Frame Better Problems, Make Better Decisions
Apply the five-stage QUEST Framework — Question, Unpack, Explore, Scenarios, Tension — to any strategic challenge that resists a simple answer.
Reframe the presenting problem into the real strategic question before you research anything, so your analysis is aimed at what actually matters.
Surface the hidden assumptions and unstated context that shape a situation, and test the high-importance, low-confidence ones before they become expensive mistakes.
Build a structured picture of your strategic landscape — forces and trends, stakeholder dynamics, and analogous situations — using AI to reach wider and faster than you could alone.
Develop and stress-test several plausible futures with the Two-Axes Method, and attach early warning indicators that tell you which future is arriving.
Map the fundamental tensions and second-order effects that more analysis will never dissolve, and name the trade-offs honestly instead of smoothing them over.
Synthesise a full analysis into a clear, one-page Strategic Brief you can hand to a decision-maker, and check it with the TRUST principles before it leaves your hands.
Work AI as a thinking partner rather than a faster search engine, sharing organisational context safely by running the AI Safety Checklist first.
Module by module, in the order they are assigned.
The Strategic Thinking Gap shows why capable professionals can produce rigorous analysis that solves the wrong question, especially when AI is used for summaries, drafts, and facts. By the end, learners can name the four traps, compare AI tool categories, and turn prompts into frame-testing dialogue.
QUEST—Question, Unpack, Explore, Scenarios, Tension—structures strategic thinking before familiar traps narrow the work. You can scale the method to the stakes, assign AI the right role, reframe presenting problems, and write a Strategic Question Statement with judgement.
Unpack surfaces the assumptions, context, and absent perspectives beneath a strategic question, because hidden material can steer decisions before analysis begins. By the end, you can build an Assumption Map and Context Brief, include missing stakeholders, and run Gauge, Understand, Authority, Risk, Decide.
Explore widens strategic thinking beyond internal assumptions by scanning forces and trends, stakeholder dynamics, and analogous situations that familiar sources often miss. By the end, you can build a Landscape Map, use AI for systematic synthesis, apply TRUST to generated claims, and identify gaps before acting on the picture.
Scenario thinking and tension mapping help strategic decision-makers avoid brittle forecasts and recommendations that hide real costs. By the end, learners can build plausible futures with signals, stress-test a preferred direction, separate solvable problems from structural trade-offs, and state the hard part clearly.
Synthesis turns completed QUEST work into strategic clarity: the selection, structure, AI drafting, checks, and audience framing needed when decision-makers cannot absorb the full analysis. Learners can produce a one-page Strategic Brief, keep judgement human, and choose a live challenge for practice.
The course closes with a timed final exam with a pass mark and a limited number of attempts. A pass issues a PDF certificate with its own serial, in the name of the Straits Institute for Applied AI. Cohort progress, at-risk learners and a CSV export are in the admin console throughout.
No. Strategic thinking is not a C-suite skill — it is what happens whenever a professional needs to understand a challenge clearly enough to act wisely on it. The course is built for managers, senior professionals, analysts, consultants, and advisers who regularly make sense of complex situations, and the worked examples span operations, policy, banking, and the not-for-profit sector.
Light prerequisites. You should be comfortable using an AI assistant at a basic level. Everything the course relies on — the QUEST Framework, the prompting patterns, the way to evaluate AI output — is built from scratch here, so you do not need a prior AI qualification to follow along.
No. The whole course is organised around one line: AI is a tool to help you, not replace you. AI widens what you can see — it drafts, scans, and generates options at speed — but you decide what counts as signal, which assumptions are load-bearing, and which trade-offs you are willing to live with. You are the boss of every call.
The course teaches you to run the AI Safety Checklist — Gauge, Understand, Authority, Risk, Decide — before you share any organisational context. It shows you how to gauge sensitivity, check where your inputs go, confirm you are permitted, weigh the worst case, and decide your route, including anonymising the context or holding it back when needed.
Six modules of about sixty minutes each, roughly six hours in total, made of short micro-lessons you can take one at a time. Each module ends with a practice activity on supplied or dummy data, and the final module gives you a 30-day plan for applying the method to one real challenge of your own.
Most professionals capture about a fifth of AI's value by using it as a faster search engine. The other four-fifths sit in the thinking — reframing the question, surfacing assumptions, scanning the landscape beyond your domain, building scenarios, and mapping tensions. This course is about that larger share: using AI across the full arc of strategic analysis, not only for retrieval.
Cut Through Complexity with AI-Assisted Thinking
Sharper Questions, Better Answers, Stronger Closes
Hire, Develop and Lead Your Team with AI
Align, Influence and Communicate Across Every Level
Craft Narratives That Move People
Course libraries are assigned per user, team or department, and the reporting comes back to whoever has to answer for the programme. Tell us who needs it and we will show you the console.
