Objective 1
Evaluate physician attitude & confidence regarding data presented at the conference
Use CaseNew Data Intelligence
Unlocking HCP Market Intelligence at In-Person & Virtual Conferences
A Pharmaceutical company wanted to know what their key stakeholders thought and felt about new clinical data being presented at an important industry conference regarding their product
Industry:Pharmaceutical
Type:Conference Data Impact Assessment
Timeline:3 days
Clinical Data IntelligenceConference Data AnalysisCardiologyHCP Market IntelligencePhysician AttitudesVoice ResearchMarket Reception
Objective 2
Measure physician enthusiasm, or lack thereof, regarding the data that was presented
Objective 3
Determine impact data may have on HCPs' Rx behavior if product approved
The inVibe Solution
The inVibe Solution
inVibe’s New Data Intelligence solution allowed our pharmaceutical client to quickly and efficiently deploy a voice-powered research study to gauge physician reactions to the data presented at a conference.
- Voice-powered research methodology
- Rapid 3-day recruitment of target physicians
- Automated phone interview system
- Advanced NLP tools and speech-emotion recognition
- Interactive online dashboard
- Multi-dimensional analysis (content, language patterns, emotional assessment)
- Conference attendee targeting capability
How We Did It
1
Collect
Collect
Within 3 days, inVibe recruited 20 cardiologists on client target list who had attended conference, in-person or virtually. The physicians reviewed data abstracts on their computers and smartphones, participated in an automated phone interview, and responded to questions about the data simply by speaking.
Participants
Total: 20 cardiologists on client target list who had attended conference, in-person or virtually
Recruitment Time: 3 days
Method: Automated phone interviews via computer/smartphone
Key Questions
Q1
What were your reactions to the data, overall?
Q2
What specific questions or concerns do you have based on this?
Q3
What was the most compelling takeaway from the data sets being released?
Q4
Based on data/information shared at the conference, how do expect to treat your patients in the future?
2
Analyze
inVibe's analysts leveraged their language expertise and advanced NLP tools to process, evaluate and analyze multiple aspects of each physician's response, including content, language, and emotion derived from speech-emotion recognition, allowing for deeper insights, faster.
Techniques
- Language expertise and advanced NLP tools
- Speech-emotion recognition
- Machine learning and acoustic technology
Focus Areas
- What is Said: Summarize and categorize the content and themes
- How it's Said: Identify the language patterns and construction
- How it Sounds: Utilize machine learning and acoustic technology to assess the emotionality
3
Deliver
Deliver
The client received an interactive online dashboard with the voice data, transcripts, and a high-level analysis. An in-house analyst walked the team through each insight, anchoring recommendations in specific moments from the physician interviews.
- Interactive report via online dashboard
- Voice data and transcripts
- High-level analysis summarizing key findings
- In-house analyst walkthrough supporting each insight with specific voice data
- Audiogram tools for creating kinetic text videos from transcripts
- Listening Labs interactive stories assembled from transcripts, audio, and charts
- Expert perspective sessions from in-house analysts
Captured conference reactions from 20 cardiologists within three days to understand how new clinical data was landing.
The insights shaped the launch plan by spotlighting skeptical segments, showing where competitive context was needed, and prioritizing long-term safety narratives to boost confidence.
Insights & Next Steps
Key Insights & Recommendations
Based on the insights, inVibe recommended that the team take the following actions during a brand launch if the product received FDA approval:
Focus on Slow/Late Adopter Physicians
Focus outreach on slow/late adopter physicians leveraging disease state educational campaigns to help overcome the low level of enthusiasm measured with this target segment
Present Competitor Data Context
Present physicians with competitor data alongside their own data to create clear separation between treatment options, as language analysis showed stronger positive attitude among those familiar with competitor data
Develop Long-term Safety Case Studies
Develop case studies that highlight long-term safety data with low-risk patients, as this data generated the highest level of confidence with all physician segments
