Scotia Decoded:
Bringing Gen Z Into Investing
A Solution by MV Squared Consulting
Vivian Yang
CS/BBA Student
Megan Alvizo
Math/BBA Student
Ved Thakar
CS/Economics Student
Maria Khan
CS/BBA
Student
MV Squared Consulting
Problems Scotiabank is Facing
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
Key Takeaway: Scotiabank needs to make investing feel simple, social, and easy to start.
Low Gen Z Investment Conversion
Scotiabank has many young customers, but it is failing to convert them into young investors before fintech competitors.
Confidence & Clarity Gap
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
How does Scotiabank turn existing young depositors into investors?
The Big Question
Decision Criteria
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Status Quo (Smart Investor)
Prototype
Options
Decision Criteria
Appeal to audience aged 18-34
Differentiate from competitors
Foster loyalty and repeat visits
Wealthsimple
“Scotia Decoded”
Recommendation
Decision Criteria
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
Wealthsimple
“Scotia Decoded”
Recommendation
Options
Decision Criteria
Appeal to audience aged 18-34
Differentiate from competitors
Foster loyalty and repeat visits
Status Quo (Smart Investor)
Prior user motivation to invest
Generic product recommendations
No ongoing engagement after account setup
Decision Criteria
“Scotia Decoded”
Recommendation
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
Wealthsimple
Simple UI but no personalization
Can’t beat them on their own game of simplicity
Education content keeps them engaged
Options
Decision Criteria
Appeal to audience aged 18-34
Differentiate from competitors
Foster loyalty and repeat visits
Decision Criteria
Options
Decision Criteria
Appeal to audience aged 18-34
Differentiate from competitors
Foster loyalty and repeat visits
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
“Scotia Decoded”
Recommendation
Speaks Gen Z’s language
Combine content + banking data for personalized experience
Personalized content + Playback habit loop
Decision Criteria
Options
Decision Criteria
Appeal to audience aged 18-34
Differentiate from competitors
Foster loyalty and repeat visits
“Scotia Decoded”
Recommendation
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
Our Recommendation:
Overview
Recommendation
Decision Criteria
Analysis
Expected Outcome
Mitigations
Implementation
Prototype
“Scotia Decoded”
An in-app AI guide that removes the overwhelm of trading platforms
AI reels that explain investing in Gen Z language
Can practice with fake money, then graduate to real investing
Meet Jumpy Jason
Demographics:
Geographics: Lives in large urban/suburban Canadian city.
Situation: Jason feels a lack of confidence; investing is too hard and complicated. He relies on social media to get information.
SCOTIA DECODED
Overview
Recommendation
Decision Criteria
Prototype
Analysis
Expected Outcome
Mitigations
Implementation
Turning Passive Balances into First Investments
Overview
Recommendation
Decision Criteria
Prototype
Analysis
Expected Outcome
Mitigations
Implementation
Real Financial Insights
Side-by-Side Comparison
Gen Z Language + AI Guidance
01
02
03
Meet Jumpstart Jason
Jason feels more confidence
He knows more about investing.
He continues investing with Scotiabank.
18-Month Plan
Overview
Recommendation
Decision Criteria
Expected Outcome
Mitigations
Implementation
Short-Term (0-3 Months)
Medium-Term (4-11 Months)
Long-Term (12+ Months)
Prototype
Risks + Mitigations
Key Takeaway: Clear AI guardrails, authentic Gen Z testing, and a direct content-to-app keep Scotia Decoded compliant, credible, and conversion-focused.
Regulatory/compliance risk from AI “advice”
Gen Z content could feel cringe or inauthentic
High engagement but low conversion to actual investing
Risks
Position the AI as an education-only guide, not an advisor.
Use a Gen Z content review panel and test content before launch.
Tie every content piece to a clear in-app action.
01
02
03
Overview
Recommendation
Decision Criteria
Expected Outcome
Mitigations
Implementation
Prototype
Expected Outcomes
Overview
Recommendation
Decision Criteria
Expected Outcome
Mitigations
Implementation
Prototype
Higher Investment Conversion
Increased Financial Confidence
Better Digital Engagement
Key Takeaway: Scotia Decoded turns investing confusion into a guided, confidence-building journey for Gen Z.
Feasibility
Effectiveness
Completeness
Would it be successful?
Overview
Recommendation
Decision Criteria
Expected Outcome
Mitigations
Implementation
Prototype
Thank You!
Appendices
Heat Map
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Likelihood
Severity
2
3
1
Risk | Mitigation | Contingency |
Regulatory/compliance risk from AI “advice” Users may mistake the AI mentor’s explanations as official financial advice. | Keep the AI as an education-only guide that explains concepts but never directly says “buy” or “sell.” Add disclaimers and advisor escalation. | If risk is too high, replace “invest/sell” language with safer prompts like “review,” “learn more,” or “speak to an advisor.” |
Gen Z content feels inauthentic Reels may feel forced or cringe if the slang sounds corporate. | Test content with Gen Z review panels, student ambassadors, and A/B testing before launch. | If engagement is low, shift to creator-style storytelling using real student money scenarios. |
High engagement but low conversion Reels may get views but not lead to account openings or investing actions. | Connect every reel to a clear in-app action like paper trading, AI mentor, or TFSA setup. | If conversion stays low, add beginner challenges, rewards, or a simplified “start with $25” investing path. |
Gantt Chart
Financial Analysis - CAPEX, UAC
Financial Analysis - Financial Forecast, ROI
Social Media
Gen-Z Values
Social Media
Relevant Statistics
SWOT Analysis
S
W
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T
PEST Analysis
P
E
S
T
Perceptual Map
High Perceived Trust
Low Perceived Trust
Simple/Beginner Friendly
Complex
Before
After