Waypoint™ Reporting, Analytics and API Specification

1. Purpose

Reporting is a first-class Waypoint™ product capability.

Waypoint™ must provide a complete view of project delivery that cannot be derived reliably from Jira alone because significant lifecycle state exists in Design, worker orchestration, execution, governance, evidence, and Delivery.

The reporting architecture should support:

1. native Waypoint™ dashboards;
2. a dedicated first-party Reporting Module;
3. authorized external reporting and analytics clients;
4. operational APIs used by automation or portfolio tooling.

2. Reporting principles

R1 — Waypoint™ domain first

Reports use canonical Waypoint™ concepts, not Jira schema as the semantic model.

R2 — Full lifecycle

Reporting spans Design → Plan → Execute → Deliver.

R3 — Current and historical

Users need both current state and trends/history.

R4 — Explainable metrics

Metrics should have documented definitions and drill-through to underlying entities/evidence.

R5 — API parity

Important reporting data shown in the first-party UI should be accessible through governed APIs where security permits.

R6 — Near-real-time operational visibility

Execution/decision dashboards should update quickly enough to manage active autonomous work.

R7 — Preserve actuals

Estimate, schedule, allocation, and cost actuals should be retained for future planning intelligence.

3. Reporting audiences

• project owner;
• technical/domain lead;
• project/development manager;
• executive/portfolio owner;
• worker/agent operator;
• administrator;
• auditor/reviewer;
• external BI/reporting client.

Views should be role-appropriate.

4. Project dashboard

A project dashboard should answer:

• What stage is the project in?
• Is it on track?
• What is waiting on me?
• What is active?
• What is blocked?
• What changed?
• What is the forecast?
• What is ready to deliver?
• What risks/exceptions exist?

Core widgets may include:

• lifecycle/gate status;
• phase/release progress;
• sprint progress;
• stream progress;
• work completion;
• estimate vs actual;
• active workers;
• blocked/stalled work;
• quality;
• delivery readiness;
• decisions waiting;
• recent events.

5. Portfolio reporting

Portfolio views may include:

• project status by lifecycle stage;
• health;
• schedule/forecast;
• budget/cost;
• risk;
• delivery dates;
• pending approvals;
• worker/capacity demand;
• project throughput.

6. Design reporting

Metrics/views:

• design readiness;
• requirement counts/status;
• requirement coverage;
• open questions;
• unresolved decisions;
• risks/assumptions;
• artifact status;
• design-gate history;
• time in Design.

7. Planning reporting

Metrics/views:

• hierarchy counts;
• estimated effort;
• critical path;
• dependencies;
• plan coverage;
• phase/release forecast;
• sprint/timebox load;
• stream load;
• capability demand;
• human vs autonomous work;
• plan changes;
• plan-gate history.

8. Execution reporting

Metrics/views:

• executable queue;
• active assignments;
• active workers;
• stream status;
• throughput;
• cycle time;
• lead time;
• estimate vs actual;
• failure/retry;
• blocked/stalled work;
• validation results;
• discovered defects;
• rework;
• worker utilization;
• concurrency;
• execution cost.

9. Worker and capability reporting

Views:

• worker inventory;
• availability;
• health;
• capacity;
• utilization;
• capability coverage;
• capability shortages;
• queue demand by capability;
• success/failure;
• actual duration;
• quality/rework;
• cost.

The product should avoid inappropriate people-ranking behavior. Human metrics should be governed and purpose-limited.

10. Delivery reporting

Views:

• delivery readiness;
• releases;
• deployments/delivery runs;
• target status;
• success/failure;
• rollback;
• deployment frequency;
• lead time to delivery;
• acceptance;
• artifact lineage;
• unresolved delivery exceptions.

11. Governance reporting

Views:

• pending gates;
• approval turnaround;
• exceptions;
• policy denials;
• high-risk actions;
• stop/pause events;
• permission changes;
• evidence completeness;
• audit history;
• budget thresholds.

12. Estimate and forecast reporting

Waypoint™ should preserve:

• original estimate;
• current estimate;
• actual effort;
• actual elapsed duration;
• forecast completion;
• confidence;
• estimate history.

