
Improving transparency and collaboration in research using collective intelligence tools
A new electronic lab notebook concept from the MIT Center for Collective Intelligence offers a focus on collaborative research strategy
80% of managers don’t believe their organization excels in decision making.
There are several key issues impacting decision-making speed and quality
• Missed Innovation
• Increased Risk
• Reduced Employee Engagement
• Lower Quality of Execution
• Minimal governance
• Lost Intellectual Property and Opportunity for Learning
• Inability to Connect Data to Decisions to ROI
• Incomplete Analysis
• Unexplainable Conclusions
• Lower Results
• Risk Analysis
• Scenario Planning
• M&A Strategy
• Feature Prioritization
• Design Thinking
• Open Innovation
• DEI Strategy
• Participative Policy Development
• Talent Management
• Campaign Planning
• Go To Market Strategy
• Creative Reviews
• QBR Development
• Churn Reduction
• NPS Optimization
• Tracking ROI on Analytics
• Project Prioritization
• Requirements Gathering
1. Define The Right Decision Process
2. Collect Input From Stakeholders
3. Decide and Measure Results
HiveWise is a first-in-class collective intelligence platform designed to optimize the way organizations analyze complex problems, make better decisions and measure results.
HiveWise equips managers with in-depth and organized input from each one of the relevant experts and stakeholders. In addition to broader decision-making participation, HiveWise provides the analytical structure, and transparency needed to reduce risks while increasing innovation, employee engagement, governance and learning.
Based on twelve years of research at MIT, HiveWise is designed to put the power of collective intelligence and decision sciences to work for you.
The Scientist
After more than a decade researching ways to enable people to work together on complex problems at the MIT Center for Collective Intelligence, Dr. Klein met Mark Curtis and together they launched HiveWise.
The Entrepreneur
After selling his last SaaS startup, Branderati, to Sprinklr, Mark began a quest to bring transparency to how data turned into decisions and ROI.
The Engineer
After more than a decade of enterprise and startup experience, Naif took on the challenge of leading the dev team to bring HiveWise to market.
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