Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Pagerduty Inc. is currently managing 7 pending office actions in the Computing & Software technology area. This level of activity reflects a robust effort to secure patent protection for the company's software innovations across multiple technical sub-fields.
The portfolio is highly distributed, involving a matching number of distinct examiners and 7 distinct art units. This correspondence between actions, examiners, and art units indicates that every single pending matter is being reviewed by a different specialist in a different section of the patent office, requiring a broad and adaptable management strategy.
WAESCO, JOSEPH M is the busiest examiner, currently responsible for 1 pending office action. Because the 7 pending office actions are spread so widely across many distinct examiners, the company must manage a diverse range of examiner perspectives and procedural styles to be successful in the Computing & Software sector. Practitioners should be prepared for a variety of technical interpretations across these 7 distinct art units.
Based on the USPTO statutory response window for each pending office action. 2 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 only | 1 (20%) |
| §101 + other | 2 (40%) |
| §103 only | 1 (20%) |
| Multi-statute (no §101) | 1 (20%) |
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 |
|---|---|---|---|
| KASSIM, HAFIZ A | 1 | 45.0% | +54.1% |
| HO, ANDY | 1 | 91.6% | +7.6% |
| PATEL, HIREN P | 1 | 78.8% | +35.6% |
| WERNER, MARSHALL L | 1 | 65.8% | +41.3% |
| RUHL, DENNIS WILLIAM | 1 | 26.1% | +23.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18475845 | Smart Incident Status Updates | RUHL, DENNIS WILLIAM | 15d |
| 18800634 | MODIFYING AN EVENT NOTIFICATION CONFIGURATION BASED ON INCIDENT RESOLUTION DATA | KASSIM, HAFIZ A | 42d |
| 18427956 | Cached Variables For Event Management | PATEL, HIREN P | — |
| 18479862 | Incident Occurrence Prediction Using Classifiers | WERNER, MARSHALL L | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18475845 | Smart Incident Status Updates | RUHL, DENNIS WILLIAM | 15d |
| 18800634 | MODIFYING AN EVENT NOTIFICATION CONFIGURATION BASED ON INCIDENT RESOLUTION DATA | KASSIM, HAFIZ A | 42d |
| 18427956 | Cached Variables For Event Management | PATEL, HIREN P | — |
| 18479862 | Incident Occurrence Prediction Using Classifiers | WERNER, MARSHALL L | — |
| Art Unit | Apps |
|---|---|
| 3623 | 1 |
| 2194 | 1 |
| 2196 | 1 |
| 2125 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18800634 | MODIFYING AN EVENT NOTIFICATION CONFIGURATION BASED ON INCIDENT RESOLUTION DATA | KASSIM, HAFIZ A | 3623 | §101 | Final Rejection | 42d | Pending | Aug 12, 2024 |
| 18798975 | Auto Pause Incident Notification | HO, ANDY | 2194 | §103 | Non-Final OA | — | Pending | Aug 09, 2024 |
| 18427956 | Cached Variables For Event Management | PATEL, HIREN P | 2196 | §103§112 | Non-Final OA | — | Pending | Jan 31, 2024 |
| 18479862 | Incident Occurrence Prediction Using Classifiers | WERNER, MARSHALL L | 2125 | §101§102§103 | Non-Final OA | — | Pending | Oct 03, 2023 |
| 18475845 | Smart Incident Status Updates | RUHL, DENNIS WILLIAM | 3626 | §101§102§103 | Final Rejection | 15d | Pending | Sep 27, 2023 |
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Start Free TrialPagerduty Inc. has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.
Hafiz A Kassim has the most, with 1 of Pagerduty Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
