USE CASES

Product Decision Flow (ViewpointAI + Clarity)

Our goal: Enable structured, data-driven, and collaborative product decisions, combining human insight with AI-powered analysis.

1. Decision Criteria (Define Product Goals)

  • Purpose: Establish what the product decision is trying to achieve.

  • Human Input: Define key criteria such as:

    • Market fit and customer needs

    • Revenue potential or cost considerations

    • Technical feasibility and resources required

    • Brand alignment and strategic priorities

    • Time-to-market or launch deadlines

  • Clarity’s Role: Suggests additional criteria based on historical product performance, market benchmarks, and competitor analysis.

  • Output: Weighted decision criteria (“viewpoints”) forming the baseline for evaluation.

2. Data Capture (Build the Product Data Room)

  • Purpose: Collect all relevant product-related data for analysis.

  • Human Input: Market research, customer feedback, prototypes, technical specifications, financial projections.

  • Clarity’s Role: Extracts and standardizes structured data from reports, user surveys, and documents; identifies gaps; integrates external market and competitor data.

  • Output: Centralized, AI-enhanced product data room ready for evaluation.

3. Decision Making (Rank & Compare Product Options)

  • Purpose: Evaluate product choices against defined criteria.

  • Human Input: Assess qualitative factors like customer desirability, team capabilities, and strategic fit.

  • Clarity’s Role: Scores and ranks product options, highlights trade-offs, risks, and opportunities, and enables scenario modeling (e.g., “high-risk/high-reward” vs. conservative options).

  • Output: Ranked list of product options with transparent reasoning for each recommendation.

4. Decision Reporting (Transparency & Verification)

  • Purpose: Ensure clarity and accountability in the product decision.

  • Human Input: Approve final product choice and provide contextual insights for stakeholders.

  • Clarity’s Role: Automatically generates a report showing criteria, weighted scores, reasoning, risks, and supporting data.

  • Output: Transparent, auditable report suitable for leadership, product teams, and investors.

Core Capabilities Throughout

  • Human: Expertise, judgment, strategic context, creativity

  • AI (Clarity): Data extraction, scoring, ranking, trade-off analysis, scenario modeling

  • Collaboration: Teams can review criteria, discuss options, and provide input throughout the process

  • Analysis: Identify patterns, risks, opportunities, and market alignment

  • Reporting: Automated documentation ensures transparency, accountability, and traceability

Clarity’s role: Guides the product decision process from criteria definition to final reporting — analyzing options, highlighting trade-offs, and generating transparent reports — while humans make the final decision.

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