---
title: "Why Your Strategy Needs a Fresh Perspective — And How AI Fits In (Part 2) - In Parallel"
description: "Part 2 dives into how the GPS (Goals–Problems–Solutions) framework works in practice — and why it’s built to keep strategy adaptive, actionable, and AI-ready. Learn how to apply GPS to prioritize what matters, align teams at every level, and turn obstacles into catalysts for execution — all while keeping humans and AI on the same strategic page."
url: https://www.in-parallel.com/insight/why-your-strategy-needs-a-fresh-perspective-part-2
---

Strategy Execution

# Why Your Strategy Needs a Fresh Perspective — And How AI Fits In (Part 2)

Strategy is only real when it adapts — and drives action.

Why Your Strategy Needs a Fresh Perspective — And How AI Fits In (Part 2)

Published

May 8, 2025

Kristian Luoma

Co-founder, CPO

kristian@in-parallel.com

[LinkedIn](https://www.linkedin.com/in/kluoma/)

Contents

In [Part 1](https://www.in-parallel.com/insight/why-your-strategy-needs-a-fresh-perspective-part-1), we explored why static strategy models lead to misalignment, wasted effort, and a widening gap between strategic intent and real-world execution. We introduced the GPS framework (Goals–Problems–Solutions) as a structured way to bridge this gap — helping organizations continuously adapt and ensure their strategy remains relevant.

Now, in Part 2, we’ll break down how GPS works in practice. By systematically identifying obstacles and continuously refining solutions, organizations can stay aligned with their goals—even as conditions change. This approach is not only intuitive for human decision-making but also machine-readable, making it possible to integrate AI into strategic execution effectively.

## How GPS Works

GPS follows a structured decision-making process, closely mirroring the OODA loop (Observe, Orient, Decide, Act) — a proven model for agile, real-time adaptation. Let’s dive into how it works.

1. **Set Your Goals** These can be high-level strategic pillars like “Deliver the most enjoyable shopping experience,” or “Automate supply chain processes,” or “Grow market share by 15%.”
2. **Identify the Problems (Obstacles)** Ask: What might prevent us from achieving these goals? These could be anything from resource shortages and regulatory changes to market disruptions and competitor launches. The important part is to constantly scan for new Problems and update them as circumstances shift.
3. **Develop Solutions** For every Problem, define one or more Solutions — concrete initiatives that will neutralize or otherwise overcome the obstacle. If your Problem is “Inefficient last-mile logistics,” your Solutions might be “Expand courier partnerships” or “Implement store automation for faster pick-ups.” Each Solution is then assigned a priority based on how critical it is to remove that Problem.
4. **Reassess and Adapt** GPS is not a one-and-done exercise. You continuously reprioritize Problems and Solutions as new data emerges, ensuring you never lose sight of the biggest threats to your Goals.

While it’s easy to assess the most important goals and prioritize them, we often struggle with prioritizing activities related to Solutions. This is really where Problems help — solving the biggest Problem should most often be the priority.

## Why GPS Matters (and Why It’s Machine-Readable)

1. **Adaptive Strategy Execution** Strategies often fail when teams ignore the obstacles. GPS puts Problems at the forefront. By methodically scanning and prioritizing them, you stay alert and responsive. If a new competitor comes to market, it’s immediately added to the “Problem” list — no waiting until next quarter’s review.
2. **AI-Collaboration** AI can’t help you effectively if it only sees operational metrics. It needs to understand your goals, the obstacles to those goals, and the potential solutions. Because GPS is structured and can be interlinked across different levels of decision-making and operations, it’s inherently machine-readable. With this data, AI can:
3. **Institutional Learning** By continuously capturing both successes and near misses, your organization builds a repository of knowledge. This is where AI shines, as AI algorithms can learn from these patterns, leading to more accurate forecasting and better decision-making over time.
4. **Clarity & Transparency** GPS spells out exactly what you’re trying to achieve – what’s in the way, and the plan to fix it. No fluff, no buzzwords. This clarity helps teams avoid confusion and keep efforts aligned with the strategic north star.

## GPS in Action: The Tesla Example

Let’s take a simplified look at Tesla — a company with the bold vision to “accelerate the world’s transition to sustainable energy.” I use this example because most of us are familiar with this clear, concise expression of their strategy.

Interestingly, it naturally aligns with the GPS (Goals–Problems–Solutions) framework we’re proposing.

In a machine-readable format, their strategy might look something like this:

1. **Goals**
2. **Problems (Obstacles)**
3. **Solutions**

Each Solution is prioritized based on its impact, feasibility, and how urgently it needs to be implemented. If building a new Gigafactory is the most impactful way to address production bottlenecks, it goes to the top of the list.

As the market evolves — competitors launch new EV models, battery tech breakthroughs emerge, or governments introduce new incentives — Tesla updates its Problem set. That continuous loop means Tesla isn’t blindsided by a sudden shortage of critical materials or a shift in global interest rates that might affect factory construction.

