Skip to main content

Whether you’re looking for quick answers or in-depth guidance, our resources are here to assist you effectively.

Prospect Qualification with AI Teammate

Qualifying prospects accurately and efficiently is a foundational skill in sales, yet it's often a time-consuming manual process. SiftHub's AI Teammate automates this critical task by instantly analyzing prospect data against your ideal customer profile (ICP) and chosen sales frameworks to provide actionable insights. This enables your sales team to focus on high-potential opportunities, reduce time spent on dead-end leads, and drive more meaningful conversations.

Overview

The Prospect Qualification intent is a specialized workflow designed to provide a comprehensive, data-backed overview of a deal's health and potential.

What it Does

The AI instantly evaluates whether a prospect fits your client’s ICP, where they stand in a sales framework (default is MEDDICC), and the competitive context, recommending the right next moves. It works by sifting through all relevant information in connected sources like calls, notes, and internal documents.

Qualify Prospect - Support article.gif 

Accessing this Intent 

To use this intent, simply navigate to the AI Teammate section within your SiftHub account. From there, you can either select "Prospect Qualification" from the pre-defined intents or type a query that triggers the workflow.

Key Outputs

When you run the Prospect Qualification intent, you receive a detailed, actionable analysis, broken down into the following key outputs:

  • ICP Fit: A clear verdict on whether the prospect is a match or a mismatch for your ideal customer profile, complete with rationale based on data points such as industry, company size, tech stack, and use-case fit.
  • Framework Score: An evaluation against a sales framework, with the default being MEDDICC. It provides a per-pillar score and supporting evidence snippets for each component (e.g., Metrics, Economic Buyer, Decision Criteria).
  • Custom Frameworks: The platform is flexible, allowing you to easily substitute your client's custom scoring rubric or weights without needing to change the underlying data schema.
  • Competitive Landscape: An assessment of likely competitors in the deal, an explanation of their relevance, and suggested strategies for winning or losing against them.
  • Deal Risks & Mitigations: Identifies concrete risks associated with the deal (e.g., lack of access to an economic buyer, unclear success criteria) and pairs them with specific, actionable mitigation steps.
  • Buying Signals: Extracts and highlights positive or negative signals from all available sources, such as call recordings and emails. This includes cues about urgency, budget, and project timelines.
  • Recommended Next Steps: A prioritized checklist of actions for the rep, such as "introduce a Sales Engineer" or "validate metrics with the head of procurement," complete with suggested owners and timing.

How it Works

The AI Teammate's intelligence is powered by several key processes:

  1. Evidence Retrieval: The system automatically retrieves relevant information from all connected sources, including call transcripts, notes, and internal documents.
  2. Entity & Cue Extraction: It extracts key entities and cues, such as the names of key roles, specific metrics, timelines, and identified blockers or priorities.
  3. Model Scoring & Alignment: Using these extracted cues, the AI scores and aligns the prospect data against your predefined ICP and the chosen sales framework. The process is fully transparent, with transparent citations that link back to the exact source moments.
  4. Competitor Inference: The AI identifies potential competitors based on mentions of other tools, integration stack details, and feature requests. It then maps out counter-positions to help the rep prepare.

Best Practices

  • Keep Your Data Updated: Ensure your CRM and other connected knowledge sources are up-to-date with the latest call notes, emails, and internal documents for the most accurate analysis.
  • Use the Scorecard as a Guide: The one-page scorecard is an invaluable tool for quickly assessing deal health and planning your next moves.
  • Iterate and Refine: Use the framework scores as a starting point. If you disagree with a score, dig into the evidence snippets provided by the AI to understand the reasoning.

Customize Your Framework

If your organization uses a different qualification framework, work with your Customer Success Manager to to reflect your team's specific criteria for your account.