What are the most effective open-ended questions to ask a struggling sales rep during a coaching session?

Why Traditional Coaching Questions Fail in 2027

The old standby—"What's holding this deal back?"—yields vague answers like "budget" or "timing." In 2027, that's insufficient because AI funnel tools (e.g., Clari's Deal Risk Score) already flag budget objections. The real issue is often a rep's failure to map the buying committee or sequence outreach across Salesloft cadences. Gartner's 2026 data shows 77% of B2B buyers now require a consensus meeting with 5+ stakeholders before vendor selection. A rep who can't name the champion's boss or the CFO's procurement timeline is drowning in a 2023 playbook. The questions below force reps to articulate specifics that Gong transcript analysis would catch—but the rep must own the insight.

The 7 High-Impact Open-Ended Questions for 2027

1. "Walk me through the last 30 minutes of your last discovery call—what did you learn that changed your MEDDPICC map?"

This question targets the AI blind spot. Many reps rely on Gong's auto-summary and skip manual reflection. By asking them to reconstruct the call, you force them to identify gaps in their Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, and Competition (MEDDPICC) fields in Salesforce. If they can't name a new pain or stakeholder, their AI copilot is doing the work for them—a common 2027 trap. A struggling rep might say "they seemed interested," which is a red flag; the coach can then probe "interested in what specific outcome?" This connects call performance to pipeline hygiene.

2. "If I asked your champion to describe your solution in one sentence right now, what would they say—and how does that differ from what they said last quarter?"

Buying committees in 2027 are larger and more fragmented, per Forrester's 2026 B2B Buying Study. This question reveals if the rep's champion is still aligned with the original value prop or has been swayed by a competitor (e.g., a new HubSpot integration) or internal politics. If the rep hesitates, they've lost narrative control. The ideal answer includes a shift from "faster reporting" to "compliance automation"—showing the rep adapted to a new decision criteria from the legal stakeholder. This question also tests Challenger Sale skills: the rep should be teaching the champion new reasons to buy.

3. "Show me your pipeline for next quarter—which three deals have the highest risk of slipping, and what's your specific plan to compress each one by 14 days?"

Salesforce data shows that 60% of deals slip at least once in 2027 (up from 45% in 2022), driven by longer cycles and procurement gatekeeping. This question forces the rep to prioritize deal velocity over volume. The "14 days" is a concrete target—if the rep can't name a specific action (e.g., "I'll schedule a CFO-CFO meeting via Outreach sequence next Tuesday"), they're managing hope, not process. Use Clari's win-rate data to validate their risk assessment. A struggling rep will point to "budget freeze" as a generic blocker; a strong rep will say "the VP of Ops needs a TCO model from our finance team—I'll send it by Thursday."

4. "What did your AI copilot recommend for your next action on the Acme deal, and why did you choose to do something different?"

In 2027, AI coaching tools (e.g., Salesloft's Rhythm) suggest next steps based on Gong call patterns. This question reveals if the rep is ignoring AI signals or blindly following them without critical thinking. The best answer shows a rep who evaluated the AI suggestion (e.g., "send a case study") but overrode it because the buyer's champion just left the company—a nuance the AI missed. This exposes whether the rep is using AI as a *copilot* or a *crutch*. If they can't articulate the reasoning, they're not managing the deal—the AI is.

5. "Tell me about the last time a deal you expected to close this quarter moved to 'closed lost'—what was the first sign you missed?"

This is a retrospective question that builds a deal review loop. In 2027, Gong can surface the exact moment a deal turned (e.g., the rep failed to handle an objection from the IT stakeholder). By asking for the *first sign*, you train the rep to recognize early signals—like a missed MEDDPICC field update in Salesforce or a delayed Clari forecast change. A struggling rep will say "they went dark"; a coached rep will say "the champion stopped replying to my emails after I sent the pricing proposal without looping in procurement." This question builds pattern recognition for future deals.

6. "If you had to bet $1,000 of your commission on one deal in your pipeline right now, which one—and what's the single piece of evidence that makes you confident?"

