What you'll learn: How Claude Code handles the three pillars of product strategy — OKRs, positioning, and go-to-market — so PMs spend time on decisions instead of drafting. Plus the compounding effect when all three draw from the same context.
Product strategy work has a pattern: it happens in bursts. The quarter ends. The Head of Product blocks out two days. OKRs get drafted. Positioning gets revisited. Go-to-market plans get sketched for the next big launch. It's intensive, time-compressed, and high-stakes.
Then the quarter starts, and strategy documents sit in a folder while the team executes. Three months later, the cycle repeats. The PM re-reads last quarter's OKRs, wonders what half of them meant in hindsight, and drafts new ones from a blank page.
This pattern is expensive. Not because the strategy work takes time — it should take time. But because the blank-page problem adds hours of low-value work to what should be a high-value thinking exercise. Gathering context that already exists. Formatting frameworks you've used before. Re-articulating positioning that hasn't fundamentally changed since the last round.
AI for product strategy doesn't replace the thinking. It eliminates the blank page. This article covers how Claude Code handles the three pillars of product strategy work — OKRs, positioning, and go-to-market — so PMs spend time on decisions instead of drafting.
This is the deep dive on the Strategy category from 7 Types of PM Work You Can Automate with Claude Code. If you haven't read that overview, it covers all seven PM automation categories.
I've seen AI-generated OKRs surface connections between strategic priorities that the team hadn't explicitly linked. When you run strategy skills with good context, they force uncomfortable clarity: does this objective actually connect to the company strategy? Sometimes the honest answer is no — and that's worth discovering before the quarter starts, not after.
Why Strategy Work Stalls
Strategic thinking requires uninterrupted focus. But the actual process of producing strategy documents involves a lot of non-strategic work: pulling together context from scattered sources, formatting frameworks, aligning structure across documents, and filling in sections that are necessary but not where the insight lives.
For PM teams, there's an additional constraint: nobody has a strategy-only role. The same PM who's writing OKRs is also triaging bugs, reviewing specs, and preparing for the sprint demo. Strategy gets the leftover time, which means it gets the leftover energy.
The result is strategy documents that are either rushed (because the deadline hit) or perpetually in draft (because the PM never had a clean block of time to finish them). Both outcomes produce strategy that underperforms — not because the PM lacks strategic skill, but because the process around strategy work is broken.
AI doesn't replace strategic thinking. It eliminates the blank page. When the framework, context, and first draft are handled, the PM arrives at the thinking part fresh instead of exhausted from formatting.
OKRs: From Blank Page to Pressure-Tested Draft
OKR setting is the most universally dreaded strategy exercise in product management. Not because PMs don't understand OKRs. Because writing good ones is genuinely hard, and the process typically starts from nothing.
The OKR Problem
Most PM teams set OKRs the same way: open a new document, re-read the company's strategic goals, try to figure out which product objectives map to which company goals, and draft key results that are specific enough to measure but ambitious enough to matter.
This takes hours. Not because the thinking is hard (though it is), but because the PM is doing three things simultaneously: gathering context, applying the OKR framework, and making strategic judgment calls. The first two are overhead. Only the third is actual strategy work.
The overhead gets worse when OKRs need to align across PMs. Three PMs draft OKRs independently. The Head of Product discovers that two objectives overlap, one objective has no strategic connection, and the key results use inconsistent measurement approaches. A round of revisions follows. Then another. The team spends two weeks on OKRs instead of two days.
How /okr-coach Works
The /okr-coach skill reads your context files — your company's strategic priorities from company.md, your product's current state and roadmap from product.md, and your competitive dynamics from competitors.md. It already knows what your company cares about this quarter.
The skill produces a structured OKR draft with objectives aligned to company strategy, key results with specific metrics and targets, and connections between product objectives and company goals. It flags potential conflicts — objectives that pull in different directions — and highlights key results that might be unmeasurable with your current data infrastructure.
What the PM gets isn't a finished OKR set. It's a first draft that captures the alignment and structure correctly, so the PM can focus on the judgment calls: Is this the right objective? Is this target ambitious enough? Are we measuring the right thing?
Example — An OKR draft that would take 3-4 hours from a blank page generates in minutes. The PM spends their time evaluating, adjusting, and debating — the high-value work — instead of formatting, gathering, and structuring.
Team OKR Alignment
When every PM on the team runs /okr-coach against the same context files, the OKR drafts share a common foundation. They reference the same company strategy. They use the same measurement framework. They connect to the same product roadmap.
This doesn't eliminate alignment meetings. It makes them productive. Instead of discovering misalignment during the review ("wait, your objective contradicts mine"), the shared context surfaces alignment issues in the first draft. The alignment meeting becomes about resolving trade-offs, not discovering conflicts.
Positioning: From Slide Deck to Living Document
Positioning is one of those words that every PM uses and few can define precisely. April Dunford's work in "Obviously Awesome" provides the clearest framework: positioning is the context you set for your product so your target customers can understand why it matters to them.
The Positioning Problem
Most startups have a positioning slide deck from their last fundraise. It's reasonably good. It captures who the product is for, what problem it solves, and why it's different.
Ask the PM team to articulate that positioning and you'll get three different versions. Not because anyone is wrong, but because the slide deck doesn't translate into day-to-day decisions. It's a static artifact. Product positioning should be a living mental model that shapes feature priorities, messaging, and competitive responses.
The gap between "we have a positioning deck" and "positioning shows up in every PM's decisions" is enormous. And it's a gap that most PM teams never close, because refreshing positioning feels like a quarterly project, not a daily practice.
How /positioning-statement-generator Works
The /positioning-statement-generator skill applies April Dunford's positioning framework: competitive alternatives, unique attributes, value for customers, target customer segment, and market category. It reads your context files to understand your product, your users, and your competitive landscape.
