was it the competitor’s promo, or something internal?
C. Extract: Skill & AIM Action
Skill: Analysis = Breaking data into patterns (e.g., regional trends, website complaints).
AIM Action:
Assess: Audit sales data vs. customer feedback.
Identify: Flag assumptions (e.g., “Is it just pricing, or is navigation the issue?”).
Make: A focused experiment (e.g., A/B test website layout).
Tools: SWOT analysis, data dashboards.
D Reinforcement Activity: Fix the Flow
Fix the Flow: Groups map a broken process (e.g., hotel check-in) using sticky notes.
Goal: Identify 3 redundant steps and propose a streamlined version.