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Home/Insights/Case Studies/HCLS/Digital Health/Performance Improvement Platform Validation
Product Strategy Research · HCLS / Digital Health

Performance Improvement Platform Validation

Digital HealthHealth SystemsPerformance ImprovementConcept Validation
Research Report · PDF · 28 Pages
USERCUE
Research Report
01
HCLS · Digital Health · Research
Performance Improvement Platform Validation
Product Strategy Research · HCLS / Digital Health
N=151
Sample
Concept Validation
Type
Multi-region
Geography
21 days
Timeline
Research objectives
  1. Health Systems.
  2. Performance Improvement.
  3. Concept Validation.
  4. MVP Feature Prioritization.
Prepared for
Digital Health
Prepared by
UserCue Research
Date
Mar 2026
UserCue · ConfidentialPage 01
USERCUE
Table of Contents
02
Contents
§ I · Foundation
Executive Summary03
Research Objectives04
Methodology & Sample06
Segment Design08
§ II · Quantitative Findings
Primary Indices by Segment11
Demand Share & Switching14
Driver Strength Analysis18
Heat Map · Cohort × Measure20
§ III · Qualitative Findings
Theme Frequency22
Sentiment & Codebook24
§ IV · Recommendations
Commercial Motion25
Risk Register26
§ V · Appendices
A · Full Crosstabs27
B · Interview Guide28
UserCue · ConfidentialPage 02
USERCUE
Executive Summary
03
Executive Summary · § I
A vast majority see value. Buying group is collaborative, price lands within a well-defined band, timeline is 6 to 18 months.
  • A performance improvement platform sponsor needed to validate market readiness and PMF for an AI-powered system designed to replace the manual workflows health systems use to detect, route, and resolve performance issues.
  • The team needed to know whether the platform commands serious evaluation, what defines an MVP, who controls budget, and what price the market would bear.
  • We ran 151 quantitative interviews with CQOs, COOs, CMOs, and CFOs at acute care health systems above a mid-revenue threshold in net patient revenue.
Topline
N=151
Sample
Concept Validation
Type
Multi-region
Geography
21 days
Timeline
UserCue · ConfidentialPage 03
USERCUE
Methodology & Sample
04
Methodology · § I
N=151. 21 days turnaround. Mixed-method rigor.
Sample
N=151
Digital Health cohort
Type
Digital Health
Quant + AI-mod IDI
Geo
NA 100%
US-based participants
Timeline
21 days
End-to-end
Interview guide topics
  1. Trigger event and the alternatives evaluated
  2. Selection criteria and weighted decision drivers
  3. Workflow fit and integration friction
  4. Willingness-to-pay and pricing band
  5. Switching dynamics and churn signals
  6. Competitive positioning and category leadership
Recruit criteria
  • Active decision-makers · authority over selection
  • 8+ years in role or category
  • Mix of current users, churned accounts, and evaluators
  • Balanced across firm size and geography
Analysis: indices composited from Likert intent, behavioral measures, and ranked drivers · z-scored within segment · indexed to segment peak = 100.
UserCue · ConfidentialPage 04
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Quantitative Analysis
05
Quantitative Analysis · § II
Indexed performance, demand share, and driver strength.
Primary Index by Segment
Segment A100
Segment B78
Segment C62
Projected 12mo Demand Share
Segment A42%
Segment B34%
Segment C24%
A > C · p<.01B > C · p<.05n=151
UserCue · ConfidentialPage 05
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Qualitative Analysis
06
Qualitative Analysis · § III
Voice of decision-maker — workflow fit dominates.
Theme frequency
Workflow fit41
Pricing & ROI33
Competitive friction27
Switching cost22
Product gaps14
Sentiment analysis
Pos 62%
Neu 28%
Neg 10%
Codebook note — 11 parent themes, 34 sub-themes, IRR κ=.81 across human reviewers.
UserCue · ConfidentialPage 06
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Conclusions & Implications
07
Conclusions & Implications · § IV
Three moves from the research.
RECOMMENDATION 01
Anchor the commercial motion to the highest-conviction segment.
Reallocate territory and headcount to match the segment that scored on every adoption metric — not the one named in the original plan.
RECOMMENDATION 02
Reprice the offering against the willingness-to-pay band.
The data names a tighter pricing band than the current sticker. Move list price into the band and use packaging — not discounting — to absorb pressure at the top.
RECOMMENDATION 03
Close the workflow gaps that drove churn in discontinued accounts.
Three friction points appear in every churn interview. Two are product gaps; one is integration-shaped. Sequence those into the next two release cycles.
Success criteria · 12 mo
  • Lead segment ≥60% of Y1 units
  • Net new expansion ≥2.0×
  • Win-rate vs named alternative ≥65%
  • Territory coverage ≥85%
Risk register
Incumbent vendor responseHIGH
Reimbursement / pricing shiftMED
Workflow change resistanceLOW
Channel partner conflictMED
UserCue · ConfidentialPage 07
Sample
N=151
C-Suite and VP leaders at acute care health systems
Type
Concept Validation
MVP feature prioritization, buying group, pricing
Geography
Multi-region
Cross-region sample across major markets
Timeline
21 days
Kickoff to final report and analysis
Study Overview

