About SenseMaker
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SenseMaker by Cognitive Edge is an innovative decision support software that helps users make sense of complex data and information to drive better decision-making. One of its standout features is its ability to analyze qualitative data, such as narratives and stories, using a unique approach called Sensemaking. This allows users to uncover patterns, connections, and insights that may be hidden in traditional data analysis methods. The user interface of SenseMaker is designed to be intuitive and user-friendly, with features that enhance the overall experience. The software provides visualizations and data representations that are easy to understand, making it accessible to users with varying levels of technical expertise. Its dashboard layout allows for easy navigation and quick access to key functionalities, improving usability. The core functionalities of SenseMaker set it apart from its competitors. Its Sensemaking approach leverages human interpretation and understanding to analyze complex data, offering a more holistic and nuanced view of the information at hand. This innovative aspect allows users to gain deeper insights and make more informed decisions based on a comprehensive understanding of the data.
Pros & Cons
- +Empowers Participants
- +Self-signification preserves the integrity of individual context and reduces interpretation bias.
- +Reveals Hidden Patterns
- +Makes it possible to detect weak signals and emergent behaviors not visible through traditional surveys or metrics.
- +Highly Adaptable
- +Can be tailored to sectors like public policy, healthcare, education, NGO work, innovation, and organizational change.
- +Supports Complex Decision-Making
- +Ideal for messy, dynamic environments where clear answers are not immediately available.
- −Steep Learning Curve
- −Requires time and training to effectively design frameworks and interpret results.
- −Complex Interface for Beginners
- −Tools like triads, dyads, and heatmaps may confuse users unfamiliar with complexity concepts.
- −Not a Traditional Survey Tool
- −More involved than typical survey platforms—may be too advanced for simple feedback collection.
- −Requires Custom Analysis
- −Lacks standard “one-click” reports; analysis often requires expert interpretation.
- −Participant Onboarding May Be Needed
- −Participants may need guidance to understand how to enter stories and use the self-signification tools.
Features
Key features
- Micro-Narrative Collection & Self-Signification
- Participants share short, personal stories ("micro-narratives") and assign their own meaning using visual tools like triads and dyads, capturing deep contextual insight from their own perspective.
- Pattern Detection in Complexity
- Aggregates thousands of self-signified stories into visual patterns (density maps, contour plots) to detect emergent trends and systemic signals across complex environments.
- Configurable Engagement & Framework Tools
- Enables users to design custom questionnaires ("Engagements") and analysis models ("Frameworks") to suit specific decision-making or research contexts.
- Real-Time, Participatory Analytics
- Provides live, interactive dashboards for teams to explore patterns in narrative data and examine individual stories for qualitative depth.
- Iterative Sensemaking Process
- Supports continuous feedback cycles—design, collect, analyze, respond—ideal for adaptive strategy and responsive intervention in complex systems.
Additional features
- Distributed Ethnography
- Collects and codes real experiences at scale, allowing diverse participants to self-interpret their own stories without external analyst bias.
- Use of Triads, Dyads, and Sliders
- Offers nuanced signifier tools for meaning attribution that allow multidimensional data capture beyond linear surveys.
- Visual Mapping & Analysis
- Displays data via scatterplots, heatmaps, and contours to highlight clusters, gaps, and system dynamics.
- Multi-Modal Engagements
- Supports storytelling, surveys, journaling, MassSense simulations, and scenario-based sensing to capture diverse data types.
- Custom Dashboard Configuration
- Design and manage data collection tools, frameworks, and access rights from a centralized interface.
- Pre-Built Template Library
- Offers reusable templates for common applications like culture scans, civic sensing, and change management.
- Narrative Drill-Down
- Users can click on any visual data point to read the actual story behind it for richer interpretation.
- Data Segmentation & Filtering
- Allows comparative analysis by demographics, regions, themes, or time windows.
- Iterative Longitudinal Probing
- Enables repeated data collection over time to detect shifts, tensions, or transitions in complex systems.
Pricing
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About SenseMaker
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SenseMaker Details
SenseMaker's In-App Market Place
Does SenseMaker have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), MXN (Mex$), RUB (₽)
Pros & Cons
- Empowers Participants
- Self-signification preserves the integrity of individual context and reduces interpretation bias.
- Reveals Hidden Patterns
- Makes it possible to detect weak signals and emergent behaviors not visible through traditional surveys or metrics.
- Highly Adaptable
- Can be tailored to sectors like public policy, healthcare, education, NGO work, innovation, and organizational change.
- Supports Complex Decision-Making
- Ideal for messy, dynamic environments where clear answers are not immediately available.
- Steep Learning Curve
- Requires time and training to effectively design frameworks and interpret results.
- Complex Interface for Beginners
- Tools like triads, dyads, and heatmaps may confuse users unfamiliar with complexity concepts.
- Not a Traditional Survey Tool
- More involved than typical survey platforms—may be too advanced for simple feedback collection.
- Requires Custom Analysis
- Lacks standard “one-click” reports; analysis often requires expert interpretation.
- Participant Onboarding May Be Needed
- Participants may need guidance to understand how to enter stories and use the self-signification tools.
SenseMaker's Support Options
Email Address
members@thecynefin.coChatbot
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