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Questions aim low, answers land high

Questions aim low, answers land high: the dialogue keeps correcting expectations upward with facts already in hand

Calls Tested
499
Answered YES
67
Hit Rate
13.4%
rare by design

LendingClub Corporation (LC) — this company's answers

NO on the Q4 2021 call 2022-01-26 A
The model's full reasoning — Q4 2021 call → NOWe need to determine if there is a recurring mismatch in level between questioners and management, with questions below the business and management correcting upward with concrete already-happening facts. Let's analyze the Q&A exchanges. First question from David Chiaverini: about origination guidance for 2022 being conservative compared to second half 2021. He asks if it seems conservative. Management responds by explaining seasonality, market conditions, and that they are focused on prime customers. They don't really correct upward; they explain why guidance is what it is. They say "we'll be well positioned if the market... but at this point, it's early." That's not a correction upward with concrete facts; it's more of a cautious explanation. Second question from David: about auto refi mix and tailwind. Management says numbers are small, growth rate high, but not meaningful contributor. That's not a correction upward; it's a downplaying. Third question from David: about retention range. Management says they went to higher end due to favorability, and they are motivated to make it as high as they can. That's a slight upward correction but not a major mismatch. Next question from Bill Ryan: about provisioning rate. Management gives a range. Not a mismatch. Next question from Bill: about marketing expense as percentage of originations. Management says they feel good about efficiency, will be back to pre-pandemic range. Not a clear upward correction. Next question from Giuliano Bologna: about magnitude of investments in technology and other sides. Management gives numbers: $25 million marketing, $25 million tech, etc. That's not a correction upward; it's just providing details. Next question from Giuliano: about new customers percentage and marketing expenses. Management says around 2% is where they'll shake out. Not a correction. Next question from John Rowan: about charge-off rate and fully mature book. Management gives numbers. Not a mismatch. Next question from John: about margin profile and how much more to move up. Management says circa 9% target. That's a modest upward correction but not a recurring pattern. Next question from Stephen Kwok: about unsecured consumer loan yield. Management explains mix and prepayments. Not a clear mismatch. Then pre-submitted questions from retail investors: about willingness to spend more and credit box.

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Show the exact prompt the model was given
Using ONLY the supplied earnings call transcript and no outside information: Reading this call as a whole, is there a clear, recurring MISMATCH IN LEVEL between what the questioners assume about the company and what management reports is actually happening — with the mismatch running in the UPWARD direction — such that analysts' questions are framed around a more modest, more cautious, or more troubled version of the business, and management repeatedly answers by correcting that frame UPWARD using concrete things that have ALREADY happened or are ALREADY happening? Answer YES when BOTH halves of this one dynamic come through across the call, in whatever form fits the business: (1) THE QUESTIONS SIT BELOW THE BUSINESS. Across multiple exchanges — not just one — the analysts' questions are premised on a lower or more guarded picture of the company than management's account supports: probing whether recent strength can hold or must fade, asking about risks, slowdowns, competition, funding, or problems that management's answers show are not what the business is currently experiencing, sizing the company's prospects around its old level or old story, or treating as uncertain things management describes as already settled. The cautious framing may be polite, routine, or skeptical in tone — what matters is that the expectations embedded in the questions run BELOW what the answers reveal. (2) MANAGEMENT CORRECTS UPWARD WITH THINGS ALREADY REAL. In responding, management does not merely reassure, promise, or express confidence — it repeatedly answers the cautious premise by pointing to concrete, present-tense or just-happened operating facts that exceed it: actual orders, customers, volumes, activity, output, utilization, commitments, or operational progress already occurring, described with enough specificity (who, what, how much, how recently, or what changed) that the correction rests on observed reality rather than on outlook language. The overall effect of the call is that a reader watching only the dialogue sees the company's actual current level repeatedly coming in ABOVE where the questioners had placed it, with management conveying — directly or plainly in substance — that this stronger current reality is continuing rather than concluded. Answer NO if the questions and answers sit at the same level — analysts and management sharing one picture of the business, whether good or bad. NO if the analysts' expectations run ABOVE the business, with management talking enthusiasm down, hedging, or conceding weakness. NO if management's corrections rest mainly on plans, guidance, pipeline, market size, or confidence rather than on things already happening. NO if the upward correction occurs in only a single exchange while the rest of the call is aligned. NO if management corrects the frame with one-time items, windfalls, or conditions it itself expects to reverse. NO if the reported period is weak and management is chiefly excusing it or promising a turnaround. NO if there is no substantive question-and-answer dialogue in the transcript from which the mismatch can be judged. Use only the supplied transcript. Answer only YES or NO.

