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Scaling Sales Performance with 100% Call Coverage

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Scaling Sales Performance with 100% Call Coverage

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

What is Avoma?

Avoma Scorecards & Dashboards

Workflows before Avoma Scorecards

—> Manual feedback with the help of comments feature.

What is Avoma?

Avoma Scorecards & Dashboards

Workflows before Avoma Scorecards

—> Manual feedback with the help of comments feature.

Watch Product Video

Watch my intro + this case-study

Problem Statement

The Challenges

  • Managers ofter find it difficult to evaluate their teams effectively.

  • Coaching their team manually, by adding comments is time-consuming and inconsistent process.

No Standardisation

  • There is no standardised yet flexible process to evaluate team members.

  • This makes it harder to identify coaching opportunities, leaving team members without clear guidance for improvement.

Solution

Coaching with Scorecards

  • Avoma Scorecards standardise evaluations enabling actionable coaching.

  • AI scoring ensures consistency, while Manual scoring allows personalised feedback.

Empowering with Dashboards

  • Dashboards offer a clear view of performance trends.

  • Dashboards also provids granular insights for teams in multiple ways.

  • Dashboard helps identify strengths, pinpoint gaps, and drive focused coaching for continuous improvement

Problem Statement

The Challenges

  • Managers ofter find it difficult to evaluate their teams effectively.

  • Coaching their team manually, by adding comments is time-consuming and inconsistent process.

No Standardisation

  • There is no standardised yet flexible process to evaluate team members.

  • This makes it harder to identify coaching opportunities, leaving team members without clear guidance for improvement.

Solution

Coaching with Scorecards

  • Avoma Scorecards standardise evaluations enabling actionable coaching.

  • AI scoring ensures consistency, while Manual scoring allows personalised feedback.

Empowering with Dashboards

  • Dashboards offer a clear view of performance trends.

  • Dashboards also provids granular insights for teams in multiple ways.

  • Dashboard helps identify strengths, pinpoint gaps, and drive focused coaching for continuous improvement

Design Process

Understanding & Research

  • Worked closely with Stakeholders to define scorecard objectives.

  • Listened to customer conversations to understand their problems

Ideate & Design

Concept Ideation —> Paper wireframes —> Information Architecture —> User flows —> Concept finalisation —> High-Fidelity designs —> Visual elements

Feedback and Iteration

  • Feedback iterations, User testing, alignment with workflows.

  • Ensured solutions addressed real-world challenges.

Collaboration

with product managers, engineers, data scientists, sales teams, etc.

QA

Design QA —> ensuring smooth implementation.

Roles & Timeline

Roles

UX & Product Designer

Timeline

Phase 1: Initial Research

2 weeks

Phase 2: Manual scorecards configuration & scoring conversations

2 weeks

Phase 3: AI Scorecards configuration & Auto-scoring rule engine

2 weeks

Phase 4: Scorecards dashboards

4 weeks

Tools

Figma | Miro | Notion

Design Process

Understanding & Research

  • Worked closely with Stakeholders to define scorecard objectives.

  • Listened to customer conversations to understand their problems

Ideate & Design

Concept Ideation —> Paper wireframes —> Information Architecture —> User flows —> Concept finalisation —> High-Fidelity designs —> Visual elements

Feedback and Iteration

  • Feedback iterations, User testing, alignment with workflows.

  • Ensured solutions addressed real-world challenges.

Collaboration

with product managers, engineers, data scientists, sales teams, etc.

QA

Design QA —> ensuring smooth implementation.

Roles & Timeline

Roles

UX & Product Designer

Timeline

Phase 1: Initial Research

2 weeks

Phase 2: Manual scorecards configuration & scoring conversations

4 weeks

Phase 3: AI Scorecards configuration & Auto-scoring rule engine

4 weeks

Phase 4: Scorecards dashboards

8 weeks

4 weeks

Tools

Figma | Miro | Notion

"AI operating system for Revenue Teams"

  • Manager-driven manual scorecards

  • Strong conversation analytics, but limited automated evaluation

  • Coaching depends heavily on manager time and interpretation

  • Manual and customizable scorecards

  • Some AI conversation insights, but scoring remains largely manual

  • Evaluation consistency varies across managers

Zoominfo

"The all‑in‑one AI platform for go‑to‑market teams"

Avoma aims..

