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How do you coach reps to ask better questions using call data?

How do you coach reps to ask better questions using call data?
📖 2,459 words🗓️ Published Jun 20, 2026
Direct Answer

Coach question quality by making the call recording the coaching unit, not the rep's memory. Pull the actual transcript from Gong or Chorus, count the questions the rep asked, sort them into open vs. closed, and put that data in front of the rep before you say a word. Gong Labs call research consistently shows that top performers ask more — and more diverse — questions, with the strongest discovery calls landing in roughly the 11–14 question range and weighting heavily toward open-ended, problem-centered questions. The move is to set a question scorecard (count, open-vs-closed ratio, talk-track tie-ins), review one real call per week against it, and have the rep self-diagnose from the data before you coach. This is a skill that compounds: better questions surface pain, build the business case, and shorten 2027's longer, committee-driven cycles.

Why This Happens — Diagnose Before You Coach

Reps ask weak questions for four very different reasons, and the fix is different for each. Treat "ask better questions" as a single problem and you will waste both your time and theirs.

Use the recording to route the symptom to the real cause. The data does the diagnosing so the conversation stays about behavior, not opinion.

The Coaching Conversation

Run this as a 1:1 with the transcript open on a shared screen. Lean on the GROW model — Goal, Reality, Options, Will — so the rep does the thinking and owns the fix. Bold lines are the exact words to use.

Goal. Frame the session around their number, not yours.

> "Your discovery-to-demo conversion is sitting at about 35 percent. The reps clearing 55 are asking more, and better, questions. What would landing more second meetings be worth to your quota this quarter?"

Reality — let the data, not your opinion, be the mirror. Open the Gong call and show the question count.

> "On the Acme call you asked four questions, and three of them were closed — yes/no. Before I share what I noticed, what do you hear when you listen back to your own discovery here?"

Then make it concrete with a real moment from the recording:

> "At the seven-minute mark the buyer said 'renewals are a headache.' What did you ask next? … Right — you went to a feature. What could you have asked there to find out why renewals are a headache and what it's costing them?"

Options — generate, don't prescribe. You want three to five better questions in their own words.

> "Let's build your top three discovery questions for this segment. What's one open question that gets a CFO to quantify the cost of the status quo? … Good. What's a question that surfaces who else has to sign off?"

If they stall, model one, then hand it back: "Here's one I use — 'Walk me through what happens today when a renewal slips.' Now make that one yours."

Will — get a commitment that is measurable. End with a behavior, a number, and a date.

> "On your next three discovery calls, what's your target for open questions, and how will we check it?"

Land on something like: ask at least 10 questions per discovery call, at least 7 open, and one cost-of-inaction question — measured off the next three Gong recordings, reviewed together Friday.

The Coaching Plan / Cadence

Question skill is built by reps, drilled weekly, and verified on recordings — not by a one-time pep talk. Run a steady loop.

Drills & Role-Play

What to Measure

Track leading indicators that prove the behavior is changing — long before quota moves.

Common Mistakes Managers Make

How to Build a Question Scorecard from Call Data

A question scorecard turns subjective coaching into an objective, repeatable process. Start by pulling the transcript from your conversation intelligence tool (Gong, Chorus, or even a manual review). Create a simple three-column table: Question Type, Count, and Impact. Categorize every question the rep asked into one of three buckets: open-ended (e.g., “What’s driving this initiative?”), closed-ended (e.g., “Are you using Salesforce?”), and leading (e.g., “Don’t you think our solution would help?”). Aim for a ratio of at least 70% open-ended to 30% closed-ended, based on the typical pattern of top-performing reps in Gong’s benchmark data. Next, add a column for Question Sequence—note where questions cluster. If the rep asks three closed questions in a row, that’s a red flag for shallow discovery. Finally, assign a score: 1 point for each open-ended question, 0.5 for closed, and 0 for leading. A strong discovery call should score 10–15 points total, depending on call length (30–45 minutes). Share this scorecard with the rep before the coaching session, so they see the data first. This removes defensiveness and shifts the conversation from “you didn’t ask good questions” to “let’s look at why your open-ended count dropped in the second half.”

