Product 360: AI Powered Decisions for SaaS Teams

Get a CX platform for your SaaS product team in just 12-weeks that connects real-time, actionable insights from VoC research, customer feedback, NPS and complaint frequency across product features and customer channels.

Solutions > Product 360


An AI-powered decision support tool for SaaS product teams 

Product 360 is a custom solution for SaaS product teams to uncover where to focus their time and resources.  It is built using a graph database to define relationships between disparate customer data points and is coupled with an AI-powered weighted analysis to reveal what product features need the most attention.

The solution takes into consideration customer feedback from voice of the customer research, various channels, brand strength, customer spend, customer sentiment, and net promoter score (NPS).

The result is an actionable customer feedback platform for product managers and decision-makers.

We help you create the vision, select and integrate the data and technology, design the UX/UI, and find the right technical partners and staff.  


  • Product 360 app to see insights across feedback channels
  • Unified data model across customer data sources
  • Knowledge architecture across systems and for future AI/ML 
  • Intuitive UX/UI for taking action on customer insights


  • Greater insight into CX and change across products and features
  • Customer sentiment on features with a drill-down across channels
  • Increased product team productivity through AI insights
  • Unified data mapped to features and brands


    • Product Manager
    • CX Strategists
    • Data Architects
    • Data Scientists
    • UX/UI Designers
    • Full-stack Devs
    • Custom Portal
    • Unified Search
    • Dashboards
    • Data Viz
    • Graph Database
    • Knowledge Panels
    • CX Analysis
    • Data Analysis
    • Feedback Analysis
    • Design Thinking
    • Data-driven Design
    • Domain-driven Design
    • Process Analysis
    • Change Management
    • User Testing
    • Features
    • Brands
    • NPS
    • CX Feedback
    • People
    • Subscriptions
    • Transactions


  • Education / alignment workshops
  • Current state assessment
  • CX use cases
  • Technology recommendations
  • Feature prioritization
  • Clickable prototype
  • User testing
  • New CX platform
  • Product roadmap
  • Actionable Recommendations

Product 360 gives organizations exactly the actionable insights they need without creating information overwhelm.

What's included in Predictive UX's Insight 360:

  • Alignment Workshops
  • Data and Content Audits
  • Technology Recommendations
  • Customer/Employee Research
  • Data to User Modeling
  • Design Thinking Workshops
  • Personas
  • Journey Maps
  • User Flows
  • High-fidelity Wireframes
  • Clickable Prototypes
  • Design Systems
  • Prioritization Workshops
  • Roadmap Creation
  • Governance Planning
  • Technology Leadership


Our team of experts works alongside you and your team to get to know your data and user needs. We leverage a combination of Design Thinking, User Experience and Data-driven Design strategies to educate your teams and learn from you. Our approach is simple and easy to follow without introducing a ton of new jargon, software, subscriptions or data points that don't have meaning and value for your company. The main outcome of this step is foundational knowledge across teams.
We analyze findings from Step 1 with your team to determine what's working and what doesn't work across data, business, IT, operations and user intentions. Together, we will uncover key themes, pain points, priorities and define what actions to take and what solutions to create to achieve the right outcomes aligned to business and user needs. This is a critical step in understanding where to focus data initiatives and feeds into a Data Strategy, Roadmap, Architecture or a Get Well Plan.
Experts in Content, Data, Product Management, Visualization, User Experience, UI Design and Engineering collaborate with your team to iteratively solution new experiences aligned to prioritized data objectives from Steps 1 and 2. The outcome results in user-approved, highly adoptable 360 experiences, technical designs and data strategies unique to your enterprise needs and data culture. Transformation activities include training, change management, governance and staffing plans.

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