Plays/PlayPlay
Peer-led coaching
Each rep's strength is another rep's coaching plan. Run a recurring peer session where reps teach the skill they're best at.
What it is
A recurring session where reps coach each other. The leader maps each rep’s strongest skill against the team’s gaps, then pairs the rep who does something well with the reps who need it. The rep who teaches gets recognition and sharpens the skill further. The reps who learn get coaching from someone who does the job every day.
When to use it
- The leader’s coaching time is stretched across too many reps.
- Reps have clearly different strengths, for example one excels at discovery and another at outbound.
- You want to build a culture where reps share what works.
- You’re developing future team leads.
Steps
- List the skills that matter for your motion, such as prospecting, discovery, demo, negotiation and forecasting.
- Score each rep on each skill, using call reviews and ratios as evidence.
- Match each rep’s top skill with the reps who score lowest on it.
- Schedule a recurring peer session, for example every other week as part of the team meeting.
- Ask the teaching rep to bring a real example, such as a recorded call, an email or a deal plan, and walk through what they did and why.
- End each session with one specific behaviour the other reps will try that week.
- Check in at the next session on what happened when they tried it.
Good example
One rep consistently gets to the economic buyer early. In the peer session they play a recorded discovery call, pause at the moment they ask for the meeting, and explains the wording. The other reps each try the ask on their next two calls and report back two weeks later.
Weak example
The leader asks reps to “share best practices” with no structure. The most confident rep talks for twenty minutes about their approach in general terms. Nobody leaves with anything specific to try, and attendance drops after a few sessions.
How AI helps
- Finding strengths. Conversation intelligence can show which rep handles a given moment best, based on outcomes, which makes the pairing less subjective.
- Preparing the session. A model can find the strongest example clips from the teaching rep’s calls and draft a short summary of the technique.
- Tracking change. After the session, AI can check whether the target behaviour shows up in other reps’ calls.
Further reading
- Find team-level gaps first to decide which skills to pair.
- A call review rubric for scoring each rep’s strengths.
- The weekly team rhythm, where the peer session fits.