Technology areas: Computing & Software • Communications
6 pending office actions • 1 client • 6 examiners • 6 art units • 0 of 6 (0%) have an AI response strategy ready • 17 patents granted in the last 365 days
MBHB - Spotify focuses on Computing & Software and has 374 career applications. The profile lists 6 pending office actions and a 97.54% resolved allowance rate, indicating that nearly all resolved applications reached allowance.
The average of 3.7 office actions per allowance shows that favorable resolution commonly followed repeated examination activity. Practitioners can use the limited pending docket to assess current workload while using the allowance figures to understand historical prosecution outcomes.
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 only | 1 (17%) |
| §101 + other | 2 (33%) |
| §103 only | 3 (50%) |
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 |
|---|---|---|---|
| NGUYEN, CAM LINH T | 1 | 83.9% | +13.4% |
| CRESPO FEBLES, HECTOR J | 1 | 100.0% | +0.0% |
| WASAFF, JOHN S. | 1 | 33.8% | +44.0% |
| PHAM, JESSICA THUY | 1 | 18.2% | +90.0% |
| CHOWDHURY, NIGAR | 1 | 69.1% | +16.8% |
| CHAVEZ, RODRIGO A | 1 | 52.1% | +37.9% |
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.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19039572 | Human-Machine Interfaces for Utterance-Based Playlist Selection | CRESPO FEBLES, HECTOR J | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | PHAM, JESSICA THUY | 28d |
| 19090827 | Media Content Item Recommendation System | NGUYEN, CAM LINH T | — |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | WASAFF, JOHN S. | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17898191 | GROUP LISTENING SESSION DISCOVERY | CHOWDHURY, NIGAR | 9d |
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | PHAM, JESSICA THUY | 28d |
| 17584512 | SERVER-BASED FALSE WAKE WORD DETECTION | CHAVEZ, RODRIGO A | 34d |
| 19090827 | Media Content Item Recommendation System | NGUYEN, CAM LINH T | — |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | WASAFF, JOHN S. | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Spotify AB | 6 |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2653 | 1 |
| 3629 | 1 |
| 2121 | 1 |
| 2484 | 1 |
| 2658 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19090827 | Media Content Item Recommendation System | Spotify AB | NGUYEN, CAM LINH T | 2161 | §101Other | Final Rejection | — | Pending | Mar 26, 2025 |
| 19039572 | Human-Machine Interfaces for Utterance-Based Playlist Selection | Spotify AB | CRESPO FEBLES, HECTOR J | 2653 | §103 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | Spotify AB | WASAFF, JOHN S. | 3629 | §101§103 | Non-Final OA | — | Pending | Feb 27, 2024 |
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | Spotify AB | PHAM, JESSICA THUY | 2121 | §101§103§112 | Final Rejection | 28d | Pending | Nov 16, 2022 |
| 17898191 | GROUP LISTENING SESSION DISCOVERY | Spotify AB | CHOWDHURY, NIGAR | 2484 | §103 | Final Rejection | 9d | Pending | Aug 29, 2022 |
| 17584512 | SERVER-BASED FALSE WAKE WORD DETECTION | Spotify AB | CHAVEZ, RODRIGO A | 2658 | §103 | Final Rejection | 34d | Pending | Jan 26, 2022 |
IP Author helps law firms respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial97.5% of resolved applications prosecuted by Mbhb - Spotify were allowed, across 374 applications in USPTO records.
3.70 office actions per allowed application on average.
6 pending office actions as of October 2026, for 1 client, before 6 examiners in 6 art units.