This question forces probability calibration. Many reps over-optimize on "verbal commitments" that Gong analysis shows are non-binding. The "evidence" must be a documented action—e.g., "the CFO approved the budget in a meeting recorded in Salesforce" or "the champion shared the internal RFP timeline." If the rep points to "they said they loved the demo," they're not ready. This ties directly to MEDDPICC's Paper Process (formal procurement steps) and Decision Process (who signs off). For struggling reps, this question often reveals they have no "anchor deal" they truly trust.

7. "What's the one thing you're not telling me about your pipeline right now?"

This is the honesty check. In 2027, with Clari and Salesforce tracking every activity, reps may feel watched and hide bad news. This question opens a safe space. A struggling rep might admit "I haven't updated my pipeline in 3 weeks because I'm afraid of the numbers" or "I lost the champion on the Smith deal two days ago but didn't log it." The coach can then address the fear of failure and reinforce that accurate data is more valuable than optimistic data. This question often uncovers process breakdowns (e.g., not using Outreach cadences) that AI can't fix alone.

Mermaid Diagram: Decision Tree for Question Selection

Mermaid Diagram: Coaching Feedback Loop

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FAQ

What if the rep says they just need more leads? That’s a common surface complaint. Ask them to walk you through their current pipeline coverage ratio (e.g., deals vs. quota) and how many of those leads they’ve actually contacted. Often the real issue is poor qualification or follow-up, not lead volume.

How do I get a rep to admit they’re avoiding difficult conversations with buyers? Try: “Tell me about the last time a prospect pushed back on pricing or timeline—how did you handle it?” Their answer reveals whether they lean into objections or deflect. Honest reps will describe specific tactics; struggling ones often give vague or defensive responses.

Should I focus on one deal or the whole pipeline during coaching? Both, but start with a single deal to diagnose micro-skills (e.g., discovery questions). Then zoom out: “If you had to pick one stage in your pipeline where deals most often stall, which is it?” This isolates whether the problem is individual calls or systemic pipeline hygiene.

What if the rep blames the product or pricing? Acknowledge the concern, then redirect: “What’s one thing you could have done differently in that last call to uncover what the buyer truly valued?” This shifts focus from external factors to their controllable actions—like listening for pain points or building champions.

How do I know if they’re using AI tools effectively? Ask: “Show me a recent call recording where Gong or Chorus flagged a key moment—what did you learn from it?” If they can’t recall a specific insight, they’re likely ignoring the tool’s coaching potential. Effective reps use these to refine talk tracks.

What’s a good question to uncover buying committee dynamics? “Who else was in the room (virtually) during your last demo, and what did each person seem to care about most?” Struggling reps often can’t name more than one or two stakeholders or their priorities. This reveals whether they’re mapping influence and tailoring messages.

Sources

• Gong Labs: "The Anatomy of a Winning Sales Call" (2026)
• Gartner: "The 2027 B2B Buying Journey" (2026)
• Forrester: "The Future of B2B Buying Committees" (2026)
• Salesforce: "State of Sales Report 2027"
• Clari: "Deal Risk and Forecast Accuracy Benchmarks" (2026)
• Outreach: "The 2027 Sales Engagement Playbook"
• SaaStr: "Why Longer Sales Cycles Require New Coaching Models" (2026)
• McKinsey: "The AI-Enabled Sales Rep: 2027 Trends"

Bottom Line

The most effective open-ended questions in 2027 force reps to reconstruct their deal narrative, expose gaps in MEDDPICC fields, and articulate how they're using (or ignoring) AI tools like Gong and Clari. By targeting pipeline velocity, buying committee dynamics, and AI-human balance, these questions transform coaching from generic advice to actionable diagnostics. Use the decision tree to select the right question for each symptom, and measure success via Salesforce field completion and Clari forecast accuracy.

*Open-ended questions for coaching struggling sales reps in 2027: MEDDPICC, Gong, Clari, and pipeline velocity diagnostics.*