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How to Re-certify your Medical Device Reps Faster with AI Role-plays

3 minutes read


When you have to re-certify your reps, what springs to your mind? Perhaps again endless product knowledge training, memorizing device specs, and prepping for the final license screening.

To effectively sell and nurture product knowledge reps need to articulate messaging correctly. But how can organizations achieve this transformation?

The answer lies in leveraging AI role-play in medical device sales training.

The Traditional Re-certification Process

Typically, re-certifying medical device reps involves several steps:

  1. In-person Training: Reps often need to attend workshops or seminars, which can be costly and logistically challenging.

  2. Exams and Assessments:Written tests and practical exams assess the reps’ knowledge and skills.

  3. Role-playing Scenarios: Reps engage in mock pharma sales scenarios with trainers to demonstrate their competency.

📌Read more around the challenges in our Whitepaper: State of AI Coaching in Pharma

How AI can Help Re-certify your Medical Devices Sales Rep?

To tackle these challenges and ensure successful re-certification, pre-training is key. Here's how AI role-plays can create an effective training experience:

Mastering Product Knowledge

Gone are the days of tedious in-person onboarding or lengthy training videos. To expedite, AI role-plays offer comprehensive insights into product portfolios, usage techniques, and pharma sales strategies.

Incorporating gamified, bite-sized learning further ensures knowledge retention. This benefits both new and experienced reps, preparing them for interactions with HCPs.

Microlearning

Sales Gamification

AI Coaching

Pre-Certification Practice

AI role-play refines rep’s communication skills and product pitches. These sessions let reps practice with an HCP persona. They can do detailing, share presentations, handle objections, and hone selling techniques remotely. Feedback comes directly from the AI coach.

Sales Role-play

Simplifying Regulatory Compliance

The medical industry is highly regulated. Reps need general and role-specific knowledge of federal and state regulations. Sales reps must keep up with licensure and registration.

  • Use AI role-plays to simulate real-world scenarios and ensure reps understand and apply regulatory requirements.

Saves Trainer’s Time and Accelerates Re-certification

First impressions impact how HCPs view your brand. AI role-plays enhance rep’s confidence, saves time and speed up re-certification by:

  • Practicing Specific Messaging: AI role-play helps reps master legally approved product phrases for re-certification.

  • Perfecting Touchpoints and Responses:AI role-play simulates client interactions, refining skills for re-certification.

With AI role-plays, reps get immediate feedback and a scorecard on their pitch, allowing them to continuously refine their skills.

Translating Knowledge into Practice

AI role-plays help reps apply their theoretical knowledge in realistic scenarios. For example, they can practice demonstrating the use of a new surgical instrument to a physician or handling questions about the functionality of a diagnostic device.

This continuous practice and feedback loop is crucial for meeting re-certification requirements and excelling in real-world medical device sales situations.

Bottom Line

Traditionally,re-certification demands significant manual effort. SmartWinnr AI offers each rep a bespoke learning experience, resulting in tangible sales improvements. Our AI-powered platform facilitates two-way AI role-play simulations, provides real-time feedback, and offers coaching sessions to make your reps qualify their licenses at ease. To know more register here, or if you have any queries, drop us a line at contact@smartwinnr.com


Want to streamline your sales role play? Read below articles

8 Sales Role-play Scenarios that will help Prepare your Sales Team to handle any sales situation

Upskill Your Sales Team with AI Role Play Revolution

5 Reasons to Use AI Role Play in Your Sales Process

Published on Thu Aug 29 2024

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