Technology areas: Networking & Security • Communications
12 pending office actions • 1 client • 12 examiners • 11 art units • 0 of 12 (0%) have an AI response strategy ready • 18 patents granted in the last 365 days
MBHB - Roku focuses on Networking & Security and has 240 career applications. Its profile lists 12 pending office actions and a 91.43% resolved allowance rate, showing allowance as the outcome for most resolved applications.
The average of 3.25 office actions per allowance indicates that successful resolution commonly involved multiple examination actions. The current docket and historical figures together provide context for workload review, outcome assessment, and planning for prosecution responses.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 | 1 (8%) |
| §103 only | 4 (33%) |
| §102 only | 1 (8%) |
| Double-patenting only | 3 (25%) |
| Multi-statute (no §101) | 3 (25%) |
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 |
|---|---|---|---|
| KANG, TIMOTHY J | 1 | 45.5% | +27.0% |
| BLACK-CHILDRESS, RAJSHEED O | 1 | 62.8% | +24.3% |
| FLYNN, RANDY A | 1 | 65.3% | +16.8% |
| SHELEHEDA, JAMES R | 1 | 67.6% | +20.6% |
| PARK, SUNGHYOUN | 1 | 75.4% | +9.3% |
| BHATNAGAR, ANAND P | 1 | 91.6% | +2.1% |
| BARKER, TODD L | 1 | 75.5% | +23.4% |
| XIA, XUYANG | 1 | 72.7% | +52.4% |
| CHOU, ALAN S | 1 | 75.5% | +14.1% |
| ANYA, CHARLES E | 1 | 81.7% | +32.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18496459 | Local Area Network System with Machine Learning-Based Task Offload Feature | ANYA, CHARLES E | 5d |
| 18976916 | Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object | BHATNAGAR, ANAND P | — |
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 |
|---|---|---|---|
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | BLACK-CHILDRESS, RAJSHEED O | — |
| 19229206 | Product Metrics Monitoring and Anomaly Detection Using Machine Learning Models | FLYNN, RANDY A | — |
| 18667823 | Computing System with Functionality Related to a Machine-Learning Model Store | XIA, XUYANG | — |
| 18340808 | Content System with Speech-Related Audio Content Replacement Feature | CHUNG, DANIEL WONSUK | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18529753 | Media System with Selective Message Output Feature | CHOU, ALAN S | 30d overdue |
| 18496459 | Local Area Network System with Machine Learning-Based Task Offload Feature | ANYA, CHARLES E | 5d |
| 19311975 | Coordinated Processing of Ordering Based on Media Content Presentation | KANG, TIMOTHY J | — |
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | BLACK-CHILDRESS, RAJSHEED O | — |
| 19229206 | Product Metrics Monitoring and Anomaly Detection Using Machine Learning Models | FLYNN, RANDY A | — |
| 19227699 | Dynamic Control of Media-Content Presentation Based on User Presence and/or User Profile | SHELEHEDA, JAMES R | — |
| 18972478 | Dynamic Provisioning of IoT Devices From an Online Application Marketplace | BARKER, TODD L | — |
| 18667823 | Computing System with Functionality Related to a Machine-Learning Model Store | XIA, XUYANG | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ROKU, INC. | 12 |
| Art Unit | Apps |
|---|---|
| 2424 | 2 |
| 3689 | 1 |
| 2685 | 1 |
| 2484 | 1 |
| 2668 | 1 |
| 2449 | 1 |
| 2143 | 1 |
| 2451 | 1 |
| 2194 | 1 |
| 2659 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19311975 | Coordinated Processing of Ordering Based on Media Content Presentation | Roku, Inc. | KANG, TIMOTHY J | 3689 | DP | Non-Final OA | — | Pending | Aug 27, 2025 |
| 19276957 | Dynamic Collection and Reporting of Customer Premises Context Information in Response to Predicted Emergency Event | Roku, Inc. | BLACK-CHILDRESS, RAJSHEED O | 2685 | §102§103§112Other | Non-Final OA | — | Pending | Jul 22, 2025 |
| 19229206 | Product Metrics Monitoring and Anomaly Detection Using Machine Learning Models | Roku, Inc. | FLYNN, RANDY A | 2424 | §101§103Other | Final Rejection | — | Pending | Jun 05, 2025 |
| 19227699 | Dynamic Control of Media-Content Presentation Based on User Presence and/or User Profile | Roku, Inc. | SHELEHEDA, JAMES R | 2424 | DP | Non-Final OA | — | Pending | Jun 04, 2025 |
| 19184738 | Content System with User-Input Based Video Content Generation Feature | Roku, Inc. | PARK, SUNGHYOUN | 2484 | §103 | Final Rejection | — | Pending | Apr 21, 2025 |
| 18976916 | Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object | Roku, Inc. | BHATNAGAR, ANAND P | 2668 | DP | Non-Final OA | — | Pending | Dec 11, 2024 |
| 18972478 | Dynamic Provisioning of IoT Devices From an Online Application Marketplace | Roku, Inc. | BARKER, TODD L | 2449 | §103 | Final Rejection | — | Pending | Dec 06, 2024 |
| 18667823 | Computing System with Functionality Related to a Machine-Learning Model Store | Roku, Inc. | XIA, XUYANG | 2143 | §102§103 | Non-Final OA | — | Pending | May 17, 2024 |
| 18529753 | Media System with Selective Message Output Feature | Roku, Inc. | CHOU, ALAN S | 2451 | §102 | Final Rejection | 30d overdue | Pending | Dec 05, 2023 |
| 18496459 | Local Area Network System with Machine Learning-Based Task Offload Feature | Roku, Inc. | ANYA, CHARLES E | 2194 | §103 | Final Rejection | 5d | Pending | Oct 27, 2023 |
| 18340808 | Content System with Speech-Related Audio Content Replacement Feature | Roku, Inc. | CHUNG, DANIEL WONSUK | 2659 | §102§103 | Non-Final OA | — | Pending | Jun 23, 2023 |
| 17932444 | Distributed Maintenance of Operational Data Among IoT Devices, with Soft-Wiring or Other Configuration | Roku, Inc. | ADHAMI, MOHAMMAD SAJID | 2471 | §103 | Non-Final OA | 50d | Pending | Sep 15, 2022 |
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Start Free Trial91.4% of resolved applications prosecuted by Mbhb - Roku were allowed, across 240 applications in USPTO records.
3.25 office actions per allowed application on average.
12 pending office actions as of October 2026, for 1 client, before 12 examiners in 11 art units.
