Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 5 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Qualtrics LLC has 9 pending office actions in Transportation, E-Commerce & Mechanical Systems. The docket involves 9 distinct examiners and 5 distinct art units, indicating broad examiner dispersion across a more limited set of technical units.
DIVELBISS, MATTHEW H is the busiest examiner, with 1 pending matter. That figure is below the portfolio total, so no single examiner dominates the recorded activity. Counsel should coordinate claim strategy across the art-unit assignments while preserving matter-specific treatment for examiner positions.
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 only | 2 (22%) |
| §101 + other | 4 (44%) |
| §103 only | 2 (22%) |
| Multi-statute (no §101) | 1 (11%) |
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 |
|---|---|---|---|
| DIVELBISS, MATTHEW H | 1 | 24.2% | +25.6% |
| BECKER, TYLER JUSTIN | 1 | 75.9% | +12.7% |
| GODBOLD, DOUGLAS | 1 | 83.4% | +10.6% |
| WALTON, CHESIREE A | 1 | 31.1% | +29.1% |
| FEACHER, LORENA R | 1 | 28.6% | +31.9% |
| GARCIA-GUERRA, DARLENE | 1 | 23.2% | +34.4% |
| KHATTAR, RAJESH | 1 | 36.9% | +35.6% |
| PASHA, ATHAR N | 1 | 90.0% | +16.7% |
| BYRD, UCHE SOWANDE | 1 | 22.7% | +26.1% |
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 |
|---|---|---|---|
| 18940609 | ORCHESTRATING MACHINE LEARNING MODELS TO CREATE SAFE, ROBUST, PERSONALIZED, BRAND EXPERIENCES BETWEEN USERS AND AN ARTIFICIAL INTELLIGENCE AGENT | GODBOLD, DOUGLAS | — |
| 18438230 | GENERATING COMMUNICATION SUMMARIES USING ARTIFICIAL INTELLIGENCE MODELS, SUMMARY TEMPLATES, AND ENRICHED TRANSCRIPTS | PASHA, ATHAR N | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18929363 | DETERMINING AND APPLYING ATTRIBUTE DEFINITIONS TO DIGITAL SURVEY DATA TO GENERATE SURVEY ANALYSES | WALTON, CHESIREE A | 3d overdue |
| 19205455 | UTILIZING A KNOWLEDGE GRAPH TO IMPLEMENT A DIGITAL SURVEY SYSTEM | DIVELBISS, MATTHEW H | — |
| 18962421 | INTELLIGENTLY SUMMARIZING AND PRESENTING TEXTUAL RESPONSES WITH MACHINE LEARNING | BECKER, TYLER JUSTIN | — |
| 18906980 | UTILIZING LARGE LANGUAGE MODELS TO GENERATE OBFUSCATED SUMMARIES OF EMPLOYEE FEEDBACK DATA AND MODIFICATION SUGGESTIONS BASED ON THE EMPLOYEE FEEDBACK DATA | FEACHER, LORENA R | — |
| 18824151 | GENERATING CUSTOMIZED FOLLOW-UP SURVEY INQUIRIES BASED ON RESPONSE QUALITY IN REAL TIME UTILIZING A MULTIMODAL MODEL | GARCIA-GUERRA, DARLENE | — |
| 18824067 | DETERMINING FRAUDULENT SURVEY RESPONSES TO DIGITAL SURVEYS USING RULE-BASED MODELS AND MACHINE-LEARNING MODELS | KHATTAR, RAJESH | — |
| 17929596 | GENERATING AND PROVIDING AN ACCOUNT PRIORITIZATION SCORE BY INTEGRATING EXPERIENCE DATA AND ORGANIZATION DATA | BYRD, UCHE SOWANDE | — |
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 |
|---|---|---|---|
| 18929363 | DETERMINING AND APPLYING ATTRIBUTE DEFINITIONS TO DIGITAL SURVEY DATA TO GENERATE SURVEY ANALYSES | WALTON, CHESIREE A | 3d overdue |
| 19205455 | UTILIZING A KNOWLEDGE GRAPH TO IMPLEMENT A DIGITAL SURVEY SYSTEM | DIVELBISS, MATTHEW H | — |
| 18962421 | INTELLIGENTLY SUMMARIZING AND PRESENTING TEXTUAL RESPONSES WITH MACHINE LEARNING | BECKER, TYLER JUSTIN | — |
