Gong · Strategy · Senior · 45 to 60 minutes

Who Should Gong Optimize For?

Gong sells software that records and analyzes sales conversations so teams can coach reps and understand deals. Answer this product management case and get it graded line by line against a weighted rubric.

The situation

The VP of Product asks you for a strategy recommendation for Gong's next 12 to 18 months. Gong can record and analyze customer calls, and customers get some value from reviewing calls and coaching reps, but usage is uneven. In many sales teams, a few managers or enablement leads use the product deeply, while frontline reps see call review as extra work after a long day. The broader sales software market is also crowded with tools built around pipeline inspection, CRM hygiene, and manager reporting, so leadership worries Gong could be treated like another dashboard or archive instead of a must have system. At the same time, the team believes conversation data could become strategically important if customers use the product often enough and in a repeatable way. You need to recommend who Gong should optimize for first, what behavior or workflow it should try to own, and how to sequence product and business moves so the company builds durable value instead of one off insights. Assume you are advising at company bet scope, not just prioritizing a feature backlog.

What to produce

A 1 to 2 page strategy memo.

Your answer must

Constraints

Format

Use sections: problem, target user, options, recommendation, sequencing, metrics, risks.

How Gong actually played it

Breaks down how Gong built conversation intelligence into a large category by making call review central to sales team culture, using programs like internal showcases of winning calls, and by building analytics that track conversation patterns against success.

  • Turn a feature into a team practice and habit
  • A data asset from usage can become the moat
  • Look at how the category was created, not only the product

Built from How Gong Created a $7.25B Opportunity By Realizing Sales Software Optimized For The Wrong Person Entirely by Michael Goitein (Product Strategy Decoded).

Related case studies

Keep practising