One of the most valuable Pharma companies saved over 30% research cost by amplifying past data.
An American multinational, pharmaceutical and medical technologies corporation. It is one of the world's most valuable companies and is one of only two U.S.-based companies that has a prime credit rating of AAA.
Industry
Pharmaceutical
Technologies
Voice AI
Transcriptions
Co-Pilot
Facial Coding
Scope
300+ sessions annuallyper country
Context
As part of its consumer research process, the client conducts annual Qual interviews & consumer connects with over 300+ interview sessions in one country alone. These studies are conducted by research agencies and the data is stored with them. The client is struggling to find ways to extract insights from this data pool due to the existing processes.
Problem Statement
In-house Intelligence
There is a lot of intelligence in past research data. But due to intelligence sitting in siloes with agencies, there is a challenge of research data accessibility and searchability within the org
Knowledge Management
There is the risk of low knowledge transfer in the event of attrition within the team. There is also a lack of common system within the org where new team members can look into what happened historically and come up to speed.
Insights Continuity
With multiple standalone studies being conducted and sitting in siloes, it is difficult to connect & get insights from past data. The client wants to create iterative reports to understand research trends, but each report takes the agencies more than a week’s time.
Speed
Limitation in mining more out of past interview sessions due to slower topline (summaries) from manual transcriptions & translations to capture feedback & analyze 100s of consumer interviews that takes about 6-8 weeks.
Here’s How we helped them
1
Decode
A multi-tenant platform to conduct consumer interviews remotely as well as store all sessions, research files and other historical data in a searchable repository.
2
Voice AI
Convert speech to text for instant transcriptions, summaries and tags for streamlined data processing. Refer to highlights and captured key interview segments to save time during data mining.
3
Co-Pilot
Gen AI based research assistant to uncover deep insights, cutting across multiple interviews & files and providing trends and insights within minutes.
4
Facial Coding
Ability to measure engagement & emotion metrics of respondents during interviews.
The Impact Experienced
Research Savings
Amplified results of past research by 6X times leading to over 30% savings on research outflow spends.
Time To Insights
Instantaneous research results and insights instead of 6-8 weeks taken by agencies and saved over 270 manhours per study.
Increased Productivity
Unbiased, accurate insights allowing them to get relevant reports within minutes for data-driven decision making.
Effective Knowledge Transfer
Common system for new team members to sync & ramp up fast during training period within Insights & other teams.
Related Case Studies
One of the most valuable Pharma companies saved over 30% research cost by amplifying past data.
An American multinational, pharmaceutical and medical technologies corporation. It is one of the world's most valuable companies and is one of only two U.S.-based companies that has a prime credit rating of AAA.
Industry
Pharmaceutical
Technologies
Voice AI
Transcriptions
Co-Pilot
Facial Coding
Scope
300+ sessions annuallyper country
Context
As part of its consumer research process, the client conducts annual Qual interviews & consumer connects with over 300+ interview sessions in one country alone. These studies are conducted by research agencies and the data is stored with them. The client is struggling to find ways to extract insights from this data pool due to the existing processes.
Problem Statement
In-house Intelligence
There is a lot of intelligence in past research data. But due to intelligence sitting in siloes with agencies, there is a challenge of research data accessibility and searchability within the org
Knowledge Management
There is the risk of low knowledge transfer in the event of attrition within the team. There is also a lack of common system within the org where new team members can look into what happened historically and come up to speed.
Insights Continuity
With multiple standalone studies being conducted and sitting in siloes, it is difficult to connect & get insights from past data. The client wants to create iterative reports to understand research trends, but each report takes the agencies more than a week’s time.
Speed
Limitation in mining more out of past interview sessions due to slower topline (summaries) from manual transcriptions & translations to capture feedback & analyze 100s of consumer interviews that takes about 6-8 weeks.
Here’s How we helped them
1
Decode
A multi-tenant platform to conduct consumer interviews remotely as well as store all sessions, research files and other historical data in a searchable repository.
2
Voice AI
Convert speech to text for instant transcriptions, summaries and tags for streamlined data processing. Refer to highlights and captured key interview segments to save time during data mining.
3
Co-Pilot
Gen AI based research assistant to uncover deep insights, cutting across multiple interviews & files and providing trends and insights within minutes.
4
Facial Coding
Ability to measure engagement & emotion metrics of respondents during interviews.
The Impact Experienced
Research Savings
Amplified results of past research by 6X times leading to over 30% savings on research outflow spends.
Time To Insights
Instantaneous research results and insights instead of 6-8 weeks taken by agencies and saved over 270 manhours per study.
Increased Productivity
Unbiased, accurate insights allowing them to get relevant reports within minutes for data-driven decision making.
Effective Knowledge Transfer
Common system for new team members to sync & ramp up fast during training period within Insights & other teams.
