Va
R&D value density analysis platformR&D efficiency and value management AI platform · V60
Connecting to the live product service
R&D efficiency and value management AI platform

Use quality, efficiency, demand matching and value contribution to see R&D output clearly

Transform code submissions, demand information and engineer work records into interpretable quality assessments, efficiency assessments, industry benchmark comparisons, individual work classifications, value contribution points and team dashboards to help managers conduct more prudent R&D value analysis.

  1. 01
    Prepare data for analysisUpload the code submission, demand goals and engineer list, and confirm the statistical window and benchmark caliber.
  2. 02
    Submit for reviewGenerate quality, efficiency, and baseline difference records for each code commit.
  3. 03
    Personal work classificationAggregate work type and contribution structure by engineer and generate reviewable notes.
  4. 04
    Value and needs mappingAssociate output products with needs and business goals, and calculate value contribution and demand matching cards.
  5. 05
    manual reviewManagers and relevant engineers approve or appeal high-risk individual scores, value scores, and dashboard conclusions.
  6. 06
    Export reportExport team value density reports and audit appendices.
Total team outputThere is currently no statistical output.Counts the number of successfully parsed submissions, associated requirements, and outputs in the current project; it does not include failed or unattributable records.
Quality and efficiency distributionNo results have yet been submitted for review.Summarizes the distribution, median, and unscorable proportion of quality_score and efficiency_score by commit_review_result.
Baseline Difference DescriptionNo available benchmark is configured and cannot be compared.Summarize the proportions above, close to, and below the benchmark in the records where benchmark_delta exists, and display the benchmark version.
Personal work type structureThere is no individual job classification yet.Aggregate the proportion of functional development, bug fixing, refactoring, testing, infrastructure, documentation and other categories by work_classification_profile.
Value Density TrendThere is no value contribution score yet.Summarizes the value contribution distribution within the statistics window by demand priority and value_score, and displays the uncertainty proportion.
Review and appeal statusThere is no review record yet.Statistics of the number of pending approval, passed, rejected, and needing revision in review_appeal_case.
BUSINESS INPUT

New project

Define the team, time window, baseline, requirements and submitted data sources for a R&D value analysis project.

Loading product-specific business fields.

Not saved
TRACEABLE OUTPUT

R&D Value Density Report

Results, sources, failures, approvals, and rollbacks are saved by project.

0 live runs
∅

No business results yet

The code submission data has not been uploaded and the submission review results cannot be generated.

PRIVACY

Data use boundary

Uploaded commit records, requirements documents, and engineer lists may contain source code snippets, internal requirements, employee identifiers, project codenames, and business goals. The system is only used for the research and development value analysis of this project; the author_id and output ID will be quoted as much as possible in the report, and personally identifiable information will be limited to the visibility of authorized members of the project. Current 10 role review supplements: Minimized templates and sensitive information pre-checking are provided before uploading. It is recommended to use pseudo-identifiers such as author_id, artifact_id, and requirement_id. ; It is prohibited to upload the full text of source code, keys, access tokens, private keys, salary, personnel discipline, health/family and other personal information that is not related to R&D value analysis. ;Definition RBAC: The visibility scope and operation permissions of project administrators, R&D leaders, engineers, and audit read-only users must be minimized by default. ; Exporting personal ratings requires additional authorization, and includes sensitivity marks, approval status, generation time, prohibited uses, and reminders for user management after export in the report. ; Deletion only prevents the site from displaying relevant files and records; rollback only affects the version status within the site and does not affect exported files or any external systems.

RETENTION

Data retention

Project files and build records are retained for 90 days by default; administrators can delete them earlier. After deletion, this site will no longer display relevant reports, scorecards and dashboard snapshots, but the exported local files must be managed by the user themselves.

SAFETY

Human responsibility and rollback

This product generates an auxiliary report for R&D work data analysis and management, which may affect personal evaluation and therefore cannot be used as the sole basis for performance, promotion, salary, layoff or disciplinary action. All personal ratings, value contribution points and demand matching conclusions must be used in conjunction with manual review, business context and party appeal materials.

Rollback only refers to undoing the report version, scorecard status, dashboard snapshot and workflow approval status in this site, and restoring to the last saved version; this product is not connected to external production systems, code warehouses, personnel systems or payroll systems, so it will not and cannot roll back any external system changes.