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

Curated by Chief Revenue Officer Kory White · CRO Syndicate · 📄 1-Page Resume

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📅 Published Jun 23, 2026 · 7 min read

Direct Answer

In the 2027 RevOps reality—where AI copilots handle 40% of rep admin, buying committees average 11 members, and cycles stretch 30% longer—coaching a struggling rep requires questions that bypass surface symptoms (e.g., "I need more leads") and diagnose root causes in pipeline coverage, deal progression, and buyer alignment.

The most effective open-ended questions force the rep to reconstruct their deal narrative, expose gaps in their MEDDPICC framework, and reveal how they're leveraging (or ignoring) AI tools like Gong or Clari. These questions should target three layers: *individual call performance*, *pipeline hygiene*, and *buying committee dynamics*—each mapped to specific metrics from Salesforce or Outreach to avoid generic advice.

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."

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

flowchart TD A[Rep struggling?] --> B{Identify primary symptom} B --> C[Low pipeline volume] C --> D[Ask Q3 about pipeline risk] D --> E{Rep has specific actions?} E -->|Yes| F[Coach on prioritization] E -->|No| G[Review Salesforce pipeline hygiene] B --> H[Deals stuck in late stage] H --> I[Ask Q2 about champion alignment] I --> J{Champion consistent?} J -->|Yes| K[Probe MEDDPICC gaps] J -->|No| L[Coach on stakeholder mapping] B --> M[High loss rate in discovery] M --> N[Ask Q1 about call reconstruction] N --> O{Rep names specific pain?} O -->|Yes| P[Validate with Gong transcript] O -->|No| Q[Role-play discovery with AI copilot] B --> R[Rep ignoring AI recommendations] R --> S[Ask Q4 about AI copilot override] S --> T{Rep has rationale?} T -->|Yes| U[Coach on AI-human balance] T -->|No| V[Review Salesloft Rhythm suggestions]

Mermaid Diagram: Coaching Feedback Loop

flowchart LR A[Coaching Session] --> B[Ask 1-2 open-ended questions] B --> C[Rep articulates deal narrative] C --> D{Coach identifies gap?} D -->|Yes| E[Probe with follow-up question] E --> F[Rep revises action plan] F --> G[Rep executes in Salesforce/Outreach] G --> H[Gong/Clari track behavior change] H --> I[Next session: review metrics] I --> A D -->|No| J[Validate rep's insight] J --> K[Reinforce with positive feedback] K --> L[Set target for next deal stage] L --> G

FAQ

What if the rep's answer is "I don't know" to every question? Start with the simplest question (Q1) and ask them to open Gong and replay the last 5 minutes of their call. If they still can't answer, they may be over-reliant on AI summaries. Schedule a 30-minute "call autopsy" session where you both listen to the raw recording together—this builds their listening skills.

How often should I use these questions in a coaching cadence? Pick 1-2 per session, not all seven. In 2027, Salesloft data shows that reps who receive focused coaching on 2 specific behaviors improve win rates by 18% vs. 5% for generic sessions. Rotate questions based on the Clari trend report for that rep (e.g., if they have a high slip rate, use Q3).

Can these questions work for remote or hybrid teams? Yes—use them in a 30-minute Zoom session with screen sharing. Ask the rep to pull up their Salesforce pipeline and Gong call list. The questions are designed to be answered with data visible in real-time, which works for any work model.

Forrester notes that remote coaching requires more structured questions to avoid vague answers.

What if the rep lies about their pipeline? Use Q7 as a trust-builder first. If you suspect dishonesty, cross-reference their answers with Clari forecast accuracy data. In 2027, most Salesforce instances have audit logs—but don't use them punitively.

Instead, frame it as "let's look at the data together to find the truth." This reduces defensiveness.

How do I measure if these questions are working? Track three metrics over 60 days: (1) MEDDPICC field completion rate in Salesforce, (2) call-to-close ratio from Gong analytics, and (3) forecast accuracy in Clari. If the rep's win rate improves by 10% or more, the questions are effective.

If not, switch to a different set of questions focused on activity volume.

Sources

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.*

Keep reading

### Direct Answer

In the 2027 RevOps reality—where AI copilots handle 40% of rep admin, buying committees average 11 members, and cycles stretch 30% longer—coaching a struggling rep requires questions that bypass surface symptoms (e.g., "I need more leads") and diagnose root causes in pipeline coverage, deal progression, and buyer alignment. The most effective open-ended questions force the rep to reconstruct their deal narrative, expose gaps in their MEDDPICC framework, and reveal how they're leveraging (or ignoring) AI tools like **Gong** or **Clari**. These questions should target three layers: *individual call performance*, *pipeline hygiene*, and *buying committee dynamics*—each mapped to specific metrics from **Salesforce** or **Outreach** to avoid generic advice.

