The Insight Console

Enhancing Payer Insights by

50%* Faster Insights and Discrepancy Rate < 5%

// 01. Introduction

Internal Signals Identifies a Potential Problem

Internal Signals Identifies a Potential Problem

My organization providers a data bridge between Payers (insurance companies) and Providers (doctors). The process is triggered by a member (patient enrolled in a plan with the payer) appointment:

  1. The Trigger: Service tracks an upcoming appointment and requests payers to share the "Gap" request (potential / reccurence / diagnosed medical conditions)

  2. The Handoff: The service validates patient and payer plans and pushes it into the Providers electronic record system (EHR) from them to review as part of their workflow

  3. The Return: If the Doctor is aligned with the request they address the gap data and this is sent back to the Payer.

view organization service structure

// Problem hypothesis

The problem origin lay in the uncertainty of the "Trigger". While Payers sent the data, they don't have any visibility into the EHR or exam room. The could not confirm if the doctor actually viewed the alert or ignored it. When no data returned, they could not distinguish between a system failure and a doctor's inaction.

Need for validation: Payer teams began demanding proof that their requests were actually reaching the doctors. With no customer-facing interface available, our Customer Success team was forced to email static screenshots of our internal tracking as "proof". This manual workaround quickly spiraled into a support bottleneck, preventing the team from scaling.

Static screenshots of API and provider response leads to Data Discrepancies

THE BLACK BOX

Serivce identifies a patient but payer can not confirm if provider actually viewed and responded to the gap in EMR.

// 03. Design strategy

Structuring Discovery Before Design

RESEARCH OUTLINE

Defined the core discovery objectives and categorize what we needed to learn, which guided the conversation script:

  • Gap Data Importance

  • Stakeholders and Intent

  • Current state and pain points.

TEAM ALIGNMENT

Orchestrated cross-functional alignment across Research, Engineering, Legal, Product and Relationship teams. Scheduled bi-weekly stand-ups to address early architectural blockers and complex privacy constraints.

GOVERNANCE COMPLIANCE

Partnered with Legal and Compliance to resolve tension between Payer Transparency and Provider Privacy. We defined the exact threshold of "De-identified" vs "Actionable" data to ensure HIPAA compliance

DESIGN PLAN ROADMAP

RISKS and DEPENDENCY

// 04. Research synthesis

// Persona

Program Director

"I have to show value to leadership. I need better visibility into appointments and provider response."

CORE RESPONSIBILITIES

Risk adjustment flow

Vendor Management

Financial Performance

CRITICAL PAIN POINTS

Internal teams spend time for any actionable insights

Growth depends on invisible engagement

High level metrics makes it hard to justify investment

// Market reality

High Admin Waste: Data is Stale Instantly

METHOD: MANUAL ROSTERS

Spreadsheets shared via secure email or printed sheets. Prone to human error and version-control hell.

Tool Fatigue: Leading to Low Compliance

METHOD: ISOLATED PORTALS

Proprietary web tools that require providers to "Double Document" outside their EMR.

// Tool need validation

Enterprise and mid-size payers either already have a custom dashbaord built and emerging and small-size payers use traditional methods to track data.

Sample screenshot of payer-side built analytics tool.

THE VERDICT:
Large payers will use the organization insight console as a Gut Check validating their internal metics against out source-of-truth

Sample screenshot of excel tracking

THE VERDICT:
Emerging and small payers will use the organization insight console as their primary engine

// Verdict

Payers don't lack data; they lack objective proof of gaps surfaced to provider and action taken as required by HEDIS Compliance and Star Ratings.

With final team alignments the three pillars were defined:

Visibility Vs. Efficacy

The risk that transparency might reveal service gaps rather than strengths. I advocated for data ownership as a driver for service iteration.

Provider Alert Fatigue

Payers and Product team noted concerns that overloading requests via digital outreach could lead to provider burnout and partnership friction.

The Final Guardrail

System governance of performance metrics with restrictions for payers from viewing direct contact details will ensure relationship while delivering insights.

REDEFINED PROBLEM STATEMENT

Payers don't lack data; they lack objective proof of gaps surfaced to provider and action taken as required by HEDIS Compliance and Star Ratings

VALUE STATEMENT

Provisioning a self-service analytics engine to transform complex integration data into immediate gap visibility. By automating accurate HEDIS/Star Rating reporting, we secure payer funding, ensure regulatory compliance, and unlock the identification of risk-adjustable conditions with minimal effort.

TARGET SUCCESS CRITERIA

> 70%

Analytics Adoption Rate

ACROSS ALL PAYER SEGMENTS WITHIN 6 MONTHS

Avg. 5 hrs/wk

Analyst Efficiency

REDUCTION IN MANUAL RECONCILIATION PER USER

< 5%

Data Discrepancy

TARGET REDUCTION FROM THE 20% LEGACY BASELINE

// 05. Defining the North Star

From a simple ask to a deeper challange

// The fragment experience

While conducting primary research, my parallel work on other payer products revealed a deeply fragmented experience. Critical analysis was siloed in a platform, documentation was buried in SharePoint, and change requests were processed through Payer Salesforce Channel where flows lacked status transparency.

// 05. Design

// Defining the JTBD

// Ideation

// AI Prototype

I designed a rapid prototype for quick resonance test with payers to ensure alignment and quick iterations. Leveraged ChatGPT to iterate the prompt that I fed to lovable.dev to define prototype.

// 06. Conclusion

A scalable foundation delivered

Prior to resonance testing, I successfully secured a Strategic Green-Light for development. My exit was preceded by a comprehensive handoff designed to ensure the vision's integrity throughout the 2025 production cycle.

Full Technical Specs

Documented all interaction models and components used for the engineering team for their sprint planning.

Stakeholder Alignment

Delivered a detailed resonance guide summarizing executive feedback for incoming design lead.

Ecosystem Roadmap

Defined platform's long-term roadmap influencing cross-vertical Product Owners to begin architecting for their stakeholders

Let's build high-trust ecosystems

©️Copyright 2026. Hariharan R

Let's build high-trust ecosystems

©️Copyright 2026. Hariharan R

Let's build high-trust ecosystems

©️Copyright 2026. Hariharan R

Let's build high-trust ecosystems

©️Copyright 2026. Hariharan R