Design Manager, paired with a product counterpart — the study run by the two of us, on our own initiative; the method design, the sample, and the external phase were mine
Timeline
~2–3 months (internal + external phases)
Result
bet redirected before the build · portal cut to less than a quarter of the original scope · evidence became a gate in the prioritization process
01 — My role
Retail media is one of the company’s central B2B revenue bets: getting the industry’s biggest advertisers to invest, keep investing, and invest more.
The area’s leadership came to tech with the solution already designed, an on-demand platform where the industry would see:
what was planned and what was live
campaign results and assortment data
as a bonus, it would free up the commercial team’s time
My role: build this.
The case, in the order it happened
02What was at stake
Months of a squad, the top players, and a risk no one had put on the table.
Building the portal meant months of a squad on a product with no adoption validation whatsoever, touching the relationship with the advertisers who concentrated most of the category’s investment. And there was a third risk, invisible in the brief:
03From brief to the right questions
I didn’t accept the brief as a feature request. And I didn’t hand back an opinion-based “no” either.
I turned the pre-baked solution into three testable questions:
1. Does it need to be digital?
2. Would there be adoption to justify building it, and maintaining it?
3. What’s the industry’s real pain?
And I designed the study in two waves, to answer them with evidence:
Wave 1 · in-house
Commercial, planning, operations, brand studio, leadership, plus a benchmark with a global retail media operator. A front run by my counterpart, on the design I did.
Wave 2 · the industry itself
With me leading: eight large advertisers, deliberately segmented by media maturity.
04The study, with the craft of someone who signs it
A “no” to an executive doesn’t hold up on opinion. It holds up on evidence.
Leadership’s questions stayed as the study’s spine: tested, not replaced. The sample, designed by maturity, armored any cut against accusations of bias. And every finding stayed traceable to its source quote.
this isn’t a case of directing a team: my counterpart and I ran the study with our own hands. the seniority is in the method design and in the stakeholder negotiation from data.
The study plan that held up the “no”:
What this diagram proves: the "no" was armored by design (waves, a maturity-based sample, traceability), not by opinion.
05What the evidence showed
The pain wasn’t access to data. It was analyzed insight.
The top players didn’t even use the portals they already had from other retailers: “I don’t miss it”; “I have access and no bandwidth to analyze it.” What they were asking for was a reading that would help them decide, and defend budget inside their own companies.
Selling the direction happened in key-messages sessions at each phase, framed as questions instead of verdicts: “do we really want to show all the results to everyone?”
The matrix that turned into the decision, with the original bet in the nearly empty column:
What this diagram proves: the original bet sat in the nearly empty column. The dominant pain, insight analyzed in conversation, wasn't even software.
06The redirection
I redirected the bet before the build.
The investment went where the real waste of hours was: automating execution and proof-of-delivery, and recurring data with a layer of human analysis. The platform vision became automated reporting, at less than ¼ of the original scope.
The bet, before and after:
What this diagram proves: the redirection was a product swap, not a cut: the build went where the real waste was.
Months of a squad avoided
on a product with no validated adoption, plus the opportunity cost reprioritized
Evidence became a gate
bets of that magnitude now require discovery before build: a formal prioritization gate