Five behaviorally grounded growth experiments,
built from data you already have,
ready to run in two weeks.
Growth leaders are rarely short on data or customer insight. The problem is turning what you already know into new, credible action fast enough to matter. Upstream reviews the research and data you already have, filters it for what actually predicts behavior change, and hands you five ready-to-test growth experiments in two weeks.
Tested against what drives relevance, and where it drops off.
Tested against what reinforces expected benefits once someone is in the product.
Tested against what drives repeat engagement instead of one-off use.
Scoped to your team's real constraints, so you control executional risk.
Certainty got expensive.
Waiting is now the risk.
The old model for turning research into growth was built for a world where taking action was expensive: development hours, resource deployment, real implementation risk. Waiting for certainty was the responsible choice. That math has flipped. When testing something live costs almost nothing, certainty becomes the expensive tradeoff and speed becomes the safe one.
Most growth teams already operate this way. What hasn't caught up is how they coordinate action from research: a process still calibrated to the old certainty bar can't keep pace with partners who no longer wait for one.
From existing insight
to five testable bets
No new primary research required. Upstream reviews the customer and market data you already have, filters it for the elements that actually carry behavior-change logic, and scopes what's left into experiments sized to what your team controls, a single function or a coordinated set.
Three problems.
Three ways this method held up.
Upstream reviewed existing user and clinical data to design the G6 app, balancing the functional need to keep blood sugar in range against the social need to avoid stigma and unwanted attention.
Patient and caregiver journey mapping across the health system's facilities showed where continuity, and trust, breaks down between departments, informing a Command Center model built to hold it together at scale.
Ethnographic research and journey mapping across four continents, then quantitative segmentation, traced why offensive content was hurting engagement and brand sentiment while overloading the support team.
"Upstream's process opened our minds to new ways of addressing our users' needs and approaches for our products to cross from early adopters to the majority."
Dexcom
Director of Research & Development
The same method,
applied for years.
This is the same underlying model Upstream has applied for organizations across scale and category for years, not a new offering built speculatively. An interdisciplinary team brings 20+ years of combined industry and consulting experience, with recent work for some of the largest organizations globally.
One measure of whether a method holds up: the Alzheimer's Association has used Upstream's Path to Diagnosis framework for nearly eight years to align leadership on the behavioral journey of people living with the disease and their caregivers.
More effective experiments
might be closer than you think.
As you churn through ideas, the solution might not be more brainstorming or opening up for more and more perspectives. That can lead to the opposite result: less impact, more noise, and more confusion even when things work out. Upstream finds teams get the most out of their institutional knowledge with better experimental design, rooted in proven decision-making logic.