DigiPae Payment and Product Analytics

Overview

As Founder & Full-Stack Developer at DigiPae (Ceivis LLC), designed product analytics and KPI reporting for payments and verified-identity workflows—covering Mixpanel funnel instrumentation, onboarding and KYC conversion tracking, multi-vendor data reconciliation, and executive-ready summaries—without publishing confidential production records here.

Business problem

Where do users and merchants encounter friction across signup, identity verification, bank linking, payment initiation, and successful completion—and which issues should be prioritized?

Analysis and approach

• Instrument Mixpanel analytics for payment funnels, onboarding drop-off, KYC conversion, and retention
• Design KPI dashboards for transaction volumes, error rates, and compliance metrics
• Reconcile Stripe, Socure, Plaid, and Firebase data into one validated reporting view
• Document data mappings and technical logic for cross-functional stakeholders

Skills: Funnel analysis · KPI development · Payment lifecycle analysis · Stakeholder communication

Evidence and visuals

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  Evidence placeholder — add a sanitized Mixpanel or KPI dashboard export.

Findings and outcome

• Onboarding, KYC conversion, payment completion, and retention need to be measured as a connected lifecycle.
• Vendor data must be sourced, normalized, and validated before executive KPI summaries are trustworthy.
• Error-rate and compliance metrics belong beside growth metrics so conversion is not optimized in isolation.

Outcome: A measurement framework for identifying friction across onboarding, verification, bank linking, and payment completion.

Recommendations

1. 1

   Keep a consistent event taxonomy across signup, verification, bank linking, and payment states.

2. 2

   Review top failure reasons weekly with product and operations owners.

3. 3

   Prioritize fixes by expected funnel recovery and operational risk, not volume alone.