A customer-led workflow

Team Performance Intelligence

Transform team management from gut feel to data science with AI that predicts performance, identifies hidden talent, and delivers coaching insights that drive 10x teams.

Customer evidence

Rappi
“Citations in reports are critical for us. They build trust and prove accuracy — when leadership sees top citations, it reinforces credibility.”
Juan CanalHead of Product, RappiRead their story

Make the decision with the evidence in reach.

Ask a specific question of your company context. Inspect the accounts and source material behind the answer before using it in a report or a team decision.

BuildBetter interface supporting Team Performance Intelligence
Product example. Inspect findings alongside their customer and source context.

Put it to work.

01

Performance Analytics

Real-time insights into individual and team performance patterns across results, behaviors, potential, and impact. Move from annual snapshots to continuous intelligence that reflects how work actually gets done.

02

Predictive Modeling

AI predicts performance trajectory, burnout risk, and growth potential before changes become visible. Catch flight risks 90–180 days early and intervene while you still have leverage.

03

Coaching Intelligence

Personalized coaching recommendations based on actual observed behaviors, not manager intuition. Automatically detect coaching triggers, generate improvement plans, and match struggling reps with proven peers.

04

Team Optimization

Data-driven team composition, workload balancing, and succession planning. Identify skill gaps, model capability requirements for future strategies, and build high-performing teams by design.

A practical place to start.

Phase 1 — Foundation (Week 1)
  1. Connect performance data sources

    Integrate call analytics, CRM activity data, communication patterns, and output metrics to build a multi-signal view of every individual and team.

  2. Import historical performance data

    Load 12 months of performance metrics, team composition changes, promotion and departure history, training participation, and 360 feedback to establish baselines.

  3. Define performance framework

    Configure a multi-dimensional model covering results (40%), behaviors (30%), potential (20%), and impact (10%) to capture holistic performance beyond quota attainment.

  4. Build AI performance models

    Train the system to recognize high-performance early indicators, burnout risk signals, growth potential markers, and coaching opportunity triggers from real interaction data.

  5. Launch automated monitoring workflows

    Activate weekly performance dashboards, a tiered smart alert system (critical/important/informational), automated coaching recommendations, and recognition triggers.

Phase 2 — Advanced Analytics (Weeks 2–4)
  1. Activate predictive performance modeling

    Generate 30-day individual performance forecasts with confidence scores, team optimization analyses with quantified impact, and attrition risk predictions with specific retention strategies.

  2. Build dynamic skill maps

    Create a living skill matrix for every team, identify critical gaps, track learning effectiveness with ROI analysis, and surface career path intelligence from promotion success patterns.

  3. Optimize team composition

    Analyze team chemistry, collaboration network health, and workload distribution. Identify overloaded and underutilized team members and model rebalancing scenarios.

Phase 3 — Strategic Transformation (Month 2+)
  1. Build a continuous performance culture

    Shift from annual reviews to daily insights, subjective ratings to data-driven assessments, and fear-based management to growth-oriented development.

  2. Align workforce to business strategy

    Conduct capability gap analysis against strategic requirements, model workforce scenarios for growth and acquisition, and build succession plans for critical roles.

  3. Arm executives with team intelligence

    Deliver CEO-level health score dashboards, board-ready quarterly talent reports, competitive benchmarking, and M&A talent due diligence support.

Keep the workflow useful
  • Make it continuous: daily insights beat annual reviews every single time
  • Focus on growth: use data to develop people, not punish them
  • Democratize insights: give everyone access to their own performance data
  • Act fast: the value of performance insights decays quickly
  • Celebrate wins: recognition based on data feels more meaningful and drives more improvement

Keep exploring.

Ready to build data-driven teams that perform at their peak?

Bring a real question. We’ll walk through the context and the next step together.

Book a demo