Business & People Ops 90 days 2-3 hours/day updated 2026-06-01

ProductOps 90-Day Learning Path

Master ProductOps in 90 days: product analytics with Amplitude, feedback loop design, feature flag operations, roadmap tooling, and the systems that make product teams 10x more effective.

What ProductOps means

ProductOps (Product Operations) is the function that optimizes how product teams work. ProductOps practitioners own the product development toolchain, analytics infrastructure, user feedback systems, feature flag management, and operating processes that enable product managers and engineers to make faster, better-informed decisions. It is sometimes called the ‘ops arm of product management.‘

Who should follow this path

Product managers wanting to scale their operational effectiveness
Business analysts embedded in product teams
Program managers supporting product development
Data analysts focused on product analytics
Operations professionals transitioning into product roles

Prerequisites

Familiarity with the product development lifecycle
Basic SQL and data analysis skills
Experience with project management tools
Understanding of user research and feedback methods
Some product analytics exposure (Mixpanel, Amplitude, or GA4)

The 90-day plan

Daily study recommendation: 2-3 hours/day, six days a week. Consistency beats intensity — block the time in your calendar like a meeting.

Days 1–15: Foundation

ProductOps function definition and scope
Product development lifecycle and stage-gate processes
Product metrics frameworks: HEART, AARRR, North Star
Customer feedback taxonomy and feedback loop design
Toolchain audit: what tools does the product team use and why

Outcome: Audit a product team’s toolchain and define a North Star metric with supporting product metrics.

Days 16–30: Core concepts

Product analytics with Amplitude and Mixpanel
Funnel analysis, retention cohorts, and path analysis
Event taxonomy design and instrumentation standards
User segmentation and behavioral analytics
A/B testing fundamentals with Optimizely or Statsig

Outcome: Implement a product analytics event taxonomy and build retention and funnel dashboards in Amplitude.

Days 31–45: Tools and workflows

Feature flag management with LaunchDarkly and Unleash
Progressive delivery: canary, ring-based rollouts
Feature flag lifecycle: creation, targeting, cleanup
Kill switches and incident response with feature flags
Experimentation platform design

Outcome: Configure a feature flag system with targeting rules, experimentation support, and flag lifecycle management.

Days 46–60: Hands-on projects

User feedback systems: Productboard, Canny, and UserVoice
NPS and CSAT survey design and analysis
Customer interview and usability testing operations
Feedback loop closing: how insights reach the roadmap
VOC (Voice of Customer) program design

Outcome: Build a feedback collection and synthesis system feeding directly into the product roadmap.

Days 61–75: Advanced practices

Product roadmap tools: Productboard, Aha!, Linear
Roadmap communication and stakeholder alignment
Sprint and PI planning operations support
Release notes and changelog automation
Product team operating cadence design

Outcome: Set up a product roadmap system with stakeholder visibility and automated release communication.

Days 76–90: Portfolio, interview & certification prep

ProductOps portfolio project
Interview prep for ProductOps and product analyst roles
ProductOps interview questions
Metrics: feature adoption rate, feedback loop cycle time, sprint velocity
Emerging: AI copilots for product teams, LLM-assisted discovery

Outcome: Deliver a ProductOps platform project and be ready for ProductOps and product analyst interviews.

Weekly outcomes at a glance

Phase	Outcome
Days 1–15	Audit a product team’s toolchain and define a North Star metric with supporting product metrics.
Days 16–30	Implement a product analytics event taxonomy and build retention and funnel dashboards in Amplitude.
Days 31–45	Configure a feature flag system with targeting rules, experimentation support, and flag lifecycle management.
Days 46–60	Build a feedback collection and synthesis system feeding directly into the product roadmap.
Days 61–75	Set up a product roadmap system with stakeholder visibility and automated release communication.
Days 76–90	Deliver a ProductOps platform project and be ready for ProductOps and product analyst interviews.

Tools to learn

Amplitude
Mixpanel
LaunchDarkly
Productboard
Optimizely
Statsig
Notion
Linear
Jira
Canny
Looker
Figma

Labs to practice

CI/CD with GitHub Actions

Mini projects

Build a product analytics stack in Amplitude with event taxonomy, retention dashboards, and A/B experiment tracking
Implement a feature flag system in LaunchDarkly with ring-based rollouts and experimentation support
Create a feedback synthesis system in Productboard that automatically surfaces themes from Intercom and NPS surveys

Interview questions to prepare

What is a North Star metric and how do you choose one?
How would you design an event taxonomy for a new mobile app?
Explain the difference between A/B testing and feature flags.
How do you close the feedback loop between user research and the product roadmap?
What is the HEART framework and when would you use it?
How do you measure feature adoption and what triggers a flag cleanup?
Describe how you would set up a ProductOps function from scratch at a 50-person startup.
How do you prioritize which product metrics to instrument first?

Certification suggestions

Amplitude Analytics Certification — Amplitude
LaunchDarkly Certified Developer — LaunchDarkly
HubSpot Product Management Certification — HubSpot Academy
Pragmatic Institute PMC Certification — Pragmatic Institute

Browse the full certification registry for exam details and official links.

Free resources

Engineering Manager Roadmap

// instructor-led option

Prefer live, guided training with mentors and certification support? DevOpsSchool.com runs paid instructor-led programs that pair well with this free path.

Explore paid training on DevOpsSchool.com ↗