Advarra Analytics
Turning clinical trial data into decisions people could actually use
Product Manager · Data Platforms | Advarra
Proof in Action: Bring Analytics to the People!
The Problem
Clinical research organizations were sitting on enormous amounts of operational data, but having data wasn't the same as being able to use it.
The Product Opportunity
Make analytics accessible to the people who actually make research decisions — without requiring them to understand the underlying database.
The analytics experience was only as good as the data underneath it.
Source App → Data infrastructure → Analytics layer → Customer
How I Helped Us Get There
Defined product requirements for the analytics ecosystem.
Partnered with Engineering on data architecture and platform decisions.
Worked through the transition of data workloads toward a new standard.
Helped establish how data would be made available for downstream analytics.
Considered data quality, access, scalability, performance, and usability as part of product decisions.
Connected technical platform work back to customer-facing outcomes.
The challenge wasn't building another dashboard.
It was making analytics useful to someone who doesn't want to think about databases.
Laur’s Product Operating Model
I seek to understand the customer, their workflow, and the problem we're actually trying to solve before jumping to a solution.
Deliverable: A clear understanding of what problem matters and why.
Discover
Not every customer request, idea, or opportunity can become a product initiative. I balance customer value with business priorities, technical feasibility, dependencies, and available capacity.
Deliverable: A focused roadmap and a shared understanding of what we're doing and why.
Prioritize
Make sure the product succeeds beyond the development team.
Deliverable: Customers and internal teams know what the product does, why it matters, and how to use it.
Enable
I work closely with Engineering and cross-functional teams to translate product direction into clear, actionable work while staying engaged through delivery.
Deliverable: A product that actually makes it from an idea to a usable experience.
Deliver
Launching isn't the end of the product process. I use customer feedback, adoption, data, and what we learn during delivery to continuously refine the product.
Deliverable: The next set of product decisions.
Iterate