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TOST Toast, Inc. Q4 2022 2023-02-16 C+
ADPT Adaptive Biotechnologies Corporation Q4 2022 2023-02-14 C+
ADM Archer-Daniels-Midland Company Q4 2022 2023-01-26 C+
HBAN Huntington Bancshares Incorporated Q4 2022 2023-01-20 B
UAL United Airlines Holdings, Inc. Q4 2022 2023-01-18 B
ICL ICL Group Ltd Q3 2022 2022-11-09 B+
SYY Sysco Corporation Q1 2023 2022-11-01 C+
FLR Fluor Corporation Q2 2022 2022-08-05 D
CRL Charles River Laboratories International Q2 2022 2022-08-03 C
HLNE Hamilton Lane Incorporated Q1 2023 2022-08-02 C+
SGRY Surgery Partners, Inc. Q2 2022 2022-08-02 B+
IT Gartner, Inc. Q2 2022 2022-08-02 A
LIN Linde plc Q2 2022 2022-07-28 B+
CME CME Group Inc. Q2 2022 2022-07-27 B
PRGS Progress Software Corporation Q2 2022 2022-06-28 B+
KFY Korn Ferry Q4 2022 2022-06-22 B
BHF Brighthouse Financial, Inc. Q1 2022 2022-05-10 C
VVV Valvoline Inc. Q1 2022 2022-02-09 C+
GFS GLOBALFOUNDRIES Inc. Q3 2021 2021-11-30 A
MD Pediatrix Medical Group, Inc. Q3 2021 2021-10-28 B
LOPE Grand Canyon Education, Inc. Q2 2021 2021-08-08 C
T AT&T Inc. Q3 2018 2018-10-24 C+
STM STMicroelectronics NV Q3 2018 2018-10-24 C+
TMHC Taylor Morrison Home Corporation Q2 2018 2018-08-01 B
ORAN Orange SA Q2 2018 2018-07-26 B
KIM Kimco Realty Corporation Q2 2018 2018-07-26 B+
HPE Hewlett Packard Enterprise Company Q2 2018 2018-05-22 B+
LAUR Laureate Education, Inc. Q1 2018 2018-05-13 B+
SATS EchoStar Corporation Q1 2018 2018-05-10 C+
ALLY Ally Financial Inc. Q1 2018 2018-04-26 B+
KRG Kite Realty Group Trust Q1 2018 2018-04-26 C+
AVT Avnet, Inc. Q2 2018 2018-01-25 B
RACE Ferrari N.V. Q3 2017 2017-11-02 C+
IR Ingersoll-Rand Plc Q3 2017 2017-10-25 B
SNA Snap-on Incorporated Q3 2017 2017-10-19 B
LIND Lindblad Expeditions Holdings, Inc. Q2 2017 2017-08-06 C
CCOI Cogent Communications Holdings, Inc. Q2 2017 2017-08-03 B
LEA Lear Corporation Q2 2017 2017-07-26 B+
DHR Danaher Corporation Q1 2017 2017-04-20 B
CAG Conagra Brands, Inc. Q2 2017 2016-12-22 C+
MAT Mattel, Inc. Q3 2016 2016-10-19 C
CGNX Cognex Corporation Q2 2016 2016-08-01 A
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DD DuPont de Nemours, Inc. Q1 2016 2016-04-26 B+
HPP Hudson Pacific Properties, Inc. Q4 2015 2016-02-25 C
HD The Home Depot, Inc. Q4 2015 2016-02-23 A
JHX James Hardie Industries plc Q3 2016 2016-02-19 B+

How the model reasoned

GOGO · Q1 2016 → YESThe question is about whether there's a clear, recurring mismatch where analysts assume a more modest/cautious/troubled version, and management corrects UPWARD with things already happening. YES The analysts' questions repeatedly frame the business around cautious or risk-oriented assumptions—such as ARPA trajectory concerns amid competition, cash and liquidity needs, potential sentiment issues with the Gogo brand, and competitive pressures from Panasonic—while management consistently corrects upward by citing concrete, already-realized facts: record revenues, 2Ku now in service on AeroMexico and IAG, over 1,000 planes awarded, Delta increases, install records, and backlog progress already achieved. This pattern repeats across multiple exchanges, with management pointing to present-tense operational realities that exceed the cautious premises embedded in the questions.
LAUR · Q1 2018 → YESThe question is about whether there's a clear, recurring mismatch in level between what the questioners assume and what management reports, with the mismatch running UPWARD. Analysts think more modest...YES The transcript shows a clear recurring mismatch running upward. Analysts repeatedly probe cautious angles—Chile as a potential end rather than final ruling, Brazil FIES exposure as a risk, margin phasing and guidance including divestitures, Turkey as needing update, FCF not raised despite Chile, leverage post-St. Augustine, and Accelerator 2.0 health sciences—framing the business around lingering uncertainties or modest upside.
JHX · Q3 2016 → YESThe question is about whether there's a clear, recurring mismatch where analysts assume a more modest/cautious/troubled version, and management corrects UPWARD with concrete things already happening. ...NO The transcript shows analysts probing for signs of weakness or slowdowns (seasonal margins, destocking, Europe performance, PDG pickup, volumes vs targets), but management repeatedly corrects upward with concrete current facts: strong Q3 margins (2.6 points better), no destocking, plants running well, costs controlled, 12% volume growth, Europe already through the one-off, and inventory normalized.

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Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our methodology.