  • AI-driven auto-scoring based on predefined coaching criteria

  • Consistent and objective evaluations across all calls

  • Instant coaching insights for reps after every conversation

  • Performance tracking over time for both reps and managers

  • Reduce manual effort and scale coaching across teams

"While Gong and Zoominfo rely primarily on manager-led evaluations, Avoma focuses on scalable, AI-driven coaching that delivers consistent, real-time performance insights."

Competitive Insights

"AI operating system for Revenue Teams"

  • Manager-driven manual scorecards

  • Strong conversation analytics, but limited automated evaluation

  • Coaching depends heavily on manager time and interpretation

  • Manual and customizable scorecards

  • Some AI conversation insights, but scoring remains largely manual

  • Evaluation consistency varies across managers

Zoominfo

"The all‑in‑one AI platform for go‑to‑market teams"

Avoma aims..

  • AI-driven auto-scoring based on predefined coaching criteria

  • Consistent and objective evaluations across all calls

  • Instant coaching insights for reps after every conversation

  • Performance tracking over time for both reps and managers

  • Reduce manual effort and scale coaching across teams

"While Gong and Zoominfo rely primarily on manager-led evaluations, Avoma focuses on scalable, AI-driven coaching that delivers consistent, real-time performance insights."

Competitive Insights

After analyzing 5.2 million meetings, we found out that — less than 1% of the sales calls are reviewed, despite having the right tools in place.

Data insights

Data insights

Users & their goals

The primary users of scorecards are managers & employees

Anyone who is Team Leader:

(Sales, Customer success, HR/ Operations Managers)

  1. Evaluate team performance, provide feedback & insights.

  1. Ensure members align with best practices and goals.

  2. Identify areas for training and development.

Anyone who is Employee

  1. Get coached & get direction to align with best practices

  2. Learn from peers or managers

Sarah

Sales Manager

15y in sales and coaching teams

Master’s in Business Administration

Goals

  • Ensure team follows sales methodology and meets targets.

  • Provide timely, data-driven coaching to improve rep performance.

  • Track team performance trends and identify skill gaps.

  • Maintain consistent evaluation and coaching across the team

Challenges

  • Spending excessive time manually reviewing calls.

  • Inconsistent or subjective performance evaluation.

  • Limited visibility into individual and team improvement over time.

  • Difficulty scaling coaching across a growing team.

John

Sales Representative

6y in sales

Bachelor’s in Business Administration

Goals

  • Get clear, AI-driven feedback to improve call performance.

  • Understand what works (top behaviors, talk patterns).

  • Track personal performance trends and progress over time.

  • Increase conversions and consistently achieve sales targets.

Challenges

  • Lack of timely, actionable coaching after calls.

  • Unclear reasons for lost deals or poor outcomes.

  • Time-consuming manual review of long call recordings.

  • Inconsistent or subjective feedback from managers.

User Persona

Sarah

Sales Manager

15y in sales and coaching teams

Master’s in Business Administration

Goals

  • Ensure team follows sales methodology and meets targets.

  • Provide timely, data-driven coaching to improve rep performance.

  • Track team performance trends and identify skill gaps.

  • Maintain consistent evaluation and coaching across the team

Challenges

  • Spending excessive time manually reviewing calls.

  • Inconsistent or subjective performance evaluation.

  • Limited visibility into individual and team improvement over time.

  • Difficulty scaling coaching across a growing team.

John

Sales Representative

6y in sales

Bachelor’s in Business Administration

Goals

  • Get clear, AI-driven feedback to improve call performance.

  • Understand what works (top behaviors, talk patterns, winning techniques).

  • Track personal performance trends and progress over time.

  • Increase conversions and consistently achieve sales targets.

Challenges

  • Lack of timely, actionable coaching after calls.

  • Unclear reasons for lost deals or poor outcomes.

  • Time-consuming manual review of long call recordings.

  • Inconsistent or subjective feedback from managers.

