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Databricks Apps Adoption Playbook

Field vs Product framework for driving adoption

Feature Adoption Roadmap

Owner: Product Management

Purpose

Track which features drive:

  • Revenue (DBUs) - Direct monetization
  • Satisfaction (CSAT) - Customer happiness
  • Adoption - Usage breadth and depth
  • Retention - Long-term stickiness

Feature Categories

Core Platform Features

Feature Category Description
App Hosting Infrastructure Run apps on Databricks
App Spaces Infrastructure Group related apps
Lakebase Integration Data Operational data store
Unity Catalog Governance Auth, lineage, security
Model Serving AI/ML Serve ML models in apps
AI Agents AI/ML Agentic app capabilities

Developer Experience Features

Feature Category Description
Python Framework Dev Python app development
Streamlit Support Dev Streamlit app deployment
Gradio Support Dev Gradio app deployment
IDE Integration Dev External IDE support
Debugging Tools Dev App debugging capabilities

Feature Adoption Metrics

DBU Impact by Feature

Feature DBU Contribution Trend Notes
App Hosting TBD TBD Base platform
Lakebase TBD TBD Operational data
Model Serving TBD TBD AI apps
Unity Catalog TBD TBD Governance
App Spaces TBD TBD New feature

CSAT by Feature

Feature CSAT Score Sample Size Top Feedback
App Hosting TBD TBD TBD
Lakebase TBD TBD TBD
Model Serving TBD TBD TBD
Developer Tools TBD TBD TBD

Adoption by Feature

Feature Accounts Using % of Total Apps Growth Rate
Python Framework TBD TBD TBD
Streamlit TBD TBD TBD
Lakebase TBD TBD TBD
Unity Catalog TBD TBD TBD
Model Serving TBD TBD TBD

Product Roadmap Influence

Current Roadmap (from Product Context)

Timeline Initiative Expected Impact
FY26 App Spaces Improved cost efficiency
FY26 Cost Efficiency Better resource management
FY27 Legacy Framework Support Java/.NET migration
FY27 Fully Featured Apps Platform parity

Field-Requested Features

Feature Request Field Signal Count Deal Impact PM Status
Horizontal scaling TBD TBD TBD
Public URL support TBD TBD TBD
Cost controls TBD TBD TBD
Custom domains TBD TBD TBD
GPU config TBD TBD TBD

Feature-to-Archetype Matrix

Feature Cockpit Vertical Horizontal
Lakebase ✅ ✅  
Unity Catalog ✅ ✅ ✅
Model Serving   ✅  
AI Agents   ✅ ✅
Streamlit ✅   ✅
Python Framework ✅ ✅ ✅

Adoption Funnel by Feature

flowchart TB
    subgraph Funnel["FEATURE ADOPTION FUNNEL"]
        Aware["AWARE<br/>Feature exists"]
        Trial["TRIAL<br/>First use"]
        Adopt["ADOPT<br/>Regular use"]
        Expand["EXPAND<br/>Critical dependency"]
    end
    
    Aware --> Trial --> Adopt --> Expand

Funnel Metrics

Feature Aware Trial Adopt Expand
Lakebase TBD% TBD% TBD% TBD%
Model Serving TBD% TBD% TBD% TBD%
App Spaces TBD% TBD% TBD% TBD%

Actions for Product Management

Action Purpose Priority
Instrument feature usage telemetry Track adoption High
Establish CSAT collection by feature Measure satisfaction High
Map field requests to roadmap Influence prioritization High
Create feature adoption dashboard Visibility Medium

Success Metrics

Metric Baseline Target (6 mo)
Features with DBU tracking 0 All core
Features with CSAT tracking 0 Top 5
Field requests with roadmap mapping 0 100%
Adoption funnel visibility None Full funnel

Last Updated: January 2026

Related: Friction Summary Signal Capture