Reporting should support:

• variance by project;
• work type;
• capability;
• worker type;
• stream;
• release.

This historical dataset may later support estimate calibration and planning intelligence.

13. Metric definitions

Metrics must have canonical definitions.

Examples:

Work completion % should specify whether it is based on count, estimate weight, or another basis.

Cycle time should define start/end states.

Blocked time should be accumulated from explicit blocked intervals.

Utilization should distinguish reserved, actively executing, waiting, and unavailable time.

Metric definitions should be versioned if semantics change.

14. Reporting data architecture

Recommended pattern:

Canonical Transactions + Domain Events
                 |
                 v
         Reporting Projections
                 |
        +--------+--------+
        |                 |
        v                 v
 Reporting API       Native UI
        |
        v
 External BI / Reporting Module

Reporting projections may be relational views, materialized tables, analytical storage, or another suitable implementation.

The design should optimize for correctness first and scale based on measured demand.

15. Reporting API domains

Suggested logical endpoint families:

/reports/projects
/reports/portfolio
/reports/design
/reports/planning
/reports/execution
/reports/workers
/reports/capabilities
/reports/delivery
/reports/governance
/reports/cost
/reports/audit

Exact REST/GraphQL style is an implementation decision.

16. Query capabilities

Where applicable:

• project/portfolio filters;
• lifecycle stage;
• date/time range;
• release/phase;
• sprint/timebox;
• stream;
• worker type;
• capability;
• work type/status;
• delivery target;
• gate/status;
• pagination;
• sorting;
• aggregation/granularity.

17. Drill-through

Summary metrics should return or expose identifiers allowing drill-through to:

• projects;
• requirements;
• work items;
• runs;
• workers;
• gates;
• delivery units;
• evidence.

The API should not return only disconnected aggregate numbers.

18. Historical snapshots and trends

Some reporting requires point-in-time history.

Waypoint™ should preserve or derive:

• lifecycle transitions;
• plan versions;
• estimate changes;
• work-state intervals;
• assignment intervals;
• blocked intervals;
• gate intervals;
• delivery history.

This supports trend reporting without attempting to reconstruct history from current Jira state.

19. Events and freshness

Operational reporting should be updated from domain events or durable change processing.

Freshness classes may include:

• operational: seconds/minutes;
• management: minutes;
• analytical/history: scheduled or near-real-time.

The UI should disclose materially stale data.

20. API authorization

Reporting access should respect:

• organization;
• portfolio;
• project;
• role;
• data classification;
• audit sensitivity;
• human-worker privacy.

External clients should use scoped credentials.

21. Export and integration

Reporting should support practical export/integration such as:

• JSON API;
• CSV export where appropriate;
• webhooks/events for material changes;
• future BI connectors.

Large analytical extraction should not degrade operational APIs.

22. Audit reporting

Audit reporting should support filtering by:

• actor;
• worker;
• project;
• event;
• action;
• external provider;
• time;
• correlation ID;
• outcome.

Audit data should be append-oriented and access-controlled.

23. Evidence reporting

Users should be able to answer:

Why does Waypoint™ believe this work or delivery is complete?

Reporting should link completion status to the relevant evidence.

24. Reporting module boundary

A dedicated Waypoint™ Reporting Module may provide:

• dashboards;
• charts;
• portfolio views;
• ad hoc filtering;
• saved views;
• exports.

It should consume stable reporting APIs/projections and should not become the owner of canonical transactional state.

This allows reporting to evolve independently from lifecycle engines.

25. Initial reporting scope

The first useful reporting release should include:

1. project lifecycle dashboard;
2. phase/release/epic/work progress;
3. sprint and stream status;
4. estimates versus actuals;
5. active workers/assignments;
6. blockers/failures;
7. pending gates/decisions;
8. validation/quality;
9. delivery readiness/status;
10. basic capacity/utilization;
11. audit timeline;
12. governed reporting API.

Portfolio analytics and advanced historical forecasting may expand iteratively.