Illustrative case study · Healthcare & Life Sciences
HEOR buyers would switch first, for data they can trace.
Whether to enter the real-world evidence market, and which team inside a drug maker to approach first, was the call facing a health data company. Each of four functions supplied 50 of the 200 interviews, and the report took 14 days.
Illustrative example. The company, scenario, and all figures are fictional. They show UserCue’s method and deliverable format. They do not come from any client study.
The engagement
Illustrative scenariodays, with the report, the data file and a live readout.
People who pick or renew their team’s real-world evidence vendor.
50 each in R&D, HEOR, medical affairs and commercial.
Eight vendor criteria ranked by function, then switching at three price steps.
A health data company
Whether to enter the real-world evidence market, and which team to target first
Market entry assessment, before building a sales team
AI-moderated interviews with ranked criteria and a price ladder
Selection criteria, vendor satisfaction, switching, price steps
Buyers in R&D, HEOR, medical affairs and commercial
Headline figures
of HEOR buyers would likely switch at today’s price, over double the other three functions combined
of HEOR buyers are satisfied with their current vendor on traceable data lineage
of all buyers would likely switch at a fifth below today’s price, up from 28%
The question
Which team would switch to a new evidence vendor?
The data company saw drug makers spreading real-world evidence work across several vendors, each chosen by a different function. Before it built a sales team, it needed evidence from the people who pick and renew those vendors, with an equal voice for R&D, health economics and outcomes research (HEOR), medical affairs and commercial.
What does each function weigh most when it chooses a real-world evidence vendor?
How likely is each function to switch from the vendor it uses today?
How much does price move the decision to switch?
What we did
How the study ran, start to finish.
- 1Kickoff
Find the team that would switch.
Is there room for one more real-world evidence vendor, and which team inside a drug maker would be quickest to switch to us? The kickoff turned it into three questions: the criteria each function weighs, who would switch, and how much price matters.
- 2Design
Four functions, eight criteria.
Only buyers who had picked or renewed their team’s evidence vendor qualified: 50 each in R&D, HEOR, medical affairs and commercial. After ranking criteria and the proof they need, each buyer rated switching at today’s price, a tenth below and a fifth below.
- 3Fielding
When the data fell short.
Each buyer walked through the last time their data fell short, by voice or text, quant and qual in one conversation; median length 31 minutes. The researcher read all 237 and removed 37 for wrong roles, no vendor decision or contradictions, leaving 200.
- 4Analysis
HEOR teams would move first.
The researcher ranked the criteria function by function: HEOR puts traceable data lineage first and rates its current vendor lowest on it. At today’s price, 46% of HEOR buyers would likely switch, over double the rate across the other three combined.
- 5Readout
46% of HEOR buyers would likely switch.
The researcher shared the 27-page report live with the market team: criteria indexed by function, switching at three price steps and verbatims, plus the full data file. The company aimed its entry at HEOR teams and traceable data.
What we found
Four findings from the report.
Buyers weigh patient-level depth first, but HEOR puts traceable data lineage at the top and rates its current vendors lowest on it. HEOR teams are the most likely to switch: 46%, over double the other three functions combined. A discount moves few buyers; a side-by-side test on their own question is the proof most of them ask for.
Buyers rank patient-level depth first and price sixth.
Indexed to the top criterion, patient-level depth scores 100 and traceable data lineage 87. Refresh speed follows at 73. Price scores 45, behind coverage of rare populations and a vendor’s publication track record.
Criteria index, top criterion = 100 · 4 of 8 shown · n = 200HEOR puts data lineage first, and rates its vendors lowest on it.
Within HEOR, traceable data lineage scores 100 and patient-level depth 83. Only 38% of HEOR buyers are satisfied with their current vendor on lineage, against 58% in commercial.
Satisfied with current vendor on data lineage · n = 50 per functionHEOR teams are the most likely to switch.
At today’s price, 46% of HEOR buyers would likely switch their main vendor if a new one met their top criteria. Across R&D, medical affairs and commercial the share is 21%, and 28% across all 200.
A fifth off the price lifts switching by six points.
Across all 200 buyers, likely switching rises from 28% at today’s price to 31% at a tenth below and 34% at a fifth below. 68% would need a side-by-side test on one of their own questions before moving.
Likely to switch vendors, top-two box · n = 200“A reviewer asks where a cohort came from, I can’t show them, and the whole package stalls. A vendor who can trace every record gets my next contract.”HEOR director · Illustrative quote
Illustrative quotes
Three themes behind the numbers.
“Our vendor gives us plenty of volume, but every time we ask how a variable was derived, it turns into a long email thread.”
“We have years of code built on one vendor’s data model. A cheaper price doesn’t cover rebuilding all of that.”
“Run my question on your data next to theirs. If yours holds up, we can talk. A slide deck won’t get you there.”
What the data company did
Three moves made with the report.
Targeted HEOR teams first.
The first offer leads with data traced to its source and a side-by-side test on one of the buyer’s own questions.
Built lineage into the first release.
Every cohort in the first release traces to its source records, the criterion where only 38% of HEOR buyers are satisfied with their current vendor.
Launched at market price, with no discount.
A fifth off the price lifted switching by six points, so the launch budget went to side-by-side tests, the proof 68% of buyers ask for.
Illustrative example. The company, scenario, and all figures are fictional. They show UserCue’s method and deliverable format. They do not come from any client study.
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