## 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
flowchart TD
    A[Rep struggling?] --> B{Identify primary symptom}
    B --> C[Low pipeline volume]
    C --> D[Ask Q3 about pipeline risk]
    D --> E{Rep has specific actions?}
    E -->|Yes| F[Coach on prioritization]
    E -->|No| G[Review Salesforce pipeline hygiene]
    B --> H[Deals stuck in late stage]
    H --> I[Ask Q2 about champion alignment]
    I --> J{Champion consistent?}
    J -->|Yes| K[Probe MEDDPICC gaps]
    J -->|No| L[Coach on stakeholder mapping]
    B --> M[High loss rate in discovery]
    M --> N[Ask Q1 about call reconstruction]
    N --> O{Rep names specific pain?}
    O -->|Yes| P[Validate with Gong transcript]
    O -->|No| Q[Role-play discovery with AI copilot]
    B --> R[Rep ignoring AI recommendations]
    R --> S[Ask Q4 about AI copilot override]
    S --> T{Rep has rationale?}
    T -->|Yes| U[Coach on AI-human balance]
    T -->|No| V[Review Salesloft Rhythm suggestions]
```

## Mermaid Diagram: Coaching Feedback Loop

```mermaid
flowchart LR
    A[Coaching Session] --> B[Ask 1-2 open-ended questions]
    B --> C[Rep articulates deal narrative]
    C --> D{Coach identifies gap?}
    D -->|Yes| E[Probe with follow-up question]
    E --> F[Rep revises action plan]
    F --> G[Rep executes in Salesforce/Outreach]
    G --> H[Gong/Clari track behavior change]
    H --> I[Next session: review metrics]
    I --> A
    D -->|No| J[Validate rep's insight]
    J --> K[Reinforce with positive feedback]
    K --> L[Set target for next deal stage]
    L --> G
```

## FAQ

**What if the rep's answer is "I don't know" to every question?**  
Start with the simplest question (Q1) and ask them to open **Gong** and replay the last 5 minutes of their call. If they still can't answer, they may be over-reliant on AI summaries. Schedule a 30-minute "call autopsy" session where you both listen to the raw recording together—this builds their listening skills.

**How often should I use these questions in a coaching cadence?**  
Pick 1-2 per session, not all seven. In 2027, **Salesloft** data shows that reps who receive focused coaching on 2 specific behaviors improve win rates by 18% vs. 5% for generic sessions. Rotate questions based on the **Clari** trend report for that rep (e.g., if they have a high slip rate, use Q3).

**Can these questions work for remote or hybrid teams?**  
Yes—use them in a 30-minute Zoom session with screen sharing. Ask the rep to pull up their **Salesforce** pipeline and **Gong** call list. The questions are designed to be answered with data visible in real-time, which works for any work model. **Forrester** notes that remote coaching requires more structured questions to avoid vague answers.

**What if the rep lies about their pipeline?**  
Use Q7 as a trust-builder first. If you suspect dishonesty, cross-reference their answers with **Clari** forecast accuracy data. In 2027, most **Salesforce** instances have audit logs—but don't use them punitively. Instead, frame it as "let's look at the data together to find the truth." This reduces defensiveness.

**How do I measure if these questions are working?**  
Track three metrics over 60 days: (1) **MEDDPICC field completion rate** in **Salesforce**, (2) **call-to-close ratio** from **Gong** analytics, and (3) **forecast accuracy** in **Clari**. If the rep's win rate improves by 10% or more, the questions are effective. If not, switch to a different set of questions focused on activity volume.

## Sources

- [Gong Labs: "The Anatomy of a Winning Sales Call" (2026)](https://www.gong.io/labs/anatomy-winning-call/)
- [Gartner: "The 2027 B2B Buying Journey" (2026)](https://www.gartner.com/en/sales/insights/b2b-buying-journey)
- [Forrester: "The Future of B2B Buying Committees" (2026)](https://www.forrester.com/blogs/future-b2b-buying-committees/)
- [Salesforce: "State of Sales Report 2027"](https://www.salesforce.com/resources/research/state-of-sales/)
- [Clari: "Deal Risk and Forecast Accuracy Benchmarks" (2026)](https://www.clari.com/resources/deal-risk-benchmarks)
- [Outreach: "The 2027 Sales Engagement Playbook"](https://www.outreach.io/resources/sales-engagement-playbook)
- [SaaStr: "Why Longer Sales Cycles Require New Coaching Models" (2026)](https://www.saastr.com/longer-sales-cycles-coaching-models/)
- [McKinsey: "The AI-Enabled Sales Rep: 2027 Trends"](https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/ai-enabled-sales-rep)

## 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.*

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