Documentation & Meetings

Tools

• pdoc – Auto-generate Python API documentation
• Mermaid – Create diagrams and flowcharts from text in a Markdown-like syntax

Templates

Project & Technical Meetings

• Technical Design Doc Template – Document system architecture, components, data flow
• Pull Request Template – Checklist and summary for PRs (code, tests, reviewers, notes)
• Experiment Plan Template – Hypothesis, variables, metrics, and analysis plan
• Retrospective Template – Guide for reviewing past sprint/project cycles

Data & Analytics Meetings

• Data Request Template – Intake form for new analysis or data extract needs
• One Pager Template – Summarize a project, idea, or proposal on a single page
• Meeting Notes Template – Standard format for taking concise and structured notes

Cross-functional / Stakeholder Meetings

• One Pager Template – Summarize a project, idea, or proposal on a single page
• Meeting Notes Template – Standard format for taking concise and structured notes
• Data Request Template – Intake form for new analysis or data extract needs

Reporting & Strategic Meetings

• Postmortem Template – Structure for documenting incidents and learnings
• Retrospective Template – Guide for reviewing past sprint/project cycles
• One Pager Template – Summarize a project, idea, or proposal on a single page

Collaborative & Feedback Sessions

• 1-on-1 Template – Agenda for 1-on-1 check-ins with manager or reports
• Feedback Template – Structure for giving/receiving peer or performance feedback

Meeting Types

Project & Technical Meetings

• Sprint Planning / Stand-ups (Agile):
  Define priorities, plan tasks, and report blockers on a daily/weekly basis

• Design & Architecture Reviews:
  Evaluate technical designs—e.g., pipeline architecture, schemas, model design

• Code Reviews / Pair Programming:
  Collaborative code sessions for learning and validation

• Pipeline/Model Monitoring & Debugging:
  Diagnose failures, resolve data/model performance issues in production

Data & Analytics Meetings

• Exploratory Data Analysis (EDA) Discussions:
  Share insights, anomalies, or feature engineering results

• Model Review & Evaluation:
  Present metrics, discuss trade-offs (e.g., ROC-AUC, fairness, overfitting)

• Data Quality & Validation:
  Ensure schema consistency, missing data checks, rule-based validations

• Experiment Review:
  Discuss A/B test results, statistical significance, and business impact

Cross-functional / Stakeholder Meetings

• Product or Domain Team Syncs:
  Discuss project goals, KPIs, data availability

• Ad Hoc Analysis Requests:
  Clarify requirements for exploratory or one-off reporting

• User Feedback / Data Product Reviews:
  Gather user input on dashboards, ML outputs, or data access tools

• Requirements Grooming:
  Translate business requirements into data/technical specifications

Reporting & Strategic Meetings

• Quarterly Business Reviews / OKR Alignment:
  Evaluate progress against metrics and strategic initiatives

• Dashboard Walkthroughs / Reporting Demos:
  Demonstrate key metrics, performance trends, and data tooling

• Metrics Definition Meetings:
  Align teams on KPI definitions, calculation logic, and data sources

Collaborative Initiatives

• Knowledge Sharing / Lunch & Learns:
  Internal sessions to demo tools, share best practices, or teach concepts

• Workshops (e.g., dbt, Airflow, MLOps):
  Hands-on learning sessions for technical upskilling

• Data Governance / Compliance:
  Ensure responsible data use, privacy adherence, and lineage tracking

• Hackathons / Innovation Days:
  Time-boxed events for experimentation and cross-team collaboration