Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Zendesk Inc. manages 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These 3 actions are overseen by 3 distinct examiners, resulting in a unique examiner for every pending matter. The portfolio is situated within 2 distinct art units, which indicates a degree of technical focus in the e-commerce and mechanical sectors. This structure suggests that the company's current filings are being evaluated by a diverse set of personnel across a limited number of art units.
The busiest examiner for Zendesk Inc. is COLUCCI, MICHAEL C, who is responsible for 1 busiest examiner pending action. Because the busiest examiner handles only 1 of the 3 pending office actions, the prosecution workload is fully distributed. Practitioners should be prepared to navigate the specific requirements of 2 distinct art units while communicating with 3 different examiners. The data shows a small but administratively spread portfolio. The presence of 3 distinct examiners for the pending office actions ensures that no single individual at the patent office has a dominant influence over the company's current docket.
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 (67%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| COLUCCI, MICHAEL C | 1 | 75.8% | +15.3% |
| MANEJWALA, ISMAIL A | 1 | 49.1% | +50.6% |
| MAC, GARY | 1 | 40.9% | +38.3% |
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 |
|---|---|---|---|
| 19175731 | SYSTEMS AND METHODS TO GENERATE SUGGESTED RESPONSES TO CUSTOMER INQUIRIES FOR CUSTOMER RELATIONSHIP MANAGEMENT | MANEJWALA, ISMAIL A | — |
| 17742307 | PREDICTING A SET OF FITTED KNOWLEDGE ELEMENTS | MAC, GARY | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19175527 | ENTITY DETECTION AND EXTRACTION | COLUCCI, MICHAEL C | — |
| 19175731 | SYSTEMS AND METHODS TO GENERATE SUGGESTED RESPONSES TO CUSTOMER INQUIRIES FOR CUSTOMER RELATIONSHIP MANAGEMENT | MANEJWALA, ISMAIL A | — |
| 17742307 | PREDICTING A SET OF FITTED KNOWLEDGE ELEMENTS | MAC, GARY | — |
| Art Unit | Apps |
|---|---|
| 3628 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19175527 | ENTITY DETECTION AND EXTRACTION | COLUCCI, MICHAEL C | — | §103 | Non-Final OA | — | Pending | Apr 10, 2025 |
| 19175731 | SYSTEMS AND METHODS TO GENERATE SUGGESTED RESPONSES TO CUSTOMER INQUIRIES FOR CUSTOMER RELATIONSHIP MANAGEMENT | MANEJWALA, ISMAIL A | 3628 | §101§102§103 | Non-Final OA | — | Pending | Apr 10, 2025 |
| 17742307 | PREDICTING A SET OF FITTED KNOWLEDGE ELEMENTS | MAC, GARY | 2127 | §101§103§112 | Non-Final OA | — | Pending | May 11, 2022 |
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