5-15 min
Building a Discovery Scorecard
Building a Discovery Scorecard in Attention
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Building a Discovery Scorecard in Attention
Step 1: Define Your Discovery Framework
First, decide what methodology you want to track. Common frameworks include:
- MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion)
- BANT (Budget, Authority, Need, Timeline)
- SPICED (Situation, Pain, Impact, Critical Event, Decision)
- Custom (Your own criteria)
Step 2: Create Scorecard Items
A good Discovery Scorecard typically includes 6-12 items. Here are examples:
Essential Discovery Items:
- Pain/Problem Identification
- Did the rep uncover specific business pain points?
- Evidence: Direct quotes about challenges
- Current State/Situation
- Did the rep understand how they currently solve this problem?
- What tools/processes are they using today?
- Impact/Implications
- Did the rep quantify the cost of the problem?
- What happens if they don't solve it?
- Budget Discussion
- Was budget or investment range discussed?
- Who controls the budget?
- Decision Process
- Who else needs to be involved?
- What's the approval process?
- Timeline/Urgency
- When do they need a solution?
- Is there a critical event driving timing?
- Authority/Stakeholders
- Are we speaking with a decision maker?
- Who else influences the decision?
- Success Metrics
- How will they measure success?
- What does a win look like?
- Next Steps Confirmed
- Were clear next steps established?
- Did both parties commit to actions?
- Champion Identified
- Is there an internal advocate?
- Will they help navigate the organization?
Step 3: Configure Scoring
For each item, decide:
- Type: Pass/Fail, Numeric (1-5), or Descriptive
- Weight: How important is this item? (e.g., identifying pain might be weighted higher)
- Criteria: What constitutes a pass vs. fail?
Example Scoring:
- Pass/Fail: Did they discuss budget? Yes/No
- Numeric (1-5): How well did they uncover pain?
- 1 = No pain discussed
- 3 = Surface-level pain mentioned
- 5 = Deep, quantified pain with business impact
Step 4: Add Detailed Instructions
For each scorecard item, provide clear guidance:
Example for "Pain Identification":
Look for evidence that the rep:
- Asked open-ended questions about challenges
- Probed deeper with follow-up questions
- Got the prospect to articulate specific problems
- Avoided leading questions or pitching too early
Pass = At least 2 specific pain points clearly articulated by prospect
Fail = Generic problems or rep did most of the talking
Step 5: Set Up in Attention
- Navigate to Scorecards in your Attention dashboard
- Create New Scorecard
- Title: "Discovery Call Scorecard"
- Interaction Type: Select "Calls" or "All"
- Enable for specific teams or all teams
- Add Each Item:
- Click "Add Item"
- Enter title (e.g., "Pain Identification")
- Select type (Pass/Fail, Numeric, etc.)
- Set weight/importance
- Add detailed criteria in the instructions field
- Use expert mode for advanced AI prompting if needed
- Configure AI Analysis:
- Add detailed instructions for how AI should evaluate each item
- Provide examples of what "good" looks like
- Specify what evidence to look for in transcripts
- Test & Refine:
- Run the scorecard on 5-10 past discovery calls
- Review the AI's scoring accuracy
- Adjust criteria and instructions as needed
Step 6: Enable Notifications
Set up Slack notifications for:
- Low scorecard scores (coaching opportunities)
- Missing critical items (e.g., no budget discussion)
- Exceptional scores (celebrate wins!)
Sample Discovery Scorecard Template
Here's a starter template you can customize:
Best Practices:
Start simple - Begin with 5-7 core items, add more later
Align with your process - Match your existing sales methodology
Make it actionable - Each item should drive specific behaviors
Review regularly - Check scorecard results weekly with reps
Iterate - Refine criteria based on what correlates with wins
Use for coaching - Not punishment, but development
Advanced Tips:
- Create different scorecards for different call types (Discovery vs. Demo vs. Negotiation)
- Track trends over time - Is the team improving?
- Correlate with outcomes - Do higher scores predict closed deals?
- Use evidence field - AI will pull exact quotes showing why it scored each item
Ready to learn more?
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