Tech Center 2100 • Art Units: 2121 2192
This examiner grants 100% of resolved cases
Joshua Van Tran is an examiner in Art Unit 2121 within Tech Center 2100, with a record of 2 resolved cases. The allowance rate is 100.0 percent, indicating that all applications resolved so far have been granted. The median days to allowance is 834 days, suggesting a relatively efficient prosecution cycle. This 834-day median is a baseline for planning and budgeting during the examination process in Art Unit 2121.
The interview lift of 0.0 percent indicates that interviews have not yet provided a measurable advantage, likely because the base allowance rate is already at its maximum. For the 2 resolved cases, the 0.0 percent lift shows that the examiner standard review process has been sufficient for success. Practitioners in Tech Center 2100 should still consider interviews if needed, but the current data suggests they are not a primary driver of success. The 834-day timeline remains a factor.
Overall, the 100.0 percent allowance rate and 834-day median to allowance make this examiner a favorable one for applicants. The 2 resolved cases provide a positive statistical foundation for these metrics. By understanding the 0.0 percent interview lift, practitioners can refine their approach in Art Unit 2121 to ensure an efficient path through Tech Center 2100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18914743 | System and Method for Predicting Dependency Patterns and Behaviors of Software Applications to Optimize Code Remediation | Non-Final OA | Bank of America Corporation |
| 18818716 | HYPERAUTOMATION TESTING SYSTEMS AND METHODS USING A DETERMINISTIC PROCESS | Non-Final OA | AT&T Intellectual Property I, L.P. |
| 18780211 | DYNAMIC QUALITY BENCHMARK ASSESSMENT FOR AUTOMATED TESTING OF LLM-BASED CHATBOTS | Non-Final OA | Dell Products L.P. |
| 18421657 | SYSTEM OF DOMESTIC APPLIANCES AND METHODS FOR ALERTING UPDATES FOR ONE OR MORE NETWORK CONNECTED APPLIANCES | Non-Final OA | Haier US Appliance Solutions, Inc. |
| 18423877 | GAME TESTING TECHNIQUES USING MACHINE LEARNING | Non-Final OA | Electronic Arts Inc. |
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