User Persona

Core Concept & Solution visualisation

Core Concept & Solution visualisation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Scorecards
Concepts

Scorecards concepts

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Information Architecture

Information Architecture

Avoma Scorecards & Dashboards

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Watch my intro + this case-study

User Flows

  1. Manager

  2. Member

  3. AI

User Flows

Avoma Scorecards & Dashboards

  1. Manager

  2. Member

  3. AI

Watch Product Video

Watch my intro + this case-study

Wireframes

Wireframes

Avoma Scorecards & Dashboards

Made in Balsamiq

Watch Product Video

Watch my intro + this case-study

Scorecard
Creation

Scorecard Creation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Scorecard in Conversation

Scorecard in Conversation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard

"Overview"

Dashboard
"Overview"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard

"Members Performance"

Dashboard
"Members Performance"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard

"Scorecards Performance"

Dashboard
"Scorecards Performance"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Customer
Feedback

Customer Feedback

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Achievements

Avoma Scorecards & Dashboards

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Watch my intro + this case-study

100%

Coverage

AI scorecards replacing manual coaching reviews

+28%

Win Rates

Through dynamic, data-driven coaching programs

32%

Forecast Accuracy

AI-driven product foundations across 3 startups

60%

Reporting Time Reduced

Key Observations

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Key
Observations

Key Observations

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Avoma AI Coaching Assistant

Scaling Sales Performance with 100% Call Coverage

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

What is Avoma?

Avoma Scorecards & Dashboards

Workflows before Avoma Scorecards

—> Manual feedback with the help of comments feature.

Watch Product Video

Watch my intro + this case-study

Problem Statement

The Challenges

  • Managers ofter find it difficult to evaluate their teams effectively.

  • Coaching their team manually, by adding comments is time-consuming and inconsistent process.

No Standardisation

  • There is no standardised yet flexible process to evaluate team members.

  • This makes it harder to identify coaching opportunities, leaving team members without clear guidance for improvement.

Solution

Coaching with Scorecards

  • Avoma Scorecards standardise evaluations enabling actionable coaching.

  • AI scoring ensures consistency, while Manual scoring allows personalised feedback.

Empowering with Dashboards

  • Dashboards offer a clear view of performance trends.

  • Dashboards also provids granular insights for teams in multiple ways.

  • Dashboard helps identify strengths, pinpoint gaps, and drive focused coaching for continuous improvement

Design Process

Understanding & Research

  • Worked closely with Stakeholders to define scorecard objectives.

  • Listened to customer conversations to understand their problems

Ideate & Design

Concept Ideation —> Paper wireframes —> Information Architecture —> User flows —> Concept finalisation —> High-Fidelity designs —> Visual elements

Feedback and Iteration

  • Feedback iterations, User testing, alignment with workflows.

  • Ensured solutions addressed real-world challenges.

Collaboration

with product managers, engineers, data scientists, sales teams, etc.

QA

Design QA —> ensuring smooth implementation.

Roles & Timeline

Roles

UX & Product Designer

Timeline

Phase 1: Initial Research

2 weeks

Phase 2: Manual scorecards configuration & scoring conversations

4 weeks

Phase 3: AI Scorecards configuration & Auto-scoring rule engine

4 weeks

Phase 4: Scorecards dashboards

8 weeks

4 weeks

Tools

Figma | Miro | Notion

"AI operating system for Revenue Teams"

  • Manager-driven manual scorecards

  • Strong conversation analytics, but limited automated evaluation

  • Coaching depends heavily on manager time and interpretation

  • Manual and customizable scorecards

  • Some AI conversation insights, but scoring remains largely manual

  • Evaluation consistency varies across managers

Zoominfo

"The all‑in‑one AI platform for go‑to‑market teams"

Avoma aims..

  • AI-driven auto-scoring based on predefined coaching criteria

  • Consistent and objective evaluations across all calls

  • Instant coaching insights for reps after every conversation

  • Performance tracking over time for both reps and managers

  • Reduce manual effort and scale coaching across teams

"While Gong and Zoominfo rely primarily on manager-led evaluations, Avoma focuses on scalable, AI-driven coaching that delivers consistent, real-time performance insights."

