Operational investigation for Dataverse

Investigate, understand, and explain Dataverse evidence before you change.

DV Quick Run helps Dataverse developers investigate, understand, and explain operational behaviour without leaving VS Code. Timeline Reconstruction stays central; Mini RCA (Experimental) now presents bounded, evidence-backed operational explanations in a cleaner investigation report.

Part of the DV ForgeLab ecosystem of focused Dataverse engineering tools.

Install from VS Code Marketplace See Cross Diff Explain Start free trial

InvestigationComparisonExplainTimelineExecutionEvidence-firstVS Code native

Cross Diff Explain

Product philosophy

DVQR observes operational drift. DVQR does not fix operational drift.

Audits can be noisy, telemetry can be fragmented, and operational drift rarely explains itself. DVQR keeps the investigation bounded, local-first, and evidence-backed: observe, inspect, explain query intent, explain comparison evidence, assess confidence, compare, reconstruct timelines, export reconstruction intent, and hand off without claiming remediation or root-cause authority.

14-day Pro trial

Pathfinder Founder

Try every Pro capability free for 14 days. Pathfinder Founder lets the first 200 customers lock in $19/month founder pricing while Pro Monthly and Pro Annual also include the same trial.

Start free trialFirst 200 founder spots

Free

Core operational understanding remains accessible: query, inspect, explain, traverse, profile, and investigate participation.

Pro

All online Pro plans include a 14-day free trial before billing begins.

Offline Pro

Signed local licensing for regulated, locked-down, and air-gapped environments.

Local-first

DVQR keeps investigation context close to the operator rather than forcing SaaS dashboards.

DV ForgeLab ecosystem

Focused tools. Clear boundaries. Shared operational context.

DV Quick Run is the flagship investigation workbench in the DV ForgeLab ecosystem of purpose-built Dataverse engineering utilities. v0.14.6 simplifies Mini RCA (Experimental) into a cleaner investigator-facing report while Query, Cross Diff, Timeline, and the v0.13.x reconstruction quartet continue through DVAF, DVIM, DVCE, and DVEVM handoffs.

Explore DV ForgeLab utilities Visit DV ForgeLab

DV Quick Run

Operational investigation, drift comparison, reports, and evidence continuity.

DV Bulk Upsert Runner

Bulk import and upsert Dataverse records using reusable data packages.

DV Choice Editor

Manage Dataverse global and local choices, including DVCE reconstruction handoffs from DVQR.

DV Environment Variable Manager

Review environment configuration values and import DVEVM reconstruction handoffs from DVQR.

DV Identity Manager

Preview and reconstruct supported identity participation from DVIM artifacts.

DV Attribute Factory

Preview-first metadata reconstruction for supported columns, choices, and lookup relationships.

Reconstruction handoff

DVQR exports reconstruction artifacts for attribute, identity, choice, and environment-variable drift.

Cross-Environment Diff and Timeline Reconstruction can export source-side reconstruction intent for DV Attribute Factory, DV Identity Manager, DV Choice Editor, and DV Environment Variable Manager, preserving investigation evidence while keeping preview/apply in the companion utility.

DVQR investigates

Export DVAF / DVIM / DVCE / DVEVM Artifact

Companion utility previews & reconstructs

Source-side onlyNo remediation claimPortable .dvaf.json / .dvim.json / .dvce.json / .dvevm.jsonDVAF / DVIM / DVCE / DVEVM own preview/apply

Sample reports

Mini RCA promotes Timeline evidence into operational explanation.

Timeline Reconstruction remains the source for first-observed drift windows. Mini RCA (Experimental) builds on Timeline Understanding to present a clearer summary, story, deterministic reasoning path, evidence, recommended next steps, and appendix-backed details.

Open Mini RCA sample View Timeline Reconstruction Compare Cross Diff report

Timeline + Mini RCA

Mini RCA (Experimental)

Turn Timeline Understanding into bounded operational explanation.

v0.14.6 simplifies Mini RCA into a cleaner investigator-facing report: Executive Summary, Investigation Story, Why DVQR Thinks This, Evidence, Recommended Next Steps, and a collapsible Appendix for Understanding Bundle details.

Start with a concise Executive Summary showing the leading explanation, evidence confidence, correlation confidence, supporting evidence count, strongest competing explanation, and first action.

Use Why DVQR Thinks This to show the deterministic reasoning path without exposing every internal object by default.

Keep Cross Diff, Timeline Reconstruction, and reconstruction artifact export behaviour unchanged while detailed Understanding Bundle contributors move into the appendix.

Mini RCA (Experimental)

Timeline Understanding

Add a briefing layer to Timeline Reconstruction without replacing the original reports.

v0.14.3 adds Timeline Understanding Reports as Markdown briefings generated from multi-snapshot Timeline Reconstruction evidence. The original Timeline Findings Summary and Timeline Handoff reports remain available; Understanding adds narrative synthesis, grouped operational highlights, trust posture, and adjacent-interval guidance.

