Pick a Forecasting Stack for an Edtech Engagement Team
Overview
What this challenge is about.
Pick a Forecasting Stack for an Edtech Engagement Team. Intermediate challenge in strategy. Developing strategies for real business problems, earn a blockcha...
The Brief
What you'll do, and what you'll demonstrate.
Recommend the forecasting stack (in-house vs. OSS vs. SaaS) that gives the best 18-month outcome on cost, accuracy, and lock-in.
This is not a case study exercise. It is the work a consultant does when a client needs a recommendation backed by evidence. That distinction matters to every hiring manager who has seen candidates recite Porter's Five Forces and none who have built a recommendation a client would actually pay for.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Compare build/buy/OSS paths for a forecasting capability
- Estimate first-year cost and staffing for each path
- Run a small accuracy spike to ground the strategy in data
- Communicate a methodology recommendation to executive leadership
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Ai Strategy
Apply ai strategy to solve real industry problems and demonstrate production-level capability.
- Build Vs Buy Analysis
Apply build vs buy analysis to solve real industry problems and demonstrate production-level capability.
- Vendor Evaluation
Apply vendor evaluation to solve real industry problems and demonstrate production-level capability.
- Forecasting Evaluation
Apply forecasting evaluation to solve real industry problems and demonstrate production-level capability.
- Cost Estimation
Apply cost estimation to solve real industry problems and demonstrate production-level capability.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Manager
Producing a defensible build/buy/OSS strategy memo for a forecasting capability is core AI PM work at any scaled product company.
This challenge sharpens
- ai-strategy
- build-vs-buy-analysis
- vendor-evaluation
AI Solutions Architect
Architecting build/buy/OSS choices across cost and lock-in is the solutions architect's textbook job.
This challenge sharpens
- build-vs-buy-analysis
- vendor-evaluation
- cost-estimation
Data Scientist
Running an accuracy spike to anchor a strategy memo is a senior data-scientist contribution to product strategy.
This challenge sharpens
- forecasting-evaluation
- ai-strategy
- data-storytelling