Competitive Insights

"AI operating system for Revenue Teams"

  • Manager-driven manual scorecards

  • Strong conversation analytics, but limited automated evaluation

  • Coaching depends heavily on manager time and interpretation

  • Manual and customizable scorecards

  • Some AI conversation insights, but scoring remains largely manual

  • Evaluation consistency varies across managers

Zoominfo

"The all‑in‑one AI platform for go‑to‑market teams"

Avoma aims..

  • AI-driven auto-scoring based on predefined coaching criteria

  • Consistent and objective evaluations across all calls

  • Instant coaching insights for reps after every conversation

  • Performance tracking over time for both reps and managers

  • Reduce manual effort and scale coaching across teams

"While Gong and Zoominfo rely primarily on manager-led evaluations, Avoma focuses on scalable, AI-driven coaching that delivers consistent, real-time performance insights."

Competitive Insights

Data insights

Users & their goals

The primary users of scorecards are managers & employees

Anyone who is Team Leader:

(Sales, Customer success, HR/ Operations Managers)

  1. Evaluate team performance, provide feedback & insights.

  1. Ensure members align with best practices and goals.

  2. Identify areas for training and development.

Anyone who is Employee

  1. Get coached & get direction to align with best practices

  2. Learn from peers or managers

Sarah

Sales Manager

15y in sales and coaching teams

Master’s in Business Administration

Goals

  • Ensure team follows sales methodology and meets targets.

  • Provide timely, data-driven coaching to improve rep performance.

  • Track team performance trends and identify skill gaps.

  • Maintain consistent evaluation and coaching across the team

Challenges

  • Spending excessive time manually reviewing calls.

  • Inconsistent or subjective performance evaluation.

  • Limited visibility into individual and team improvement over time.

  • Difficulty scaling coaching across a growing team.

John

Sales Representative

6y in sales

Bachelor’s in Business Administration

Goals

  • Get clear, AI-driven feedback to improve call performance.

  • Understand what works (top behaviors, talk patterns, winning techniques).

  • Track personal performance trends and progress over time.

  • Increase conversions and consistently achieve sales targets.

Challenges

  • Lack of timely, actionable coaching after calls.

  • Unclear reasons for lost deals or poor outcomes.

  • Time-consuming manual review of long call recordings.

  • Inconsistent or subjective feedback from managers.

User Persona

Sarah

Sales Manager

15y in sales and coaching teams

Master’s in Business Administration

Goals

  • Ensure team follows sales methodology and meets targets.

  • Provide timely, data-driven coaching to improve rep performance.

  • Track team performance trends and identify skill gaps.

  • Maintain consistent evaluation and coaching across the team

Challenges

  • Spending excessive time manually reviewing calls.

  • Inconsistent or subjective performance evaluation.

  • Limited visibility into individual and team improvement over time.

  • Difficulty scaling coaching across a growing team.

John

Sales Representative

6y in sales

Bachelor’s in Business Administration

Goals

  • Get clear, AI-driven feedback to improve call performance.

  • Understand what works (top behaviors, talk patterns, winning techniques).

  • Track personal performance trends and progress over time.

  • Increase conversions and consistently achieve sales targets.

Challenges

  • Lack of timely, actionable coaching after calls.

  • Unclear reasons for lost deals or poor outcomes.

  • Time-consuming manual review of long call recordings.

  • Inconsistent or subjective feedback from managers.

User Persona

Core Concept & Solution visualisation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Scorecards concepts

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Information Architecture

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

User Flows

Avoma Scorecards & Dashboards

  1. Manager

  2. Member

  3. AI

Watch Product Video

Watch my intro + this case-study

Wireframes

Avoma Scorecards & Dashboards

Made in Balsamiq

Watch Product Video

Watch my intro + this case-study

Scorecard Creation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Scorecard in Conversation

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard
"Overview"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard
"Members Performance"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Dashboard
"Scorecards Performance"

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Customer Feedback

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study

Key Observations

Avoma Scorecards & Dashboards

Watch Product Video

Watch my intro + this case-study