This continuous cycle enables Tesla to identify and tackle the biggest threats to its ambitious goals. No matter how often external conditions change, the GPS framework keeps everyone aligned — ensuring a shared understanding of core objectives, key challenges, and the highest-priority solutions.

It all started with the Roadster, which generated enough funding to develop the Model S, on which its success then enabled Tesla to launch its first mass-market vehicle, the Model 3.

The GPS framework applies at every level — whether shaping a multi-year strategy or guiding tactical decisions on a quarterly, monthly, or even weekly basis. And that’s the whole point.

## How We Recommend Implementing GPS

1. **Make “Problems” a Standing Agenda Item** In your monthly or quarterly reviews, don’t just measure progress on goals. Ask: What new problems have cropped up, and which ones matter most right now?
2. **Set KPIs That Reflect Problem-Solving** Yes, measure progress on overall Goals (e.g., X% revenue growth), but also track metrics that show whether specific Problems are being resolved (e.g., production delay rates, supply chain risk metrics).
3. **Centralize Your GPS Data** Keep your GPS overview — Goals, Problems, Solutions — in a shared dashboard or collaboration platform. Transparency ensures all teams move in the same direction. At In Parallel, we offer an [Intelligent Operating Model](https://www.in-parallel.com/archive/solution), designed to constantly feed the OODA loop.
4. **Continuously Reprioritize** The order of Problems identified at the start of the year might not hold true by Q2. Business conditions change, so your top-tier Problems (and Solutions) might change, too.
5. **Keep Solutions Actionable** Avoid vague and qualitative statements like “improve synergy.” Make your Solutions as concrete as possible, with clear owners and timelines.
6. **Cascade Solutions into New Goals** A top-level Solution like “Invest in advanced battery R&D” might become a subordinate Goal for a specialized engineering team. The team then identifies its own Problems and Solutions. This cascading approach keeps every level aligned and fosters agency.
7. **Quantify Impact** When selecting which Solutions to fund first, gauge the financial, operational, or reputational impact. Focus your resources where the payoff is greatest — and reevaluate often.

With In Parallel, all of this is optimized natively in the Intelligent Operating Model.

## GPS vs. Other Frameworks

1. **GPS vs. OKRs (Objectives and Key Results):** While OKRs offer clarity on what success looks like, GPS clarifies what can derail it. Another key difference is thatOKRs typically run in set cycles (like quarterly), whereas GPS prioritizes **continuous** updating so you don’t miss urgent threats in between review cycles.
2. **GPS vs. Balanced Scorecard:** Balanced Scorecard can be great for high-level alignment but can become static if not revisited often. In contrast, **GPS is inherently agile**, spotlighting immediate blockers and guiding rapid resource allocation to fix them.
3. **Tying It to the OODA Loop:** Originally formulated for military decision-making, the OODA Loop (Observe, Orient, Decide, Act) emphasizes rapid reactions in dynamic environments.

After implementing Solutions, you return to observing new Problems. This cyclical approach ensures that strategy evolves in real time — not just annually or quarterly.

## The Bottom Line: Adaptive, Actionable Strategy

At the heart of GPS is a simple insight: Your strategy can only succeed when you proactively address the obstacles en route to the goals. By embedding Problems into the heart of your planning — rather than treating them as afterthoughts — GPS helps you pivot in real time, keep your teams aligned, and ensure that no critical threat go unnoticed. Here’s why it matters:

- **Strategies fail when obstacles are ignored.** GPS makes sure Problems are front and center.
- **Execution needs clarity.** With GPS, what needs doing and why becomes obvious to everyone.
- **AI needs a seat at the table.** A codified (machine-readable) format enables AI to support knowledge work, from spotting new threats to suggesting innovative Solutions.
- **You stay agile.** When the world changes — tomorrow, next week, or six months from now — you can update your Problem set and Solutions without trashing your overall Goals.

The ultimate payoff? Organizations that continuously do the right things right — elevating performance, engagement, and results in a way that’s future-proofed against disruption.

## Conclusion: Turning Strategy into Action

Success in today’s business environment isn’t about having the perfect strategy — it’s about continuously adapting to change while staying aligned with long-term goals. The GPS framework (Goals–Problems–Solutions) provides a structured, dynamic approach to strategy execution, ensuring organizations remain agile, focused, and responsive.

By systematically identifying obstacles, prioritizing the right solutions, and integrating AI-driven insights, companies can bridge the Strategy-Market Gap and execute with precision. This shift moves strategy from a static exercise to a living, evolving system — one that keeps teams aligned and decisions grounded in real-time realities.

Organizations that embrace this model will not only navigate uncertainty more effectively but also unlock a new level of strategic agility and competitive advantage. The future of strategy isn’t about rigid plans—it’s about the ability to continuously do the right things, right.

