Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Bongo Learn Inc. has 2 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are assigned to 2 distinct examiners and 2 distinct art units. SCHMIEDER, NICOLE A K is the busiest examiner with 1 pending office action. This distribution means that each of the company's pending matters is being reviewed by a different examiner in a different specialized division.
Even with only 2 pending office actions, the applicant must adapt to two distinct examination environments. Practitioners should note that SCHMIEDER, NICOLE A K is 1 of the examiners currently handling the company's work. The involvement of 2 distinct art units suggests the transportation and e-commerce technology spans multiple technical categories. This ratio of actions to examiners and art units requires a customized strategy for each application. Managing these distinct examiners simultaneously ensures that the company's patent outcomes are determined by multiple perspectives within the patent office. This structure requires a flexible prosecution strategy to address the unique requirements of each division.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 2 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| SCHMIEDER, NICOLE A K | 1 | 68.2% | +34.0% |
| PADUA, NICO LAUREN | 1 | 17.4% | +38.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18092552 | Reduced Bias Submission Review System | PADUA, NICO LAUREN | 15d overdue |
| 18903103 | Smart Skill Competency Evaluation System | SCHMIEDER, NICOLE A K | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18092552 | Reduced Bias Submission Review System | PADUA, NICO LAUREN | 15d overdue |
| 18903103 | Smart Skill Competency Evaluation System | SCHMIEDER, NICOLE A K | — |
| Art Unit | Apps |
|---|---|
| 4100 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18903103 | Smart Skill Competency Evaluation System | SCHMIEDER, NICOLE A K | 4100 | §101§103§112 | Non-Final OA | — | Pending | Oct 01, 2024 |
| 18092552 | Reduced Bias Submission Review System | PADUA, NICO LAUREN | 3626 | §101§102 | Final Rejection | 15d overdue | Pending | Jan 03, 2023 |
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