Agile development & priortization frameworks = faster, happier teams smarter roadmaps successful produts

What product framework does your team use? I will likely know it or easily adapt to it.  Recently, my startup used Kanban inside Asana with FDD and RICE. At CVS, we used SAFe Agile in Rally, with Confluence.

2023 bonus: secure instances of LLMs to augment processes 🚀 

Frameworks Utilized:
– SAFe (Scaled Agile Framework)
– Lean Agile Principles
– Kanban
– FDD (Feature-Driven Development)

Feature Prioritization and Roadmap Planning:

  • MoSCoW Method
  • Kano Model
  • RICE Scoring
  •  
  • QFD (Quality Function Deployment)
  • Story Mapping
  • Affinity Estimation
  • Priority Matrix (2×2 Matrix)
  • OKRs (Objectives and Key Results)

Agile Metrics and Performance Measurement:
– Defined KPIs at CVS Health to measure product and team performance, ensuring regulatory compliance and optimal team capacity.
– Utilized Agile metrics to monitor sprint and release progress, ensuring timely delivery and quality.

Agile Tools:
Fluent in most tools such as JIRA with Confluence, Rally, Asana, Shortcut, Monday for backlog management, sprint planning, and progress tracking and overall agile project management and collaborative planning.

Examples of SAFe Agile Leadership at CVS:
– Drove the creation of a strategic product roadmap for an evolved Caremark and Specialty Pharmacy identity structure at CVS Health by unifying engineering, architecture, design, marketing and business teams.
– Conducted ideation workshops with newly acquired companies at CVS Health to develop novel approaches for improving end-to-end patient experiences.
– Successfully led multiple cross-disciplinary Scrum teams comprised of over 80 colleagues at CVS Health for improving payments, login and account management, setting the product vision and priorities.

Continuous Learning and Industry Engagement: Actively participate in industry communities and mentoring roles to share knowledge and learn from other Agile practitioners.

Certifications:
IDEO U: Foundations in Design Thinking, From Ideas to Action, Insights for Innovation

Google: Introduction to Generative AI

LinkedIn: AI-First Product Leader,  Technical Product Management

Example User Story

Title: Implementation of Data Consent Screen in Login Flow

User Story: As a member of the Pharmacy Benefits Program, I want to be well-informed about data sharing practices while accessing my new pharmacy benefits account, so that I can make an informed decision regarding my data privacy.

Acceptance Criteria:

  1. Upon first login after the release, a member is prompted with a Consent Screen before they can access their new pharmacy benefits account.
  2. The Consent Screen clearly explains the necessity of sharing their email, phone number, and username from their existing plan to access the new account.
  3. The screen articulates the benefits of data sharing, and the consequences of not providing consent.
  4. A link to the privacy policy is provided on the Consent Screen for further information.
  5. Two actionable buttons are provided: “I Consent” and “Learn More.”
    • If “Learn More” is clicked, the member is navigated to a page providing a detailed explanation of data sharing and privacy policy, with options to “I Consent” or “I Decline.”
    • If “I Consent” is clicked, the member is redirected to their new pharmacy benefits account.
    • If “I Decline” is clicked, the member is redirected back to their existing account.
  6. Members have the ability to modify their consent preferences and update their contact information within their account settings post-login.
  7. The Consent Screen, and the subsequent pages, are designed to be mobile-friendly and seamlessly integrated within the login flow to ensure a non-disruptive user experience.
  8. Accessibility standards are adhered to, ensuring all members can easily interact with the Consent Screen and understand the information provided.

Example Parent Feature

Feature Title: Enhanced Data Privacy Management Feature

Feature Description: Leverage an intelligent Data Privacy Management Feature to provide members with a seamless experience when navigating data consent options. This feature will include:

  1. A Consent Screen during the login flow to the new pharmacy benefits account.
  2. An intuitive and user-friendly interface for managing data privacy preferences post-login, including the ability to easily revise consent decisions and update contact information.
  3. Real-time notifications and updates regarding any changes in data sharing policies, with prompts for members to review and adjust their preferences as needed.
  4. Enhanced educational resources accessible within the application to empower members with the knowledge needed to make informed decisions regarding their data privacy.
  5. Integration with the broader pharmacy benefits platform to ensure consistent data privacy practices across all interactions.

This feature aims at not only meeting the immediate need for informed consent during the login flow but also at providing a robust and user-centric data privacy management experience.

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imperfectly made by Ariel McNichol, © 2024