The Bayer Animal Health acquisition left Elanco holding 400+ websites and products with no shared way to assess them. Continuous Discovery is the operating framework I designed and ran in response — objectives, plan, problem, solution, deliverables — a timeboxed loop any team completes in one to six weeks. It became the default cadence for new teams, and its outputs seeded the design system and ElancoGPT.
Two merged digital estates — Elanco’s and Bayer Animal Health’s.
Objectives, plan, problem, solution, deliverables.
Research & design capped — then iterate or deliver.
Pre-discovery, run by Solution Engineering — my ownership begins at objectives.
The merger folded two companies’ digital estates into one — 400+ properties on different stacks, from different agencies, for different markets — and every keep, merge, retire, or rebuild decision needed evidence no two teams gathered the same way. My bet: treat discovery as a designed system. One week of setup, a hard one-to-four-week cap on research and design, a fixed deliverable set every cycle — a timebox that forces the only question a portfolio cares about: what do we know well enough to act on, and what earns another iteration?
This is the framework as teams saw it. Solution Engineering owned pre-discovery — the charter and DeliveryOps gates that keep unfunded work out. Everything from objectives to deliverables is the system I designed and ran; the loop back from delivery is what makes it continuous rather than a one-shot phase.
Charter / business case, then DeliveryOps. No gate, no team. Owned upstream — my system starts where this ends.
Discovery assessment, stakeholder ID, discovery brief, brief deck, kickoff. One week, no exceptions.
Interviews, RACI, experience maps, usability testing, tech research, content inventory — framed as JTBD opportunity statements.
Affinity mapping, journeys, personas, wireframes, prototypes, tech POCs — converging on an opportunity solution tree.
Discovery debrief, debrief deck, journey / service maps, user needs statements. Iterate loops back; deliver closes the cycle.
Brand sites, species portals, product pages, internal tools — from two companies, dozens of agencies, and every era of the web. The portfolio couldn’t be reasoned about because no two properties had been assessed the same way.
Gate one asks for a charter and business case; gate two asks DeliveryOps whether a team can carry it. Properties route toward modernize, merge, keep, or retire — only the ones that clear both gates get a discovery team.
One week to form the team and plan. One to four weeks — hard cap — for research and design. One week to iterate and deliver. The timebox is what let the same designers cover a portfolio instead of a project.
Objectives commits to named stakeholders. Plan commits to a kickoff-ready brief. Problem commits to JTBD opportunity statements. Solution commits to an opportunity solution tree. Discovery became legible because every stage had a contract, not a vibe.
Debrief deck, journey map, service / systems map, post-mortem — identical shape whether the cycle took one week or six. Comparable outputs are what turned hundreds of one-off assessments into a portfolio view — and what the design system and ElancoGPT teams built on next.
UpLook is the feedlot-management tool inside Elanco Knowledge Solutions — one of nine proprietary services for Beef and Dairy operators. One workspace per site: build and edit cattle diets by ingredient, track utilities, and read every change in a live activity feed. EKS Modernization rebuilt it into the shape later properties were measured against.
EKS Modernization was the program that redesigned UpLook, Elanco Knowledge Systems’ feedlot management tool; this cycle ran against Passport, its enrollment system. Objective: enable self-service onboarding for Beef and Dairy customers by naming the customer-experience, business-process, and technology changes required. Below is the cycle’s output — decisions, not decks.
What are the key pain points for Uplook customers in Beef and Dairy in the current EKS Passport onboarding? → Stakeholder map + interviews, current-state service blueprint.
How do we design self-service onboarding that improves CX while holding security and compliance? → Future-state blueprint: the operational foundation for a new service.
Twelve interviews affinity-mapped into three themes — self-service enrollment, data validation & accuracy, communication & collaboration — answered by four recommendations:
Clearly communicate who does what across account reps and sales in fulfilling enrollment — the role confusion was the top frontstage pain.
Sales rep, EKS team, and customer see the same information — ending the version drift that stalled enrollments.
Sync form fields with CRM and identity management to cut form errors, manual data entry, and documentation churn — the backstage cost driving onboarding delay.
Eight general enrollment steps — select, initiate, configure, provision, migrate, train, integrate — became the backbone of the self-service flow and the modernized UpLook below.
Full decks don’t belong on a portfolio page, so each is reconstructed as data — rebuilt from the EKS Modernization debrief and the Project HoneyBee kickoff + case study. HoneyBee ran first — the lower-stakes cycle that proved the loop before it carried the higher-stakes EKS / UpLook rebuild. Originals available on request.
“Tell me what I need to do. If it doesn’t drive action, it won’t work.”
HoneyBee’s primary user is the System Custodian / Delegate — the person accountable for keeping a portfolio of applications healthy. Discovery framed the whole dashboard around one test: does a screen turn a signal into a next action?
An internal, read-mostly tool with a known audience carried less risk than a customer-facing rebuild — the right place to run the loop end-to-end and pressure-test the deliverable set before EKS / UpLook.
Outcomes below were read with the product managers and DeliveryOps leads who owned the portfolio — directional, not audited metrics.
Open-ended research is how a 400-site portfolio stays unassessed forever. Capping research & design at four weeks — and letting iteration earn more time — is the single decision that made coverage possible.
The gates arrived after the first cycles, so early teams ran discovery on properties that were later retired anyway. Gating the portfolio before designing the loop would have saved those cycles.