← Lectures 3–4

Lectures 3–4 · Unit Economics + Prioritization

Lecture slides

The full deck used in class, plus a quick outline of the key points covered in Lectures 3 and 4.

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Lectures 3–4 — full deck

PowerPoint (.pptx) · 3.8 MB · 116 slides
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What’s inside

Lecture 3 key points

  1. 1

    When LTV = 3 × CAC is bad

    Why a healthy-looking ratio can still fail when payback is slow and growth creates a cash gap.

  2. 2

    Unit Economics model deep dive

    Detailed funnel and cohort logic: CAC, LTV, retention, contribution profit, and payback.

  3. 3

    UE model practical task

    Hands-on model building and interpretation using a realistic acquisition and revenue case.

  4. 4

    Priorities

    How prioritization changes when product decisions are connected to economics, not only user requests.

  5. 5

    Prioritization based on UE

    Estimating the economic impact of product changes and comparing feature ideas by value and effort.

  6. 6

    Discussion: what feature impacts what

    Mapping features to funnel steps, conversion rates, LTV, CAC, and other unit-economics levers.

Continued

Lecture 4 key points

  1. 1

    Theory of Constraints by Goldratt

    How to find the bottleneck, subordinate the system to it, expand it, and repeat.

  2. 2

    Looking for bottlenecks in a job-search funnel

    A practical case showing how impressions, profile views, responses, interviews, and offers form a funnel.

  3. 3

    Job Search Quiz

    Choosing actions based on the current bottleneck rather than optimizing the wrong step too early.

  4. 4

    Digital product sales funnel variability

    How different marketing channels create different funnel shapes, conversion rates, sales volume, and CAC.

  5. 5

    Digital product monetization variability

    Direct sales, subscription, freemium, ads, marketplace commissions, usage-based pricing, and other monetization models.

  6. 6

    The most useful skill + homework

    Using spreadsheets, benchmarks, AI, and internet research to build a semi-open UE model and evaluate feature economics.