Product 360: AI Powered Decisions for SaaS Teams

Get a bespoke platform for your SaaS product team that reveals actionable insights from customer feedback, NPS and complaint frequency across features.

Solutions > Product 360

WHAT YOU GET

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 various channels, brand strength, customer spend, customer sentiment, and the customer's 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.  

DELIVERABLES

  • 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

VALUE TO YOUR BUSINESS

  • 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

OUR APPROACH

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

WHAT'S INCLUDED

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

COST

  • Starting at $48,000 for initial roadmap, planning and clickable prototype, up to ~$250,000. Prices vary depending on scope, staffing needs and complexity.

DURATION

  • Average duration is 6-months with continuous delivery milestones

OUR EXPERTS

Steve Stesney

 

Steve Stesney
Data Practice Lead

LinkedIn


Karen Passmore

 

 

Karen Passmore
CEO, 
UX/CX/Data Strategist

LinkedIn


Shawn Roberts, PhD

 

 

Shawn Roberts
PhD, Data Scientist

LinkedIn


Jen Segovia

 

 

Jen Segovia
UX Design Manager

LinkedIn

Insight 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

HOW IT WORKS

1
Knowledge
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.
2
Intelligence
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.
3
Transformation
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.

Ask Us About Our Recent Work

  • Collecting and Sharing Plastic Ocean Data
  • Establishing User Trust Across Multiple Data Sources

TAKE THE NEXT STEP

Connect with one of our experts:

Steve

Steve Stesney
Data Practice Lead

LinkedIn

KarenKaren Passmore
CEO, CX/UX Strategist

LinkedIn

Shawn-Roberts-1Shawn Roberts, PhD
Data Scientist

LinkedIn

Predictive UX specializes in humanizing data-driven design for startups and enterprise organizations. Talk to our Data Practice Lead to learn more.