How Winning Teams Close the Performance Gap with Clear, Consistent Coaching

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    Sales coaching sounds simple enough. A manager listens to calls, gives feedback, and helps reps improve. Reality is rarely that easy. Some managers coach often. Others struggle to make the time. Some explain what works and why. Others leave reps unsure of what to change.

    Hybrid work makes things harder. Reps sell at different hours, from different places, in different ways. Managers hear a few calls a week, but most selling happens without anyone listening in. Enablement leaders get caught in the middle, wondering if coaching is helping or if they just hope it is.

    All that uncertainty creates a problem behind the scenes. Coaching depends on access and timing. And reps with more engaged managers improve faster than those without.

    To close the performance gap, teams need a coaching system that’s consistent, accessible, and measurable. And that need is driving many organizations toward AI-powered coaching.

    A shared definition of what good likes like

    Inconsistent coaching pulls teams in different directions. Managers focus on different priorities, successful approaches are siloed, and reps lose confidence because they’re not sure what really matters. And in fast-moving markets, every misstep weakens execution and gives competitors a chance to pull ahead.

    Coaching should work the same way for every rep, every manager, every time. And that starts with a shared skill framework so managers can tie feedback to the same behaviors and expectations across teams.

    Tools like Highspot’s AI Role Play help by giving reps a consistent way to practice before real buyer conversations. Every rep responds to the same scenarios, buyer objections, and product moments.

    Feedback follows the same criteria. Was the rep’s message clear? Did they ask the right questions? How did they handle objections? Did they use approved language? Recommendations are role-based, and coaching Agents draw from real meetings and results to reinforce winning behaviors.

    This consistency is especially critical in fast-moving environments. At Visa, sellers use AI-powered practice and feedback to prepare for frequent product launches. In many cases, reps can refine a sales pitch in as little as 30 minutes, while leaders maintain a consistent standard across a global sales force.

    Coaching available anytime, anywhere

    Traditional coaching depends on manager availability, but managers rarely distribute time evenly. AI eases that constraint by supporting reps between live sessions and reducing manager workload.

    With AI, reps can practice when it works for them, and they get feedback immediately. Pulling from real selling activity, the system highlights strengths, flags gaps, and suggests where to focus next. Managers stay involved, but they don’t have to listen to every recording or run every practice session.

    As a result, coaching reaches more reps without adding headcount. Reps develop skills between pipeline reviews. And practice becomes routine instead of something reps do sporadically.

    Measurable progress

    AI also empowers teams to track coaching over time. After all, without a clear way to evaluate long-term coaching, how can sales and enablement leaders know if it works?

    Highspot captures which skills reps practice, how often they use those skills, and where improvement trails off. With insights unified across calls, meetings, and content engagement, leaders can easily see which behaviors are improving and which ones need attention. Managers can search for specific gaps instead of replaying entire calls. Enablement teams can point to real behavior changes tied to coaching programs, rather than participation metrics alone.

    At Paycor, AI-powered coaching helped standardize how a new sales team practiced and improved core selling skills. As coaching became more consistent and visible, the organization saw a 22% increase in average deal size, a 15% improvement in win rate, and a 23% boost in quota attainment.

    With AI, teams start looking at trends, like which objections continue to slow deals, which messages land more consistently, and which reps improve after dedicated practice. Coaching Agents uncover these patterns and encourage proven behaviors so progress is easier to see, repeat, and explain.

    A simple shift that changes everything

    High-performing teams systematize coaching. They don’t leave it to chance. With Highspot, companies turn coaching into a repeatable process that’s easier to support, track, and improve over time.

    To learn more about AI-powered coaching, watch:

    Annie Lizenbergs

    Annie Lizenbergs is a seasoned professional with a diverse background in sales and revenue enablement. She has held leadership roles at prominent companies, including serving as Director of Sales Training at CareerBuilder, Affinitiv, and Quotient Technology Inc. Annie’s expertise spans executive alignment, enablement framework design, and GTM learning and development. Her strategic vision and leadership have been instrumental in scaling businesses and establishing strong market positions across the technology sector.

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