Identify strongest activity intervals and review adjacent intervals for setup or follow-on evidence.

Group related timeline events into operational highlights before the detailed provider breakdown.

Save Markdown reports under the DVQR reports workspace for preview, handoff, and versioning.

Timeline Understanding

DV Quick Run Timeline Reconstruction screenshot

Cross Diff Explain

Understand cross-environment drift before reading every evidence row.

v0.14.2 turns Cross-Environment Diff comparison evidence into a briefing-first Explain surface: investigation summary, confidence basis, key operational changes, recommended investigation path, evidence coverage, technical breakdown, and appendix-ready raw comparison data.

Explain surfaces what changed, why it matters, how confident DVQR is, and where to investigate next.

Provider evidence, audit evidence, raw comparison data, and reconstruction review remain the technical source of truth.

Reports open from the Cross Diff Reports menu and save under the DVQR reports workspace for handoff.

Cross Diff Explain

Query Understanding Reports

Turn Dataverse queries into narrative understanding without losing technical truth.

Understanding Engine v2.2 now produces Query Understanding Reports from a canonical Understanding Document: an investigation narrative for humans, a technical-truth layer for exact query facts, and evidence-backed recommendations that stay advisory.

Investigation Narrative explains intent, maturity, strengths, smells, and next steps.

Technical Truth preserves the exact query target, clauses, traversal shape, returned fields, and constraints.

Investigation Scorecard, Personas, Positive Findings, and Investigation Smells make query quality easier to review.

Query Understanding Reports

Operational timeline reconstruction

Reconstruct when drift was first observed across same-environment snapshots.

Timeline Reconstruction turns Snapshot Library evidence into snapshot-bounded intervals, first-observed drift windows, timeline graphs, and DVQR-flavoured investigation reports.

Select 3+ compatible snapshots from the same entity and environment.

Sample reports answer when drift was first observed, not who caused it.

Built-in TIMELINE-MOCK snapshots let Free users preview the full timeline workflow.

Operational timeline reconstruction

Snapshot Library

Preserve evidence continuity for comparison and timeline investigations.

Snapshot Library now supports evidence selection for 2-snapshot comparison and 3+ snapshot timeline reconstruction, including TIMELINE-MOCK preview snapshots.

Timeline-ready groups make compatible snapshot history obvious.

Same-entity and same-environment validation protects timeline semantics.

Evidence workspaces remain local investigation artifacts, not deployment records.

Snapshot Library

Cross-environment diff

Compare operational drift without turning evidence into deployment authority.

Snapshot Library and Cross-Environment Diff surface runtime, workflow, solution, identity, profile, relationship, column, choice, entity-configuration, and environment-variable current-value drift as grouped, evidence-backed investigation context.

Top operational signals stay visible before lower-priority evidence.

Dense provider sections use grouped cards with rationale and representative evidence.

DVQR observes operational drift. DVQR does not fix operational drift.

Cross-environment diff

Guided traversal

Navigate Dataverse relationships without losing operational context.

DVQR turns dense relationship metadata into guided routes, confidence explanations, and explicit route choices inside the investigation flow.

Graph and route views stay grounded in Dataverse metadata.

Confidence explanations help users understand why a route is useful.

Traversal remains explicit, bounded, and inspectable.

Guided traversal

Operational profiles

Understand operational density before deciding where to investigate.

Operational Profiles expose DVQR Score, contributor evidence, operational context, and continuation actions without turning density into health, risk, or root cause.

DVQR Score explains operational density, not operational truth.

Evidence sections stay inspectable and progressively disclosed.

Contextual actions keep investigation continuity nearby.

Operational profiles

Access context

Investigate operational identity participation without pretending to simulate RBAC.

Access Context helps operators inspect users, teams, roles, application users, and business units as bounded participation evidence.

Direct and inherited participation are separated for clarity.

Searchable local evidence reduces investigation friction.

Wording stays calm: participation is not permission certainty.

Access context

Capability explorer

Discover Dataverse capabilities with preview-first execution semantics.

Capability Explorer surfaces Custom APIs, Actions, Functions, binding context, visibility, and execution support without becoming a generic REST console.

Metadata contract drives execution readiness and parameter understanding.

Execution remains preview-first, environment-bound, and explicit.

Restricted or unsupported capabilities degrade calmly.

Capability explorer

Who it is for

Built for Dataverse operators who need to understand what changed and why it matters operationally.

Power Platform consultants

Solution architects

Dataverse platform owners

Enterprise support teams

Inside VS Code

The Result Viewer becomes the operational workspace.

DVQR keeps query results, row context, operational actions, profile pivots, runtime signals, and exportable evidence close to the user’s investigation flow.

Metadata-awareRuntime evidenceOperational contextExportable snapshotsInvestigation continuityVS Code native

Result Viewer