A vast majority see value. Buying group is collaborative, price lands within a well-defined band, timeline is 6 to 18 months.

A performance improvement platform sponsor needed to validate market readiness and PMF for an AI-powered system designed to replace the manual workflows health systems use to detect, route, and resolve performance issues. The team needed to know whether the platform commands serious evaluation, what defines an MVP, who controls budget, and what price the market would bear. We ran 151 quantitative interviews with CQOs, COOs, CMOs, and CFOs at acute care health systems above a mid-revenue threshold in net patient revenue.

Also delivered as
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Slide 04 / 22
HEADLINE FINDING
EM leads adoption on every metric.
100
EM index
78
EP index
62
Cardio idx
ConfidentialUserCue
PPTX · Findings deck
Final Report and Analysis
Full findings across multiple sections: workflow diagnostic, concept reaction, component value, buying group, evaluation process, budget ownership, trust requirements, and pricing.
MEMORANDUM
TO: VP Commercial   RE: Launch Architecture
Dual-track launch replaces cardiology-first plan
EM outperformed on every adoption metric. EP followed. Cardiology cycled slower due to legacy-vendor inertia.
  • Reallocate 60% to EM + EP
  • 2.1× net new expansion
  • Y1 targets anchored to expansion
UserCue · 6 pages · DOCX
DOCX · Exec memo
Executive Summary and Top Line Insights
Headline reads on concept value by role, MVP component prioritization, buying group composition, optimal price point, and licensing model preference.
X
Crosstab.xlsx
File Home Insert Data View
A
B
C
D
E
1
Segment
Intent
Vol
Switch
Idx
2
EM
92
89
96
100
3
EP
74
71
82
78
4
Cardio
58
55
62
62
Adoption
Volume
+
Segmented tables
Crosstab Workbook
Concept value, component prioritization, and pricing crosstabbed by C-Suite role, organization type, revenue tier, and AI maturity.
findings.usercue.com/study
USERCUE
FINDINGSDATAQUOTES
INTERACTIVE FINDINGS
Browse the full findings hub.
100
Index
2.1×
Expansion
60/40
Split
WEB · Findings Hub
Interactive Findings Hub
Browseable findings hub with filtered cuts, quote search, and exportable charts
On this page
  • Hero Finding
  • Study Design
  • Key Findings
  • Crosstab
  • Heat Map
  • Voice of Customer
  • Counter-intuitive
  • Implications
Sections
Hero Finding

A vast majority of health system executives rate the performance improvement platform moderately to very valuable, and a majority would recommend serious evaluation: the concept clears the market threshold, but role-based enthusiasm bifurcates.

Across 151 C-Suite and VP leaders at acute care health systems, a vast majority rate the concept moderately to very valuable. CQOs and COOs are the strongest advocates (a majority of each rate it very or extremely valuable), driven by the promise of proactive, real-time monitoring. CMOs show high very-valuable ratings but the lowest extremely-valuable score, reflecting measured optimism contingent on physician trust in automated analytics. CFOs are the most cautious: a majority rate the concept only moderately valuable, with AI accuracy and financial justification as primary concerns.

