PATLY.AIExaminer difficulty
How examiners in this art unit compare
The spread of examiners on each measure. Click a bar to see who is in it.
3-year grant rate
72%
+5 pts vs tech center 3700 allowed within 3 years of the first action
Allowance rate
73%
+3 pts vs tech center 3700 range 72% to 73%
Rejections before allowance
1.3
−0.4 vs tech center 3700
Months to first action
21.1 mo
+0.4 vs tech center 3700
In plain words
With Art unit 3726, 72% of applications were allowed within three years of the first office action, against 67% for tech center 3700. The first action takes 21.1 months on average.
Timeline
Applications by filing year: drag across the years to study a period
Allowed in green, abandoned in red, pending in grey. The figures above and every chart that can be recomputed by filing year follow the span you pick; the rest are marked all years.
Ask the record
Questions practitioners ask, answered from 16,788 applications
Grant rate from the first action
Share allowed, by months after the first office action
The gold line is this record and the blue line is tech center 3700. The marker is the three-year grant rate.
Outcome simulator
Where you are, what you do next, and the odds that follow
A model of this record’s own transitions: each examiner action, the response to it, and what came next. Thin data borrows from tech center 3700.
Prosecution paths
How prosecution actually unfolds
Every application’s sequence of examiner actions, from the first action to the outcome. Hover a band for the count.
Compared with peers
Against the art unit, the tech center and the USPTO
The same figures for this record, tech center 3700, the tech center and the whole office.
Allowance over time
How fast applications are allowed, or abandoned
Share allowed (gold) and abandoned (red) by month since filing, with pending cases counted only while they are pending.
Rejection fingerprint
What gets rejected, by statute
Share of office actions raising each ground; blue is tech center 3700.
What works
Allowance by strategy used
Allowance rate among decided cases where each move was used at least once, against tech center 3700.
Interviews
Does an interview help?
Allowance with and without an examiner interview, and how often interviews happen.
Odds by round
Chance the next action is an allowance
After the first, second and later rejections.
Response clock
Days from a response to the next action
How long the examiner takes to act once you have answered.
Quarter-end timing
When allowances land in the fiscal quarter
Allowances by week of the USPTO fiscal quarter. An even spread would put 15% in the last two weeks.
Appeals
What happens on appeal
Appeals filed, briefs, examiner’s answers, and how the Board decided.
Trend
Allowance rate by filing year
Is it getting easier or harder? Gold is this record, blue is tech center 3700.
Who files here
Assignees and firms with the most applications
How often each one was allowed with this unit.
Landscape
Examiners across tech center 3700
Each dot is an examiner: allowance rate across, rejections before allowance down, size by caseload. Click one to open it.
Examiners
Every examiner in the unit, ranked by difficulty
| Examiner | Applications | Allowance rate | Difficulty |
|---|---|---|---|
| Jeannie Mina Ahn | 1 | 0% | P100 |
| Michael Talbot | 1 | 0% | P100 |
| David P Bryant | 113 | 18% | P98 Harder than peers |
| Kyle A Cook | 400 | 63% | P89 Harder than peers |
| Michael Wayne Hotchkiss | 497 | 71% | P86 Harder than peers |
| Christopher M Koehler | 633 | 63% | P84 Harder than peers |
| Christopher James Besler | 1,118 | 68% | P82 Harder than peers |
| Essama Omgba | 730 | 62% | P76 Harder than peers |
| Jacob James Cigna | 977 | 67% | P71 Typical for peers |
| Nirvana Deonauth | 787 | 73% | P67 Typical for peers |
| Dhanvir K Aujla | 3 | 67% | P65 |
| Steven A Maynard | 119 | 65% | P64 Typical for peers |
| Darrell Christopher Ford | 728 | 75% | P64 Typical for peers |
| Christine Pellazar Bersabal | 167 | 71% | P59 Typical for peers |
| Matthew P Travers | 959 | 69% | P54 Typical for peers |
| Lee A Holly | 843 | 80% | P52 Typical for peers |
| Ruth G Hidalgo-Hernandez | 358 | 74% | P50 Typical for peers |
| Lawrence Averick | 910 | 77% | P49 Typical for peers |
| Moshe K Wilensky | 983 | 77% | P46 Typical for peers |
| Alexander P Taousakis | 527 | 73% | P37 Typical for peers |
| Sarang Afzali | 1,067 | 76% | P37 Typical for peers |
| Rick Kiltae Chang | 999 | 81% | P34 Typical for peers |
| Bayan Salone | 1,131 | 81% | P26 Typical for peers |
| Jun S Yoo | 774 | 80% | P26 Typical for peers |
| Ryan J Walters | 1,044 | 80% | P22 Easier than peers |
| John C Hong | 1,320 | 84% | P21 Easier than peers |
| Justin Michael Sikorski | 51 | 78% | P13 Easier than peers |
| Jason L Vaughan | 1,196 | 83% | P11 Easier than peers |
| Amanda J Kreiling | 781 | 88% | P9 Easier than peers |
| Jermie E Cozart | 1,283 | 88% | P9 Easier than peers |
| Matthew James Beisel | 7 | 86% | P9 |
| Lawrence Edward Burkart | 4 | 100% | P5 |