The output isn't a tagline. It's a structured positioning document that articulates: what your target customers are doing before they find you, what alternatives they're using, what your product does differently that matters to them, and how to frame the market category so your differentiation is obvious.
When the competitive landscape changes — a new entrant, a pricing shift, a feature launch by a competitor — you update your competitors.md context file and re-run the skill. The positioning refreshes to account for the new reality. What used to be a quarterly project becomes a 30-minute update.
This is where context files show their value most clearly. Positioning without competitive context is generic. Positioning with a current, structured competitive landscape is sharp.
From Positioning to Decisions
The real value of structured positioning isn't the document itself. It's the cascade of decisions it informs.
When your PRD skill runs, it references the same positioning. When your competitive analysis skill runs, it evaluates competitors against the same differentiation claims. When your go-to-market skill runs, it builds messaging from the same value framework.
Tip — Positioning stops being a slide and becomes a system input. When it lives in a context file that every skill reads, every PM's output — PRDs, competitive analysis, GTM plans — reflects the same understanding of who you serve and why you win.
Go-to-Market: From Launch Scramble to Structured Plan
Go-to-market planning is where strategy meets execution. It's the translation layer between "we built this" and "customers know about it and buy it." For most PM teams, this translation is improvised for every launch.
The GTM Problem
A feature is ready to ship. The PM realizes they need a launch plan. They open a blank doc and start listing what needs to happen: pricing decision, sales enablement, marketing brief, support documentation, customer communication. Some of these are their responsibility. Some belong to other teams. The dependencies aren't clear. The timeline isn't structured. Things fall through the cracks.
For PM teams without dedicated product marketing, GTM planning falls entirely on the PM. It competes with everything else they're doing. The result: launches happen but the surrounding enablement doesn't, and the first two weeks of feature impact — the window when launches matter most — are wasted because the organization wasn't ready.
How /go-to-market-strategy Works
The /go-to-market-strategy skill reads your product context, persona files, and competitive landscape. It produces a structured GTM plan covering positioning and messaging (how to talk about this feature), target segments (who should hear about it first), channel strategy (where and how to reach them), sales enablement (what the sales team needs to know), pricing implications (how this affects the pricing conversation), launch timeline (what happens when, and who owns it), and success metrics (how you'll know the launch worked).
The output isn't a generic launch checklist. It's a GTM plan grounded in your specific product, market, and user context. The messaging references your actual positioning. The target segments map to your actual personas. The competitive framing accounts for your actual competitive landscape.
For PMs who launch features regularly, the time savings compound. Each GTM plan follows the same structure. Sales enablement covers the same sections. The messaging framework is consistent. Cross-functional teams know what to expect because the format doesn't change between launches.
Connecting GTM to Product Strategy
GTM planning should connect to strategy, not exist in isolation. When your GTM skill reads the same context files as your OKR skill and your positioning skill, the launch plan automatically aligns with your strategic priorities.
A GTM plan that references your Q2 objectives makes a stronger case internally. A messaging framework that uses your canonical positioning is more consistent externally. A sales enablement brief that accounts for your competitive landscape prepares the sales team for the objections they'll actually hear.
This connection doesn't happen when GTM plans are built from scratch each time. It happens when every strategic artifact — OKRs, positioning, competitive intelligence, GTM plans — draws from the same shared context.
The North Star Question
Underlying all product strategy is the question: what are we optimizing for? The North Star metric gives the answer.
The /north-star-finder skill helps PMs identify and validate their North Star metric — the single metric that captures the core value your product delivers to customers. It examines your product's usage patterns, value proposition, and business model to suggest metrics that correlate with both customer value and business growth.
The North Star connects directly to OKRs (objectives should drive the North Star), positioning (the value claim should map to what the North Star measures), and GTM (launch success should ladder up to the North Star).
For PMs who haven't formally defined their North Star, the skill provides a structured starting point. For PMs who have one, it pressure-tests whether the metric still captures the right thing as the product evolves.
Getting Started with AI Strategy
Strategy work benefits most from context files. Before running any strategy skill, make sure your context files are current — especially company.md (strategic priorities) and competitors.md (competitive landscape). Stale context produces stale strategy.
If you're heading into quarterly planning, start with /okr-coach. The time savings on OKR drafting are immediate and visible. Use the output as the starting point for your team's OKR alignment meeting.
If your positioning feels stale, run /positioning-statement-generator after updating your competitors.md with recent competitive moves. Compare the output to your current positioning deck. The gaps are where your positioning has drifted.
If you're launching a major feature, run /go-to-market-strategy before the engineering milestone. Starting GTM planning early — while there's still time to prepare cross-functional teams — is the difference between a launch that lands and one that ships quietly.
If you haven't set up Claude Code yet, the setup guide walks through installation and context file creation step by step. For strategy work, the upfront investment in good context files pays back immediately — every strategy skill is only as good as the context it reads.
For the full picture of what's possible across all seven PM automation categories, the hub article covers everything from discovery to stakeholder communication. And if you want to see where your team's strategy maturity stands, the PM Team Maturity Assessment scores your team across nine dimensions — including Strategy as a dedicated dimension.
Build this for your team → We set up and manage PM Operating Systems for product teams — strategy infrastructure that eliminates the blank-page problem across your entire PM team. See how it works →
The complete strategy skill set — along with 70+ other PM skills across discovery, competitive intelligence, specs, planning, data, and communication — is available in the PM Operating System.
About the Author
Ron Yang is the founder of mySecond — he builds and manages PM Operating Systems for product teams. Prior to mySecond, he led product at Aha! and is a product advisor to 25+ companies.