CQO: very or extremely valuable96COO: very or extremely valuable100CMO: very valuable84CFO: moderately valuable100All roles: moderately to very valuable100All roles: would recommend serious evaluation66Concept value rating by C-Suite role · share of role rating concept at the stated valuation level · indexed to peak = 100CQO: very or extremely valuable96COO: very or extremely valuable100CMO: very valuable84CFO: moderately valuable100All roles: moderately to very valuable100All roles: would recommend serious evaluation66Concept value rating by C-Suite role · share of role rating concept at the stated valuation level · indexed to peak = 100
Vast majority
Rate the platform moderately to very valuable
Majority
Would recommend serious evaluation
Top component
Automated root cause rated transformative or high incremental value
Mid-six-figure
Optimal annual price band
Study Design

N=151 C-Suite and VP leaders at acute care health systems above a mid-revenue threshold · structured quantitative survey with concept exposure.

The sample was designed to reach the executives with budget authority and organizational influence over enterprise performance improvement technology purchases, balanced across organization type, revenue tier, region, and the four functional roles closest to the use case.

Sample segmentation

Chief Quality Officer34%
Chief Operating Officer29%
Chief Medical Officer22%
Chief Financial Officer15%
Large IDN · 62
Academic Medical Center · 55
Independent System · 34

Interview guide · core topics

  • Performance monitoring, issue routing, and root cause workflows: tools, owners, and resolution timelines
  • Concept reaction: initial value rating, recommendation to evaluate, and concerns by C-Suite role
  • Component-level incremental value: signal detection, automated root cause, ownership routing, best practice library
  • MVP classification: which capabilities are essential for launch versus future enhancement
  • Buying group composition: initiators, evaluators, approvers, and final decision authority
  • Evaluation-to-go-live timeline, budget ownership, and funding sources
  • Trust and adoption requirements for automated root cause analysis: validation, transparency, governance
  • Pricing thresholds and preferred licensing models: fixed annual, outcomes-linked, hybrid, tiered, per-use-case

Recruit criteria

  • C-Suite executive (Chief level) or Senior VP, EVP, or VP at an acute care hospital or health system
  • Functional role in Quality, Operations, Medical Affairs, or Finance with influence over performance improvement technology decisions
  • Organization above a mid-revenue threshold in net patient revenue; majority materially above
  • Decision-maker or significant influencer on enterprise technology selection, budget approval, or buying group participation
Key Findings

What the research surfaced for product strategy and commercial planning.

Six signals defined the MVP feature set, the buying group blueprint, and the commercial model parameters.

Vast majority
Rate the platform moderately to very valuable
Top component
Automated root cause rated transformative or high value
Majority
Report resolution cycles of 2 weeks to 2 months
Majority
Would fund through enterprise tech or transformation budgets
Top model
Fixed annual licensing leads as the preferred pricing model
Mid-six-figure
Optimal annual price band
01

Current performance improvement workflows are predominantly manual, fragmented, and slow: a majority report resolution cycles of two weeks to two months.

Root cause analysis depends on labor-intensive chart reviews, emails, and committee meetings. A meaningful share cite manual investigation as the primary approach. A similar share rely on EHR-centric data foundations that require manual analytics. Tracking happens on spreadsheets and emails. Executives identify acceleration and proactive detection, automation, and integration of fragmented data sources as the top desired changes.

02

Concept enthusiasm bifurcates by C-Suite role: CQOs and COOs lead, CMOs are conditionally optimistic, CFOs require financial proof.

CQOs and COOs are the strongest advocates (a majority of each rate it very or extremely valuable), driven by proactive, real-time monitoring. CMOs rate high on very valuable but lowest on extremely valuable, with adoption contingent on physician trust in automated analytics. CFOs show the highest moderately valuable rating and cite AI accuracy and reliability and financial justification as primary concerns. Implementation feasibility, not conceptual objection, drives the gap.

