The Work Before the Slide

A good solution can lose priority because nobody managed to explain what it changes.

This happens often around complex products and technologies.

The people who built the solution know its architecture, trade-offs and possibilities. The people responsible for choosing it are trying to understand something else: what problem does this address, for whom, under which conditions, and what becomes possible or safer if we move forward?

The gap is usually described as a communication problem. Sometimes it is. More often, it is a decision problem that has reached the communication layer.

When the decision is still unclear, a presentation can only arrange the uncertainty. It can make the material more polished, but it cannot decide which consequence matters.

Clarity begins with the decision

Before writing a message, I want to know what someone is being asked to decide.

Is the decision about priority, budget, adoption, risk, positioning or the next conversation? Who makes it? Who influences it? What information do they already have? What would make the decision easier to evaluate? What would make it irresponsible to move ahead?

These questions sound simple, but they change the work. They prevent a team from presenting every feature with the same weight. They also reveal when the real need is not a new deck. It may be a sharper position, a better understanding of buyers, a more useful sales resource or a shared way of talking about the product.

This is where Product Marketing and Strategic Design meet in my work. I research customers and buyers, organize positioning and messages, and turn complex products, technologies and proposals into narratives and resources that support decisions, go-to-market and commercial teams.

The objective is not to make complexity disappear. It is to make its consequence visible without flattening the reasoning behind it.

Research changes the message

The same product rarely deserves the same explanation for every audience.

A technical team may need to see how something works. A business leader may need to understand the effect on time, cost, risk or revenue. A commercial team may need a way to recognize the situation in a conversation and connect it to a relevant next step.

These are not three versions of one paragraph. They are different decision contexts.

Research helps identify the difference. It gives the team a way to move beyond generic claims and test which problems, words and proofs are meaningful to each group. Personas, segments and buyer journeys are useful only when they change a choice in the work. Otherwise they become another layer of documentation.

In a volunteer lecture for young people at IOS in 2023, I described the distance I had observed between technical areas and leadership. The technical side knows the construction. The decision maker is trying to understand priority, budget, risk and business effect. Translation between the two sides has to preserve the reasoning and make the consequence visible.

That translation is not simplification for its own sake. It is a responsibility to understand who is listening, choose the relevant argument and test the message in context.

Strategy becomes useful when it travels

A strategy is not finished when the team agrees with it in a room. It becomes useful when it can travel into the situations where decisions are made.

That may mean a narrative for a product launch, a message architecture by market, a sales enablement system, a discovery guide, a reusable framework or a research publication. The format depends on the work. The test is more stable: can another person use it without needing the original meeting to explain what it means?

This is why I care about the relationship between narrative and system. A strong story gives people a way to understand. A usable system gives them a way to act with consistency while still exercising judgment.

The result is not always a large metric. Sometimes it is time saved in preparation. Sometimes it is a better question in a discovery call, a clearer handoff between teams or a decision that can be revisited because its criteria were made explicit. Results should be stated when they are documented. When they are not, the honest result may be a clearer decision and a known next step.

AI changes the pace, not the responsibility

I use AI in an advanced, applied way to research, prototype and build systems of work. I integrate agents, automations and tools while keeping context, evidence and decisions under human responsibility.

That distinction matters. AI can transcribe, summarize, compare, generate options and help maintain a structure. It can make the first pass faster. It cannot decide whether a source is appropriate, whether a claim is supported, whether private context should be removed or whether a publication is authorized.

In the editorial automation project behind THE STRATEGIC IDEA, the architecture separates Notion as the source of truth, Codex as the working intelligence, n8n as the orchestrator and Magnific as a creative engine. The system uses gates, dry runs, a sandbox, idempotency and traceable synthetic executions. Production deployment is still in progress. Publication remains manual during the pilot.

The point of documenting these limits is not to make the system sound cautious. It is to keep the boundary visible. Automation can accelerate parts of the work. Authorship appears in the decisions about context, evidence, privacy and what happens next.

A practical standard

When I review work that has to support a decision, I return to a few questions:

- What is

the decision, and who is responsible for it?

- What evidence supports the message?

- Which parts change by audience or context?

- What can the team use after the meeting?

- What is known, what is inferred and what still needs to be tested?

- What is the limit of the claim?

These questions create a useful pressure. They ask the work to be clear without becoming thin, specific without pretending certainty and persuasive without hiding its conditions.

That is the work before the slide. Research, positioning, hierarchy, narrative and systems come together so that a complex product can be understood by the people who need to decide about it.

I call this Product Marketing with a base in Strategic Design. The territory includes Positioning & Messaging, Customer & Buyer Insights and GTM & Sales Enablement, connected by Commercial Storytelling.

The measure of clarity is not whether everyone repeats the same sentence. It is whether the right people can see what is at stake, evaluate the evidence and take the next responsible step.