PRD Template: Jira + Confluence for Fintech
Fintech PRDs written in Confluence and tracked in Jira must address regulatory constraints that generic templates ignore entirely. PCI-DSS compliance gates, KYC verification flows, money transmitter licensing, and SOX audit trails all shape what you can build and how you ship it.
This template integrates Jira epic linking with Confluence compliance documentation so your spec is both engineering-ready and audit-ready from day one.
Template sections
6 sections covering the complete prd workflow.
Regulatory Context and Compliance Scope
Document which regulations apply to this feature: PCI-DSS (if touching card data), SOX (if affecting financial reporting), KYC/AML (if onboarding users who transact), and state-specific money transmitter requirements. Each regulation imposes specific technical constraints that must appear in your requirements. For example, PCI-DSS Requirement 3.4 mandates that stored cardholder data is rendered unreadable, which directly affects your data model and storage decisions.
Feature: Add ACH direct debit for subscription payments. Regulatory scope: PCI-DSS Level 1 (processing >6M transactions/year), SOX Section 404 (internal controls over financial reporting), NACHA rules for ACH origination. Compliance review added 3 weeks to timeline but prevented a $250K fine risk identified during pre-launch audit.
Tips
- Create a Confluence page template with a mandatory Regulatory Scope section at the top
- Link each compliance requirement to the specific regulation clause (e.g., PCI-DSS 3.4.1)
- Use Jira labels like compliance-required and security-review to flag regulated stories
- Set up a Jira automation rule that blocks transition to Done without compliance approval
Problem Statement with Financial Impact
Describe the user problem in financial terms that resonate with both product and compliance stakeholders. Quantify the business impact in revenue, transaction volume, or regulatory risk. Fintech PRDs must connect user problems to financial metrics because every feature decision has revenue and risk implications. Include the cost of inaction: regulatory fines, lost transaction volume, or competitive disadvantage.
Current ACH processing takes 3-5 business days for settlement, causing 23% of enterprise customers to request wire transfers at $25/each. Moving to same-day ACH would eliminate $180K/year in wire fees and reduce settlement-related support tickets from 340/month to under 50/month.
Tips
- Include both revenue upside and regulatory downside in every problem statement
- Reference specific transaction volumes and dollar amounts from your payment dashboard
- Map the problem to a specific customer segment with quantified LTV impact
- Add a Risk of Inaction section that estimates compliance exposure
KYC and User Verification Requirements
Document the identity verification flow required for this feature. Specify which KYC tier applies (simplified due diligence, standard, enhanced), what documents are required, and how verification status gates feature access. Link to your KYC provider integration in Jira. Include fallback flows for when verification fails or is pending, as these edge cases account for 15-20% of user sessions in most fintech products.
Feature requires Enhanced Due Diligence (EDD) for transactions over $10,000. Users must provide government-issued photo ID (passport or driver's license) plus proof of address dated within 90 days. Verification via Jumio takes 2-4 hours average; during this window, users see a pending state with estimated completion time. Fallback: manual review queue staffed during business hours with 24-hour SLA.
Tips
- Create separate Jira stories for each KYC tier with distinct acceptance criteria
- Document the verification provider API integration as a technical dependency in Jira
- Include re-verification triggers (address change, transaction threshold increase)
- Map the verification UX for each failure mode: expired document, blurry photo, name mismatch
Transaction Flow and Error Handling
Map the complete transaction lifecycle: initiation, authorization, processing, settlement, and reconciliation. For each stage, document the happy path, error states, retry logic, and reversal procedures. Use a Confluence status macro to track which flows have been reviewed by engineering and compliance. Fintech transaction flows are uniquely complex because money movement errors cannot be silently dropped or retried without user consent.
ACH debit flow: User initiates (T+0) -> Pre-authorization check against balance and daily limits -> NACHA file generated in evening batch -> Sent to ODFI (T+1 morning) -> RDFI processes (T+1 afternoon) -> Settlement confirmation (T+2). Error states: NSF return (R01) triggers user notification + retry in 3 business days; unauthorized return (R10) triggers account freeze + compliance review.
Tips
- Use Confluence diagrams to visualize the transaction state machine with all error branches
- Create a Jira epic specifically for error handling with one story per error code
- Include idempotency requirements for every transaction endpoint
- Document the reconciliation process that runs daily to catch discrepancies
Audit Trail and Logging Requirements
Specify what must be logged for compliance: every state change in a transaction, every access to sensitive data, every administrative action, and every failed authentication attempt. Define retention periods based on regulatory requirements (PCI-DSS requires 1 year readily available, SOX requires 7 years). Structure your Jira stories to include audit logging as acceptance criteria on every ticket that touches financial data.
Logging requirements: All transaction state changes logged with timestamp, user ID, IP address, and previous/current values. PII access logged with accessor identity and business justification. Logs stored in append-only audit table with 7-year retention. Monthly audit log review generates a Confluence report linked to the compliance epic.
Tips
- Add "Audit log entry created" as an acceptance criterion on every Jira story touching financial data
- Use structured logging with consistent field names across all services
- Set up Jira dashboards that track audit-related story completion by sprint
- Create a Confluence template for the monthly audit log review report
Success Metrics with Regulatory KPIs
Define success metrics that span both product performance and regulatory compliance. Product metrics include transaction volume, conversion rate, and processing time. Regulatory metrics include compliance review pass rate, audit finding count, and time-to-remediation. Use a Confluence table that maps each metric to its data source and review cadence. Fintech teams that track only product metrics eventually get surprised by compliance failures.
Product: Same-day ACH adoption reaches 60% of eligible transactions within 90 days, reducing average settlement time from 3.2 days to 0.8 days. Regulatory: Zero critical audit findings in Q1 review, compliance review turnaround under 48 hours for 95% of stories, and all PCI-DSS controls validated in annual assessment.
Tips
- Create a Jira dashboard with both product and compliance metric widgets
- Set up automated alerts when regulatory KPIs breach thresholds
- Include compliance metrics in sprint review presentations
- Track the ratio of compliance-related stories to feature stories per sprint
Copy-paste template
# [Feature] PRD — Fintech (Jira + Confluence) ## Regulatory Scope | Regulation | Applies | Specific Clauses | |---|---|---| | PCI-DSS | [Yes/No] | [Clauses] | | SOX | [Yes/No] | [Sections] | | KYC/AML | [Yes/No] | [Requirements] | ## Problem Statement [Problem with financial impact quantification] ## KYC Requirements | Tier | Trigger | Documents Required | Provider | |---|---|---|---| | [Tier] | [Condition] | [Docs] | [Provider] | ## Transaction Flow [State machine diagram] ## Audit Requirements | Event | Fields Logged | Retention | |---|---|---| | [Event] | [Fields] | [Period] | ## Success Metrics | Metric | Baseline | Target | Type | |---|---|---|---| | [Metric] | [Value] | [Value] | Product/Regulatory |
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