03

Automated root cause is the highest-value MVP component and the most divided trust response.

Automated root cause leads all components in incremental value rating, ahead of monitoring and signal detection and prioritization. Reactions split: a meaningful share express immediate enthusiasm for operational efficiency gains, a smaller minority voice skepticism about accuracy and reliability, and another minority express conditional enthusiasm requiring empirical validation. Published evidence and case studies are the single most critical trust requirement, followed by data source transparency and validation by clinical experts.

04

Length of stay, readmissions, and infection prevention are the top use cases; financial sustainability drives operational metric prioritization.

LOS reduction, readmission reduction, and infection and complication prevention are the most common use cases. When forced to rank, LOS, infection and complication prevention, and mortality improvement emerge as the highest priorities. LOS reduction is rationalized by financial sustainability under fixed payment and cost pressure, while infection prevention and mortality improvement are driven by clinical mission. LOS dominates daily executive attention as the most universally cited priority.

05

The buying group is collaborative and multi-layered: clinical and quality leadership initiate, CFOs control budgets, enterprise budgets fund.

Clinical and quality leadership initiates a meaningful share of evaluations. Final purchasing authority is distributed: a meaningful share use collaborative multi-executive decision-making, others centralize to a single C-Suite executive, and a smaller share use formal committee or board governance. CFOs control budgets in roughly half of organizations. A majority would fund the platform through enterprise-level technology or transformation budgets. The evaluation-to-go-live timeline is 6 to 18 months for a strong majority of organizations.

06

Optimal price lands within a well-defined band with role-based variation; fixed annual licensing leads, with CFOs the lone outlier on outcomes-linked pricing.

The optimal annual price band sits in the mid-six-figure range with an acceptable range running from low- to upper-six figures. CQOs and CMOs anchor higher within the band and tolerate the highest ceilings; COOs are most price-sensitive within the band; CFOs show the lowest optimal but the highest upper ceiling. Fixed annual licensing is the dominant overall preference, driven by budget predictability. Outcomes-linked pricing is the secondary preference, driven by shared risk and accountability; CFOs are the only role where outcomes-linked approaches plurality support. Hybrid models attract the most sophisticated buyers.

“Actually, it's quite exciting. Not to have to wait until the end of the week or the end of the month to understand that there is variance happening. It's a proactive versus reactive system.”— Chief Operating Officer, Academic Medical Center
Crosstab · Concept Value by Role

CQOs and COOs lead concept enthusiasm; CFOs concentrate at moderately valuable: a wide gap on extremely valuable between COOs and CMOs defines the role-based positioning challenge.

Concept value distribution across the four C-Suite roles closest to the platform use case (indexed within row to peak = 100). The bifurcation between operational and clinical-financial roles defines the role-targeted messaging and proof requirements.

Extremely valuableVery valuableModerately valuable
Chief Quality Officer (n=52)5110084
Chief Operating Officer (n=44)1007884
Chief Medical Officer (n=33)610069
Chief Financial Officer (n=22)1539100
N=151 C-Suite and VP leadersCOO extremely valuable leads materially over CMOCFO moderately valuable leads materially over COOIndexed · blinded values
Heat Map · Component Incremental Value

Automated root cause and proactive monitoring lead component value across every C-Suite role.

Component rating intensity by role (indexed within row to peak = 100); each cell shows how that role rates the component as transformative or high incremental value, relative to the strongest cell in the row.

CQOCOOCMOCFO
Automated root cause surfacing100968878
Proactive real-time monitoring100938773
Signal detection and prioritization100978979
Ownership and action routing951008569
Best practice library100959173
Voice of Customer

How health system executives describe the workflow gap and the concept fit.

Verbatims from interviews across the sample, selected to represent the range of views on workflow pain, component value, trust requirements, and pricing model preference.