### Get insights like this in your inbox

One email per week on execution intelligence, team coordination, and enterprise AI. No fluff.

By subscribing you agree to our [Privacy Policy](https://www.in-parallel.com/privacy-policy). Unsubscribe anytime.

[Back to all insights](https://www.in-parallel.com/insight)

[Book a demo](https://www.in-parallel.com/demo)

## Related articles

The Coordination Tax — Richard H. Carson on how change actually works

Leadership Insights

·

Oct 20, 2026

### You Either Manage Change or It Manages You: Richard H. Carson on how change actually works

Richard H. Carson, PhD — 40 years inside county governments, regional planning agencies, nonprofits, and the state of Oregon — on why every organization has a risk manager but almost none has a change manager, and what that asymmetry costs.

A rope suspension bridge over a dark river towards the fells, drawn in pen and watercolour

AI in Business

·

Oct 9, 2026

### AI-Assisted or AI-Native: The Bridge Is Shared Context

At a CIO data event in Espoo, HumanX in Amsterdam and a post-merger integration forum, large companies explained how they brought AI in by mapping processes and fitting AI into the gaps. That keeps a structure built around human limits. Getting to AI-native means rebuilding information flows into shared context first.

The Coordination Tax — Adam Christing on humor as leadership

Leadership Insights

·

Oct 7, 2026

### You Can't Fix Culture With a Mission Statement: Adam Christing on humor as leadership

Adam Christing — professional master of ceremonies, founder of Clean Comedians, and author of The Laughter Factor — on why culture is a feeling rather than a statement, and why humor is the fastest way for a leader to shift it.

The Coordination Tax — Jennifer Recla on the urgency mindset breaking your team

Leadership Insights

·

Sep 22, 2026

### Urgency Isn't Leadership. It's Addiction: Jennifer Recla on the mindset breaking your team

Jennifer Recla — leadership coach who has worked with hundreds of leaders across nonprofits, mission-driven organizations, and large financial institutions — on the urgency mindset behind most organizational chaos, and why most leaders have no idea how much of it they're creating themselves.

The Coordination Tax — Barry Wolfe on value-centric leadership

Leadership Insights

·

Sep 15, 2026

### HR Is the Last Line of Defense Against Chaos: Barry Wolfe on value-centric leadership

Barry Wolfe — HR consultant, founder of Argos HR, and author of It's All in Your Head — on why HR is the last line of defense against organizational chaos, why every role needs 3–5 clear value outcomes, and why the foundation of a well-run company is one document under 300 words.

Two colleagues sharing one open binder — context handed over at the resolution the other person needs

Leadership Insights

·

Sep 9, 2026

### Your Job Is Already Context Management

On The Coordination Tax, Stanford's Robert E. Siegel put it as an equation: truth equals facts plus context. Facts are cheap now. Context is not. Read the manager's week against that equation and the 16.5 hours a week lost to coordination stop looking like overhead — they are context management, performed manually, by the most expensive person in the room.

The Coordination Tax — Alberto Torres on surviving disruption

Leadership Insights

·

Sep 8, 2026

### You Can't Sword-Fight a Bullet: Alberto Torres on surviving disruption

Alberto Torres — former Nokia executive, ex-McKinsey partner, and author of The Z Curve — on what actually happened at Nokia, why great peace-time leaders quietly fail in war-time, and what every company facing AI right now should learn from the companies that got disruption right.

The Coordination Tax — Olivia Montgomery on why decisions belong lower in the org

Leadership Insights

·

Sep 1, 2026

### Your Leadership Doesn't Know What's Going On: Olivia Montgomery on why decisions belong lower in the org

Olivia Montgomery — principal analyst at Data Frame and former Gartner researcher — on why every layer up the org chart knows less about what's really going on, and why the fix isn't more visibility for leadership but pushing decisions down two or three levels.

The Coordination Tax — Craig Denison on the founder's hardest transition

Leadership Insights

·

Aug 25, 2026

### You Don't Get to Be the Rock Star Anymore: Craig Denison on the founder's hardest transition

Craig Denison — head of growth at The Table Group (Patrick Lencioni's firm) and founder of Green Thumb Consulting — on the transition every founder hits when execution stops running through their brain, and why 99% of the time the founder is creating the dysfunction they are trying to fix.

A manager mid-explanation, watch visible — the hour spent re-explaining context

AI in Business

·

Aug 24, 2026

### AI Saves a Day a Week. The Coordination Tax Collects It.

BCG's fourth AI at Work survey found 42% of regular frontline AI users save at least a full workday every week, and that two-thirds get little or no guidance on what to do with it. The usual reading is that leaders forgot to give direction. The better reading is that the hours were already spoken for. AI compresses the work; it doesn't touch the work about the work.
