Product & Planning

Analyze customer needs by identifying the 'job' they hire a product to do, covering job statements, forces of progress, and competitive landscapes.

Design and evolve engineering team structures for fast flow of change using the Team Topologies framework, including Conway's law, four team types, three interaction modes, and cognitive load management.

Design motivation systems for products and teams using Autonomy, Mastery, and Purpose (AMP) to drive intrinsic engagement.

Build empowered product teams that own continuous discovery and delivery, shifting from feature factories to outcome-driven innovation.

Diagnose and fix retention problems using the Fogg Behavior Model (B=MAP), covering motivation, ability, prompts, and tiny habits.

Design the small details—triggers, rules, feedback, loops, and modes—that separate good products from great ones, based on Dan Saffer's framework.

Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category using a structured canvas and 5-step process.

Apply Andrew Chen's 'The Cold Start Problem' framework to launch and scale networked products by building atomic networks, solving the hard side, and navigating the five stages of network effects.

Navigate the technology adoption lifecycle to cross from early adopters to mainstream markets using the D-Day strategy, beachhead selection, whole product assembly, and competitive positioning.

Create uncontested market space using value innovation instead of competing head-to-head. Covers the Four Actions Framework, Six Paths, strategy canvas, and buyer utility map.

Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots to keep product decisions grounded in evidence.

Model software around the business domain using bounded contexts, aggregates, and ubiquitous language, with scoring and diagnostic tools for evaluating domain model quality.

Apply six decades of persuasion science—Cialdini's principles of reciprocity, commitment, social proof, authority, liking, scarcity, and unity—to product design, copy, and sales, ethically.

Design products and pricing around validated willingness to pay, using the framework from Ramanujam & Tacke's "Monetizing Innovation" to avoid common monetization failures.

Apply foundational design principles—affordances, signifiers, constraints, mappings, and feedback—to evaluate and improve product usability, bridging the gulfs of execution and evaluation.

Manage teams using Andy Grove's principles: production thinking for knowledge work, output indicators, managerial leverage, effective meetings, clean decisions, OKRs, and task-relevant maturity.

Review designs, products, and features using Steve Jobs' standards of ruthless simplicity, focus, and end-to-end excellence.

Formulate and audit real strategy using Richard Rumelt's framework: an honest diagnosis, a guiding policy, and coherent action instead of goals, vision, and wishful thinking.

Triage Linear or Jira backlogs and run bug sweeps via the Composio CLI. Bulk-fetch issues, dedupe, relabel, reassign, and post summaries — all from the shell without clicking through the UI.

Stress-test ideas, plans, and decisions using structured critical reasoning across five modes: Socratic questioning, dialectic, pre-mortem, red teaming, and evidence audit.

Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists.

Discover and install complementary skills from the inference.sh registry to expand AI agent capabilities.

Create data-backed customer personas with market research, demographics, psychographics, jobs-to-be-done, journey mapping, and avatar generation.

Write changelogs and release notes that users actually read, with guidance on categorization, user-facing language, visuals, and distribution.

Run structured competitive analysis with feature matrices, SWOT, pricing comparison, review mining, and positioning maps using the inference.sh CLI.

Optimize Product Hunt launches with research, gallery image generation, and a day-of playbook.

Define a lightweight, disposable Proof of Life probe to test a risky hypothesis cheaply and surface harsh truths before building real product.

Create a six-frame storyboard that shows a user's journey from problem to solution, using a classic narrative arc to build empathy and align stakeholders.

Create user stories using Mike Cohn format with Gherkin acceptance criteria, translating user needs into development-ready work with clear outcomes and testable conditions.

Research companies, industries, or competitor sets using web search and seven analytical lenses to produce structured intelligence for downstream product management tasks.

Draft an Amazon-style press release to define customer value and align stakeholders before building a product or feature.

Create a working customer profile from existing research, market signals, and team knowledge before deeper validation.

Guide cross-functional teams through creating Jeff Gothelf's Lean UX Canvas v2 to frame business problems, surface assumptions, and define experiments.

Uncover customer jobs, pains, and gains in a structured JTBD format to clarify unmet needs, reposition products, or improve discovery and messaging.

Analyze political, economic, social, technological, environmental, and legal forces to identify external opportunities and threats for strategic planning.

Guide product managers through structured PRD creation by orchestrating problem framing, user research synthesis, solution definition, and success criteria into a cohesive document.