Strategy Agent

Product Strategy Advisor

Your AI partner for strategic product decisions, feature planning, and prioritization. Built to accelerate product thinking and help you make better, faster decisions backed by proven PM frameworks.

6+
Use Cases
95%
Satisfaction
10x
Faster Planning
24/7
Available

What It Does

The Product Strategy Advisor is a specialized Claude Code agent designed to enhance your product management workflow. It serves as a thought partner for strategic decisions, helping you structure your thinking, validate assumptions, and create comprehensive product artifacts.

Proactive Use: Invoke this agent whenever you're making product decisions, planning features, or need to structure product thinking. Don't wait until you're stuck—use it early in your process to accelerate decision-making and ensure comprehensive consideration of all factors.

Key Capabilities

Strategic product thinking and problem framing
Feature prioritization using established PM frameworks
User story and acceptance criteria generation
Metrics definition and analytics instrumentation
Stakeholder communication and requirement gathering
Technical feasibility assessment and trade-off analysis
Discovery and validation planning
Product roadmap recommendations

Use Cases

Real-world scenarios where the Product Strategy Advisor accelerates your work and improves decision quality.

Feature Planning & Scoping

Define comprehensive feature requirements with clear success criteria and implementation considerations.

Example Scenario

"You're planning a new dashboard feature for your analytics product but struggling to define the scope and prioritization."

Expected Outcome

Receive a structured feature brief including user stories, acceptance criteria, edge cases, technical considerations, and phased rollout recommendations.

Requirement Refinement

Transform vague feature requests into detailed, actionable specifications with clear acceptance criteria.

Example Scenario

"Stakeholders request 'better notifications' without specifics on what 'better' means or which notifications need improvement."

Expected Outcome

Get a detailed requirements doc covering notification types, delivery channels, user preferences, frequency caps, and success metrics.

Prioritization Decisions

Evaluate competing features using frameworks like RICE, ICE, or Value vs. Effort to make data-driven prioritization calls.

Example Scenario

"You have 5 feature requests from different stakeholders and need to decide what to build next quarter."

Expected Outcome

Receive a prioritization matrix with scoring rationale, trade-off analysis, and recommended sequencing with supporting arguments.

Product Discovery

Structure discovery phases with hypothesis generation, research plans, and validation frameworks.

Example Scenario

"You're exploring a new market segment but unsure how to validate demand and define the minimum viable feature set."

Expected Outcome

Get a discovery roadmap including research questions, interview guides, validation metrics, and go/no-go criteria.

Metrics & Instrumentation

Define comprehensive analytics strategy including KPIs, leading indicators, and instrumentation requirements.

Example Scenario

"You're launching a new onboarding flow and need to define what success looks like and how to measure it."

Expected Outcome

Receive a metrics framework covering user journey analytics, conversion funnels, engagement metrics, and dashboard specifications.

Go-to-Market Planning

Develop launch strategies including rollout phases, communication plans, and success criteria for new features.

Example Scenario

"You're ready to launch a major feature but need a structured approach to rollout, messaging, and measuring adoption."

Expected Outcome

Get a GTM plan covering phased rollout strategy, internal/external communications, training materials, and adoption tracking.

How to Use

Getting Started

1

Open Claude Code

Launch Claude Code in your terminal or IDE with access to your project context.

2

Invoke the Agent

Reference the Product Strategy Advisor agent in your prompt and provide context about your product challenge.

3

Collaborate & Refine

Engage in a back-and-forth dialogue to refine requirements, explore trade-offs, and finalize your strategy.

4

Export & Share

Save the generated artifacts (PRDs, user stories, metrics frameworks) to your documentation.

Example Invocation

Claude Code Prompt
I'm planning a new feature for our analytics dashboard that lets
users create custom reports. Can you help me:

1. Define the scope and key requirements
2. Create user stories with acceptance criteria
3. Identify technical considerations and edge cases
4. Define success metrics and instrumentation needs
5. Suggest a phased rollout approach

Context:
- Our users are data analysts and business stakeholders
- Current dashboard only has pre-built reports
- We use React, Next.js, and PostgreSQL
- Target launch: Q2 2025

Tips for Best Results

Provide Context

Share relevant user research, product constraints, and business goals to get more tailored recommendations.

Be Specific

Clearly state what artifacts you need (PRD, user stories, metrics doc) to get structured output.

Share Constraints

Mention technical limitations, timeline pressures, and resource constraints upfront.

Iterate & Refine

Don't settle for first output—ask follow-up questions and request refinements.

Example Output

See what kind of output you can expect from the Product Strategy Advisor.

Sample Response

Custom Reports Feature - Requirements & Planning

1. Feature Scope & Requirements

Core Capability: Allow users to create custom reports by selecting data sources, dimensions, metrics, and visualizations.

Key Requirements:

  • Drag-and-drop report builder interface
  • Support for 5+ visualization types (bar, line, pie, table, scatter)
  • Save and share reports with team members
  • Schedule automated report generation and email delivery
  • Export reports to PDF, CSV, and Excel formats

2. User Stories

As a data analyst, I want to create custom reports with specific metrics and dimensions, so that I can analyze business performance from different angles.

Acceptance Criteria:

  • User can select data source from available datasets
  • User can add multiple metrics and dimensions
  • Report preview updates in real-time as selections change
  • User can save report with a descriptive name
  • Validation prevents invalid metric/dimension combinations

3. Success Metrics

Adoption Metrics:

  • % of active users who create at least one custom report within 30 days
  • Average number of custom reports per user
  • Weekly active users of custom reports feature

Engagement Metrics:

  • Time to create first report (target: <5 minutes)
  • Report view count (custom vs. pre-built reports)
  • Share rate (% of reports shared with team members)

4. Phased Rollout Approach

Phase 1: MVP (Weeks 1-4)

Basic report builder with 3 visualization types, save/load functionality

Phase 2: Enhanced (Weeks 5-8)

Add scheduling, sharing, and additional chart types

Phase 3: Advanced (Weeks 9-12)

Export functionality, advanced filters, and collaboration features

Related Tools

Combine the Product Strategy Advisor with these other tools for a complete workflow.

Ready to Enhance Your Product Workflow?

Start using the Product Strategy Advisor today to accelerate decision-making and improve the quality of your product artifacts.