I went straight to the revenue math and kind of forgot to anchor on the customer side first.
Start by clarifying the objective—whether the goal is to maximize revenue, adoption, or customer lifetime value—and then compare the one-time fee vs. subscription model across key dimensions like customer segments, revenue predictability, and competitive dynamics. Conclude with a recommendation that balances short-term and long-term trade-offs, and suggest a hybrid approach if appropriate.
Pro tip: Acknowledge that pricing decisions are highly context-dependent and that Tesla's unique brand and software capabilities might make a subscription model more viable than for traditional automakers. Show that you can think like a product leader by considering second-order effects, such as how subscription could accelerate data collection for autonomy.
Ask what Tesla aims to achieve: maximize revenue, increase adoption, or accelerate autonomy development? The answer will shape the recommendation.
Identify different customer groups (e.g., tech enthusiasts, daily commuters, long-distance drivers) and how their willingness to pay and usage patterns might differ under each model.
Compare one-time fee vs. subscription on revenue predictability, affordability, customer lifetime value, and impact on resale value. Consider Tesla's cost structure and competitive landscape.
Assess how each model affects Tesla's ability to collect data, iterate on software, and build an ecosystem. Also consider potential cannibalization of hardware sales.
Propose a recommendation (e.g., hybrid model) and outline how to test it (e.g., A/B test, pilot) and mitigate risks like customer backlash or revenue dip.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.