Workflow Pain · Manual Process
“So the root cause analysis, you know, this is typically a manual process for us. We don't really have a platform or a way to automate, I guess, you could say. So it's a manual dive. It does take us about, I'd say, a minimum two to four weeks depending on the severity of the issue.”
— Chief Operating Officer, Academic Medical Center
Concept Fit · Initial Reaction
“If I could change one thing, it would be to create a real-time digital intelligent dashboard. It feels like our thirty to sixty day lag creates a performance problem and time gaps between when we have the information and have something to do about it.”
— Chief Medical Officer, Academic Medical Center
Component Value · Automated RCA
“The root cause analysis seems to be highly powerful, especially if it is a signal driven by statistically correlated drivers. This will eliminate the opinions and personalities that are currently in place with a very manual discussion-based system.”
— Chief Medical Officer, Academic Medical Center
Trust Requirement · Validation
“I think Automated Root Cause Surfacing, if it actually had strong correlation where it was believable and they had some scores around 90% trustworthiness around the root cause surfacing, I would put this as a five. Until that actually comes to fruition, I just have a hard time believing this is actually the case.”
— Chief Operating Officer, Large Integrated Delivery Network
Pricing Model · Fixed Annual
“For my organization, a fixed annual fee will be clearly much better because our health care system is operating in a non-fixed budget. I have to do annual budget, but as approved by the board. So it's better for me to have predictability for cost of such system.”
— Chief Operating Officer, Academic Medical Center
Counter-intuitive

CFOs anchor lowest on optimal price but tolerate the highest ceiling, and they are the only role where outcomes-linked pricing approaches plurality support.

The prevailing assumption is that CFOs are the toughest pricing constraint. The data tells a more textured story. CFOs do anchor the lowest optimal price within the band and rate the concept most cautiously. But they also tolerate the highest upper ceiling when the financial case is demonstrated, and they are the only role where outcomes-linked pricing approaches plurality support. The implication for commercial design is that the CFO conversation is not about discounting to a fixed-fee floor; it is about offering an outcomes-linked or hybrid model that lets the CFO underwrite a higher contract value against demonstrated savings.

Strategic Implications

Three product and commercial moves from the research.

What the platform sponsor took into MVP scoping, buying group enablement, and commercial model design, grounded in the concept value, component, and pricing data.

01

Scope MVP around automated root cause and proactive monitoring; treat best-practice library and ownership routing as fast-followers.

Automated root cause and proactive monitoring are the two components that command MVP-essential classification across every role. Signal detection and prioritization belongs in the launch envelope. Ownership routing and best-practice library should ship as Phase 2 capabilities tied to expansion accounts, not as launch-blocking scope.

02

Build role-targeted proof: published evidence for CMOs, automated RCA validation for COOs, and financial case-study libraries for CFOs.

Concept enthusiasm bifurcates by role and the proof requirements bifurcate with it. CQO and COO accounts will move on operational efficiency demonstrations. CMO accounts require physician-trust assets: published evidence as the top trust requirement, validation by clinical experts, and methodological transparency. CFO accounts require financial justification packages: ROI models, FTE-hour savings, and outcomes-linked pricing options.

03

Lead commercial offer with fixed annual licensing within the optimal band, with a hybrid outcomes-linked option for CFO-led deals.

Fixed annual licensing is the dominant preference, driven by budget predictability. Anchor the offer within the mid-six-figure optimal band, with an acceptable range running from low- to upper-six figures. Layer a hybrid outcomes-linked variant for accounts where the CFO is the gating decision-maker; CFOs are the only role where outcomes-linked pricing reaches plurality support. Position enterprise technology and transformation budgets as the procurement path, not departmental quality budgets.

Success criteria · 12 months

  • MVP ships with automated root cause, proactive monitoring, and signal detection as launch-essential capabilities
  • Role-specific proof libraries built for CMO (clinical validation) and CFO (financial case) before first wave of enterprise demos
  • Fixed annual list price set within the mid-six-figure optimal band; outcomes-linked variant available for CFO-led deals
  • Reference accounts secured across Large IDN, Academic Medical Center, and Independent System segments

Risk register

Physician trust gating CMO adoptionHIGH
AI accuracy concerns from CFO segmentHIGH
6 to 18 month evaluation-to-go-live cyclesMED
Budget predictability vs. outcomes-linked tensionMED
Smaller organization affordability gapLOW
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