MindTickle

Problem

Mindtickle operates as a multi-product revenue enablement platform, which gives it broad coverage—but also puts it in direct competition with multiple specialized enterprise tools

Objective

Design a repeatable competitive intelligence framework and produce sales-ready battlecards that:

• Reflect real buyer decision criteria

• Help sellers position Mindtickle’s strengths without attacking competitors

• Improve confidence, consistency, and win-rates in competitive deals

My Role

Product Strategy & Competitive Intelligence (PM-adjacent role)

I independently:

• Framed the competitive problem from a seller + buyer perspective

• Conducted cross-source research (G2, Gartner, TrustRadius, Klue, case studies, pricing data)

• Interviewed and synthesized insights from Product Marketing and Sales stakeholders

• Translated research into actionable sales artifacts, not academic analysis

What I Did

1. Competitive Landscape Mapping

• Segmented competitors by category:

  • Sales Enablement (Seismic, Highspot, Allego)

  • Conversation Intelligence (Gong, Clari)

  • AI Roleplay & Coaching (Second Nature, Quantified)

• Identified overlap vs differentiation risk for Mindtickle’s multi-product strategy

2. Buyer & Seller Insight Synthesis

• Analyzed win-loss themes and user reviews to extract:

  • Top 3 buying criteria by company type (Tech, Non-Tech, Commercial)

  • Where competitors win emotionally vs functionally

• Mapped sales cycle stages (discovery → demo → negotiation) to information needs

3. Battlecard Design

Built seller-ready competitive battlecards for:

• Seismic

• Highspot

Each battlecard included:

• Core positioning narrative

• Strengths vs weaknesses (validated by third-party reviews)

• Trap-setting discovery questions

• “How to win” guidance tied to real sales motions

• When to position Mindtickle alone vs “better-together”