Gamma · Go-to-market · Mid · 45 to 60 minutes

Should Gamma relaunch around AI drafting?

Gamma is a software product for creating and sharing presentations and related business content. Answer this product management case and get it graded line by line against a weighted rubric.

GTM strategy
Activation
Experiment design
Prioritization
Metrics

The situation

Grant Lee, Gamma's CEO, has asked you, the PM owning new user growth, for a recommendation. Gamma has spent roughly two years building a modern presentation product, but most new users still hit a blank canvas, feel overwhelmed, and leave before creating anything useful. Activation is poor, only about 5 percent of signups reach a first meaningful draft, and the company is still pre-revenue in a tough funding market. At the same time, recent generative AI models make it newly possible to turn a rough idea into a first draft. The team believes this could change the onboarding experience, but there are real questions: should Gamma make AI generated drafts the center of the product experience, how should it position that change in market, and what growth motion should it use if it cannot outspend incumbents? Assume the team can fund only one major onboarding and growth initiative over the next six months. You need to recommend a go-to-market plan that improves activation without creating a costly science project or a channel strategy the small team cannot sustain.

What to produce

Write a 1 to 2 page product and go-to-market recommendation memo.

Your answer must

State your recommendation on whether AI generated drafting should be the default first run experience, a secondary option, or deferred, and explain why.
Define the initial target user segment and the single launch message Gamma should lead with.
Map the activation funnel from signup to first shared output, define the first meaningful output, and name three metrics you would track weekly.
Propose three sequenced experiments across onboarding, distribution, and sharing, each with a hypothesis and a success threshold.
Address monetization timing, model cost and quality uncertainty, and the top three risks with mitigations.

Constraints

The team is small, so the plan cannot depend on broad headcount expansion or a complex sales assisted motion.
Paid acquisition budget is limited, so the plan should not rely on heavy ad spend.
The product must deliver clear value in the first session for self serve users.
Incumbents have much stronger existing distribution, so differentiation must come from product experience and growth loops.

Format

Use sections titled diagnosis, recommendation, launch plan, metrics and experiments, and risks.

How Gamma actually played it

Describes Gamma growth in eras: a simple frustration, the AI inflection and activation, creator-driven PLG and a lean team amplification loop.

Fix activation when AI changes the product
Creators can accelerate PLG
Productize virality inside the product

Built from How Gamma grew to $100M ARR (and a $2.1B valuation) by The GTM Newsletter (GTMnow).