How I Turned Partner Data Into a Rep Coach With Sigma

Sigma’s Partner Ground Game workbook is an agent-powered sales application embedded in representatives’ territory management tools that turns partner overlap data into actionable co-selling guidance. Built on data from seven sources, including customer and prospect overlap, account briefings, opportunity histories, Gong call summaries, and proof-of-value usage, it guides reps through four stages: identifying high-priority partner representatives, preparing relationship-building outreach, developing account-specific co-sell pitches, and maintaining partner engagement during active deals. Each stage uses a dedicated Sigma agent with access to relevant data and tailored prompts, enabling it to recommend priorities, preserve filters between workflow steps, draft messages, and adapt recommendations to account and deal context. The project used Sigma features such as repeater elements, tabbed containers, input tables, and embedded agents, with early Figma wireframes helping define the application structure. Its creator emphasizes that clean, well-modeled data and a data-first architecture were essential to building effective agents, and reports that the workbook is now available to all Sigma sales representatives.

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