Using Call Data to Identify Question Gaps in Real Time

Call data isn’t just for post-call reviews—it can flag gaps during the call itself. Most conversation intelligence tools offer real-time alerts or post-call summaries that highlight when a rep hasn’t asked a question in a specific category, like budget, timeline, or decision criteria. For example, if the transcript shows the rep spent 10 minutes on features but never asked “What’s your timeline for solving this?” that’s a coaching moment. Create a list of 5–7 essential question categories based on your sales process: pain, impact, authority, budget, timeline, competition, and success criteria. After each call, run a quick audit: did the rep hit at least 3 of these 7 categories? If not, the data points to a knowledge gap—the rep doesn’t know the framework. Coach them by role-playing a call where you stop at the 5-minute mark and ask, “What question did you miss here?” Use the transcript as a visual aid. Over 4–6 weeks, track the category coverage per rep. A jump from 2 to 5 categories covered signals real progress. This approach ties coaching directly to call data, not just intuition.

How to Use Call Data to Break the “Safe Question” Habit

Many reps default to safe, closed questions because they fear awkward silence or pushback. Call data reveals this pattern clearly: look for clusters of closed questions right after a prospect gives a vague answer or a short “yes” or “no.” For instance, if the transcript shows the rep asks “Is this a priority?” and the prospect says “Yes,” then the rep immediately moves to a feature question (“Do you need reporting?”), that’s a missed opportunity. The data shows the rep didn’t probe deeper. To coach this, pull three calls where the rep asked a closed question and the prospect gave a one-word answer. In the coaching session, highlight those moments and ask the rep to rewrite the question as an open-ended follow-up. For example, “Is this a priority?” becomes “What makes this a priority now?” Practice this with a timer: give the rep 30 seconds to turn any closed question from the transcript into an open one. Track the improvement over 10 calls—look for a reduction in closed-question clusters from 5 per call to 2 or fewer. This builds confidence through repetition, not just theory.

FAQ

How many questions should a rep ask on a discovery call? There is no universal number, but Gong Labs call analysis points to top discovery calls clustering around 11–14 questions, weighted toward open-ended and problem-focused. Use it as a guardrail, not a quota — quality and diversity of questions matter more than raw count.

Should I share the call data with the rep or just give feedback? Share the data first and let them self-diagnose. When the rep counts their own open vs. closed questions on a real Gong transcript, the gap becomes their conclusion, not your criticism, and they own the fix.

What if the rep gets defensive about being recorded? Reframe recordings as the rep's own film room, not surveillance. Watch a top performer's call first so the rep sees the bar, and only ever review one call per session focused on one improvement, never a highlight reel of mistakes.

Open or closed questions — which should I push? Push open, problem-centered questions for discovery ("walk me through…", "what happens when…", "what's that costing you?"). Closed questions still have a place to confirm and gain commitment, but a discovery call dominated by closed questions usually means weak pain and a weak business case.

How long until I see results from question coaching? Behavior on reviewed calls should shift within two to four weeks because it is highly coachable. Conversion and win-rate are lagging indicators — give them a full quarter to follow the leading behavior.

What if more questions don't help — is it ever not a coaching problem? Yes. If the rep asks strong questions but still loses, the issue may be wrong-fit territory, a comp or process problem, or a genuine performance issue that needs a PIP rather than more coaching. Honest diagnosis up front saves everyone the wasted cycle.

Bottom Line

Make the call recording the coaching unit. Count the rep's questions, split open vs. closed, and let the Gong or Chorus data do the diagnosing so the 1:1 stays about behavior. Run a weekly GROW conversation off one real call, drill the questioning skill, and verify it on the next recording. Better questions are the most coachable, highest-leverage skill on your team.

flowchart TD A["Symptom: rep asks too few or low-quality questions"] --> B{Pull the call: count questions, open vs closed} B -->|Few questions, mostly closed| C{Does rep know what a strong open question sounds like?} C -->|No| D["Skill gap: teach + model open, problem-centered questions"] C -->|Yes| E{Does rep ask them, then retreat under pushback?} E -->|Yes| F["Will gap: build confidence, drill handling silence"] E -->|No| G{Are questions generic, not industry-specific?} G -->|Yes| H["Knowledge gap: enablement on buyer world"] G -->|No| I{Is the call structured as a demo, not discovery?} I -->|Yes| J["System gap: fix meeting structure, not the rep"] I -->|No| K["Right-fit issue: may need PIP, not more coaching"]
flowchart LR A["Observe: pull weekly call from Gong"] --> B["Diagnose: score questions vs scorecard"] B --> C["Coach: GROW 1:1 on one call"] C --> D["Practice: role-play next 2 deals"] D --> E["Measure: question count, open ratio, conversion"] E --> F["Reinforce: praise + one improvement"] F --> A

Related on PULSE

Sources

*Sales coaching for asking better questions — how to coach reps to improve discovery questions using call data, sales manager coaching guide, rep questioning framework, and a call-data coaching playbook for 2027.*

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