| 18940609 | ORCHESTRATING MACHINE LEARNING MODELS TO CREATE SAFE, ROBUST, PERSONALIZED, BRAND EXPERIENCES BETWEEN USERS AND AN ARTIFICIAL INTELLIGENCE AGENT | GODBOLD, DOUGLAS | — |
| 18906980 | UTILIZING LARGE LANGUAGE MODELS TO GENERATE OBFUSCATED SUMMARIES OF EMPLOYEE FEEDBACK DATA AND MODIFICATION SUGGESTIONS BASED ON THE EMPLOYEE FEEDBACK DATA | FEACHER, LORENA R | — |
| 18824151 | GENERATING CUSTOMIZED FOLLOW-UP SURVEY INQUIRIES BASED ON RESPONSE QUALITY IN REAL TIME UTILIZING A MULTIMODAL MODEL | GARCIA-GUERRA, DARLENE | — |
| 18824067 | DETERMINING FRAUDULENT SURVEY RESPONSES TO DIGITAL SURVEYS USING RULE-BASED MODELS AND MACHINE-LEARNING MODELS | KHATTAR, RAJESH | — |
| 18438230 | GENERATING COMMUNICATION SUMMARIES USING ARTIFICIAL INTELLIGENCE MODELS, SUMMARY TEMPLATES, AND ENRICHED TRANSCRIPTS | PASHA, ATHAR N | — |
| Art Unit | Apps |
|---|---|
| 3624 | 3 |
| 2657 | 2 |
| 3625 | 2 |
| 2655 | 1 |
| 3684 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19205455 | UTILIZING A KNOWLEDGE GRAPH TO IMPLEMENT A DIGITAL SURVEY SYSTEM | DIVELBISS, MATTHEW H | 3624 | §101§103 | Non-Final OA | — | Pending | May 12, 2025 |
| 18962421 | INTELLIGENTLY SUMMARIZING AND PRESENTING TEXTUAL RESPONSES WITH MACHINE LEARNING | BECKER, TYLER JUSTIN | 2657 | §102§103 | Final Rejection | — | Pending | Nov 27, 2024 |
| 18940609 | ORCHESTRATING MACHINE LEARNING MODELS TO CREATE SAFE, ROBUST, PERSONALIZED, BRAND EXPERIENCES BETWEEN USERS AND AN ARTIFICIAL INTELLIGENCE AGENT | GODBOLD, DOUGLAS | 2655 | §103 | Final Rejection | — | Pending | Nov 07, 2024 |
| 18929363 | DETERMINING AND APPLYING ATTRIBUTE DEFINITIONS TO DIGITAL SURVEY DATA TO GENERATE SURVEY ANALYSES | WALTON, CHESIREE A | 3624 | §101§103 | Final Rejection | 3d overdue | Pending | Oct 28, 2024 |
| 18906980 | UTILIZING LARGE LANGUAGE MODELS TO GENERATE OBFUSCATED SUMMARIES OF EMPLOYEE FEEDBACK DATA AND MODIFICATION SUGGESTIONS BASED ON THE EMPLOYEE FEEDBACK DATA | FEACHER, LORENA R | 3625 | §101§103§112 | Final Rejection | — | Pending | Oct 04, 2024 |
| 18824151 | GENERATING CUSTOMIZED FOLLOW-UP SURVEY INQUIRIES BASED ON RESPONSE QUALITY IN REAL TIME UTILIZING A MULTIMODAL MODEL | GARCIA-GUERRA, DARLENE | 3625 | §101§103 | Final Rejection | — | Pending | Sep 04, 2024 |
| 18824067 | DETERMINING FRAUDULENT SURVEY RESPONSES TO DIGITAL SURVEYS USING RULE-BASED MODELS AND MACHINE-LEARNING MODELS | KHATTAR, RAJESH | 3684 | §101 | Final Rejection | — | Pending | Sep 04, 2024 |
| 18438230 | GENERATING COMMUNICATION SUMMARIES USING ARTIFICIAL INTELLIGENCE MODELS, SUMMARY TEMPLATES, AND ENRICHED TRANSCRIPTS | PASHA, ATHAR N | 2657 | §103 | Non-Final OA | — | Pending | Feb 09, 2024 |
| 17929596 | GENERATING AND PROVIDING AN ACCOUNT PRIORITIZATION SCORE BY INTEGRATING EXPERIENCE DATA AND ORGANIZATION DATA | BYRD, UCHE SOWANDE | 3624 | §101 | Non-Final OA | — | Pending | Sep 02, 2022 |
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Start Free TrialQualtrics LLC has 9 pending office actions as of October 2026, spread across 5 art units and 9 examiners.
Matthew H Divelbiss has the most, with 1 of Qualtrics LLC's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
