Every customer interacts with a brand across multiple channels before they ever reach a fixture — social, digital, campaign imagery, email — and they arrive in store already holding an expectation of what that brand looks and feels like. VM direction is the discipline that makes sure the store delivers on that expectation rather than breaking it. The objective isn't a beautiful store in isolation; it's a customer who recognises the same brand world whether they're scrolling, browsing, or standing in front of a fixture.
Strong VM direction starts with intent: what is the product trying to say, what is the brand trying to prove, and how does that translate the moment a customer walks in. It's the layer that connects creative concept to commercial outcome, ensuring every seasonal direction, campaign moment, and category story is resolved into something stores can actually execute — and customers actually respond to.
This isn't about issuing a single directive and hoping it lands. It's ongoing leadership across the calendar: setting the visual language, briefing it clearly, and staying close enough to execution to know when it's working and when it needs to flex.
Consistency as a strategic discipline
Consistency at the direction level isn't about uniformity for its own sake — it's what makes a brand recognisable across a network and what makes performance data usable. If every store interprets a directive differently, it becomes genuinely difficult to know whether a result was driven by the product, the placement, the execution, or the store itself. Planogramming sits at the strategic core of this: a clear, commercially considered layout that every store is briefed against, so that when a wall over- or under-performs, the variable is the product and the customer — not a guess at what the store actually did.
Getting this right at the direction stage is what makes everything downstream possible: training easier to design, feedback easier to give, and performance easier to read.
Directives and manuals people actually use
A VM directive or standards manual only works if people read it. If a manual is boring to read, it will be skipped — and a skipped manual might as well not exist. The fix is structural: limit words, increase photos and video, and be ruthless about where the time is actually best spent. Does a style number need to be listed if the product is clearly visible in the photo? Does anyone read the two-paragraph introduction? The most reliable way to find out is to ask the team directly what they find valuable and what they skip over, and build the next version around the answer.
AI has become a genuinely powerful tool here — not a gimmick, but a real shift in how fast and how well directives can be produced. Dressing torsos and mannequins, building wall planograms, generating styled product imagery — work that used to take hours of physical setup and photography can now happen in a few clicks. That speed translates directly into better directives: more visual variations, faster iteration, and time saved that goes straight back into thinking through the why, what and how rather than the manual labour of producing the manual itself. Done well, it can halve production time while lifting the visual quality of what stores actually receive.
My approach
I lead with the customer's experience of the brand, not the brand's experience of itself. Before any directive is set, I'm asking what story the customer is already being told upstream — through campaign, through digital, through marketing — and building the in-store direction to complete that story rather than introduce a new one. I work closely with buying, planning, marketing and store teams from the outset, because direction set in isolation rarely survives contact with the shop floor. I treat planogramming as a strategic tool, not an administrative one — the layout is where commercial intent and customer experience are reconciled before a single fixture is touched. And every directive I build is designed to actually be read: visual-first, ruthlessly edited, and increasingly built with AI tools that free up time for thinking rather than production.
What this looks like working with me
- Seasonal and campaign VM direction, briefed for store-level execution
- Category and product storytelling aligned to commercial priority and the broader customer journey
- Strategic planogramming that protects consistency and makes performance data meaningful
- Directive and manual design — visual-first, AI-accelerated, built around what teams actually use
- Direction that flexes across store formats without losing brand consistency
- Close partnership with buying, planning, marketing and store teams to keep intent aligned end to end
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