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High-Impact Discovery Questions for Selling to Product Managers in SaaS

Summary:

Uncover product gaps, align on roadmap needs, and accelerate qualification with questions tailored for SaaS Product Managers.
If you sell AI or Analytics tools to Product Managers in SaaS companies, strong discovery helps you move beyond surface-level features to real use cases. The right questions help uncover workflow inefficiencies, data blind spots, and unmet product goals.

Here’s a curated library of 30 discovery questions you can use across early discovery, qualification, and deep needs analysis. These are ideal when selling platforms that improve product decisions, data visibility, or customer insights.

Early Discovery (Understand context + hook interest)

  • What product goals are top-of-mind this quarter?
  • What analytics challenges are slowing down your roadmap decisions?
  • How are you tracking product usage or feature adoption today?
  • Where do you feel blind spots exist in your product or user data?
  • How do you currently prioritize user feedback for roadmap planning?
  • What tools are you using to analyze product performance today?
  • Are you exploring any new AI or ML capabilities internally?
  • How do you typically run A/B tests and validate new features?
  • What’s the biggest frustration your team has with current analytics tooling?
  • How do you enable stakeholders (e.g., marketing, CS) with product data?

Qualification (Uncover priorities, buying signals)

  • What would success look like from a product analytics or AI investment?
  • What limitations are you seeing in your current analytics setup?
  • Who else needs to access or interpret product performance insights?
  • How do you evaluate new analytics tools, what matters most to you?
  • Have you tried to solve these challenges with internal tools or dashboards?
  • What’s your timeline for adopting new product intelligence tools?
  • Are other teams involved in this decision (engineering, growth, etc.)?
  • What features or capabilities are non-negotiable for you?
  • Is this initiative tied to an upcoming launch or roadmap shift?
  • Is budget already allocated or under consideration?

Deep Needs Analysis (Tie value to goals, quantify pain)

  • How often do teams make roadmap decisions based on incomplete data?
  • How confident are you in the accuracy of your current usage analytics?
  • What impact would faster insight delivery have on your team?
  • How do you ensure product changes align with business goals?
  • How long does it take today to go from question → insight → action?
  • What’s the cost of a mis-prioritized or delayed feature?
  • How do you track cohort behavior or long-term user trends?
  • What kind of automation or AI insights would speed up your decision cycles?
  • How do you currently identify churn risks from usage data?
  • If you could automate one analytics workflow, what would it be?

How Pepsales AI Helps

Pepsales AI helps sales teams ask the right questions, faster. It delivers intelligent, role-specific, and industry-aware discovery questions in real time tailored to the context of each deal.

What it delivers:

  • A library of proven questions per industry, persona, and product
  • Smart prompts that adapt to buyer role, objections, and stage
  • Embedded coaching and insights to guide better conversations
  • Automation of discovery prep, no more guesswork

Whether you’re prepping for a demo or coaching new reps, Pepsales AI ensures every conversation starts strong and gets to the real need, fast.

Ready to unlock higher-quality discovery conversations?

Get early access to the Pepsales Discovery Copilot today.
Equip your team with questions that uncover real problems, build urgency, and close more deals.

Get Discovery Copilot