Summary

Hyperbound is designed to adapt to each customer’s sales strategy, team structure, and training needs. To unlock the full potential of its AI-driven roleplays and performance scorecards, there are just two core inputs needed from your customer: realistic call scenarios and custom scorecards.

Key Setup Inputs from Your Customer

1. Realistic Call Scenarios

To make training impactful, customers need to define the types of real-world conversations their reps typically face. These can include:

• Call types: Cold call, warm call, discovery, renewal, objection handling

• Persona details: Who is the rep speaking to (e.g., VP of Sales, IT buyer, Procurement lead)?

• Industry context: What kind of companies are they targeting (e.g., SaaS, healthcare, finance)?

• Sales stage: Is the conversation early-stage prospecting or late-stage negotiation?

Example:
A VP of Sales at InfoTech, an HR SaaS company with 50 reps, is searching for a new sales enablement solution. She’s already evaluated a few vendors, including Hyperbound, and is now comparing functionality and pricing.

This level of detail allows the AI bots to behave more like real buyers—challenging reps and simulating authentic conversations.

2. Custom Scorecards

Scorecards are used to evaluate roleplays and real calls. To be effective, they should reflect how the customer measures success in their sales calls.

Scorecards may include criteria such as:

• Clarity and confidence

• Objection handling

• Use of key messaging

• Discovery and qualification questions

• Transition to next steps

These can be built from scratch or adapted from templates provided by Hyperbound.

Why These Inputs Matter

If you have any other questions, feel free to reach out to the HyperBound team, either via the chat button, or email us at help@hyperbound.ai.