Analytics

Turn data into meaning. Our analytics translate interviews, surveys, and other inputs into actionable intelligence — from individual insights to full organizational intelligence.

Group & Organizational Analytics

  • Purpose:
    A concise summary and overview of the collective responses that provides an efficient way to quickly digest the main points from the research data.

    Primary Elements:

    • Text-based summary and qualitative analysis of the topics covered with research findings, and key insights

    • Metadata such as participation rates, demographic or segmentation data, and general project overview

    • Prominent words and phrases visualized by a word cloud

    • Noteworthy quotes from the responses

  • Purpose:
    Explore how different ideas, behaviors, and groups relate to one another. We identify overlaps, distinctions, interdependencies, and hidden patterns between questions, topics, and segments.

    Use Cases:

    • Discover commonalities and unique differences between groups

    • Surface exclusive vs shared preferences

    • Analyze attitudes, behaviors, and response patterns by segment

    • Detect bias and latent drivers

    • Conduct multivariate and principal component analysis

    Data Types & Techniques:

    • Comparative quantities across multiple respondent sub-groups

    • Correlation mapping between themes, topics, or questions

    • Dual-preference and co-behavior analysis

    • Segment-level distribution analysis

    Output Formats:

    • Side-by-side comparison tables

    • Correlation heatmaps

    • Principal component visualizations

    • Written summaries of group dynamics and overlaps

  • Purpose:
    Convert structured or unstructured response data into categorized topics and response buckets for distribution analysis and visualization.

    Topic Categorization:

    • Individual questions asked during the interview survey

    • Topical threads that combine related questions

    • Emergent themes that were detected

    Response Categorization:

    • Pre-defined response options configured in the survey template

    • Designated response buckets aligned with research objectives

    • Emergent response themes determined through semantic analysis

  • Purpose:
    Visualize how key words, concepts, and ideas are connected within open-ended responses. Semantic network maps reveal the deeper structure of thought by uncovering clusters, themes, and relationships that show how people truly think about a topic.

    Use Cases:

    • Identify central themes vs. peripheral concepts

    • Detect co-occurring ideas and associations

    • Understand the conceptual architecture of stakeholder responses

    • Enhance qualitative insights with visual context

    Output Formats:

    • Static Maps – Clean, exportable graphics ideal for reports and presentations

    • Interactive Maps – Clickable, drill-down visualizations with direct reference links to original responses

  • Purpose:
    Visually display attributes of sentiment such as emotional intensity and polarity, emotional class, etc. to understand how groups and individuals feel about specified topics or propositions.

    Output Attributes:

    • Numerical values for emotional polarity and intensity

    • Sentiment classifications

    • Interpretative and explanatory inferences

    Output Format:

    • Scatter plots for numerical values

    • Pie and bar charts for classifications

    • Text analysis

  • Purpose:
    Capture, organize, and maintain meaningful insights within structured, living profiles — designed to support strategic decisions, track progress, and provide contextual intelligence over time.

    What It Is:
    We create dynamic profiles for organizations, teams, and individuals using customizable frameworks that evolve with continued input and analysis. These profiles serve as anchor points for evaluating change, enabling targeted insight retrieval, and guiding collaboration.

    Examples:

    • Organizational Profiles – Key elements such as people, operations, customers, product, and business model

    • Team Profiles – Objectives, resources, workflows, and collaboration structures

    • Department or Initiative Snapshots – Specific goals, outcomes, and evolving challenges

    How It Works:
    We synthesize multiple data inputs — conversational surveys, documents, assessments, and analytics — into profile frameworks tailored to your structure and needs. These profiles are designed for durability, accessibility, and real-time relevance.

    Use Cases:

    • Track transformation efforts or strategic alignment over time

    • Quickly surface contextual insights during planning or decision-making

    • Support team development, onboarding, and cross-functional understanding

    Value:
    Profiles become a persistent intelligence layer — not just a snapshot, but a living asset your teams can build on.

Individual-level Analytics

  • Purpose:
    To assess the overall usefulness and integrity of participant responses. This analysis helps identify high-quality contributions, measure engagement, and filter out low-effort or irrelevant inputs — ensuring your insights are grounded in substance.

    Evaluation Criteria:

    • Sincerity – Detects authentic, earnest contributions vs. dismissive or apathetic responses

    • Effort – Measures thoughtfulness through response length, avoidance of repetition, and completion

    • Insightfulness – Identifies originality and relevance relative to the group and research goals

    • Coherence – Assesses internal logic, flow, and alignment with the questions asked

    • Depth – Looks for clarifying examples, elaboration, and contextual richness

    Value:
    This layer of analysis enhances data quality by highlighting which responses are truly insightful and actionable — and which might be noise.

  • Purpose:
    Transform unstructured, qualitative input into structured numerical scores — enabling comparison, benchmarking, statistical analysis, and standardized evaluations across individuals or groups.

    Use Cases:

    • Measuring dispositions, mindsets, and attitudes

    • Assessing skills, strengths, and growth potential

    • Evaluating applicants, employees, or stakeholders against defined criteria

    How It Works:
    We apply advanced AI models to linguistic and contextual data to generate quantifiable scores across custom dimensions. These scores can be used to rank, compare, visualize distributions, or feed into broader evaluation frameworks.

    Customization:
    We offer the ability to create proprietary scoring methodologies based on your organization's unique frameworks, internal knowledge, or strategic objectives — ensuring every score is fit for purpose.

    Output Formats:

    • Scorecards

    • Visual distributions and heatmaps

    • Group-level comparisons

    • Integrated dashboards

  • Purpose:
    Capture the essence of individual perspectives while creating a lasting intelligence layer for continued reference and strategic use. This offering combines a summary of each respondent’s interview with a structured profile that evolves over time.

    What’s Included:

    • Intelligence Profiles – Structured, queryable profiles that store preferences, patterns, personality insights, and more — acting as persistent anchors for future comparison and action.

    Examples of Profile Attributes:

    • Customer preferences, behavioral indicators, decision-making styles

    • Employee goals, skills, strengths, and learning needs

    • Stakeholder influence, network connections, and engagement levels

    Format:

    • Text-based summary report (PDF) with headings, paragraphs, and bulleted insights

    • Customizable profile framework tied to strategic intelligence dimensions

    Customization:
    Tailor both the summary structure and the profile framework to reflect your organization’s unique goals, language, and models.

    How It Works:
    We synthesize conversational input and supporting metadata into coherent narratives and intelligence frameworks — turning raw responses into enduring strategic assets.