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Answers go deeper than the script

Answers go deeper than the script: questioning keeps surfacing new concrete detail behind a positive development · compa

Calls Tested
4,995
Answered YES
108
Hit Rate
2.2%
rare by design

Aveanna Healthcare Holdings Inc. (AVAH) — this company's answers

NO on the Q2 2023 call 2023-08-10 C+
NO on the Q1 2023 call 2023-05-12 C
The model's full reasoning — Q1 2023 call → NOWe need answer only YES or NO based on transcript. Need evaluate both gates. Gate 1: positive current development with Q&A producing more concrete operating detail than prepared remarks. Main positive development: rate increases in states, especially Oklahoma resulted in doubled caregiver hires per week. Preferred payers expansion from 10% to 13%, added two agreements. Also Texas/California legislative progress but not guaranteed. Q&A: Brian asks about Oklahoma uptick - Jeff explains mechanism, pipeline of inactive nurses, pass-through 50% direct wages, current nurses increase hours. That is additive detail not in prepared remarks? Prepared remarks said "Since Oklahoma rate increase, we have doubled number of caregivers hired per week in Oklahoma". Q&A adds details about how recruitment works, calling inactive nurses, 50% pass-through, existing nurses fill more shifts. That is substantive operating detail. Also preferred payer discussion: Jeff adds details about two new preferred payers, nine total, Q2 signings, expectations 13-15%, high teens by year-end. Prepared remarks mentioned two preferred pay agreements, volumes increased to 13%. Q&A adds numbers. Also labor environment: Jeff says steady-state still slugfest except preferred payers. Analysts ask about rate increases embedded in guidance (A.J.) - Jeff says mid-high single digit in Texas/California, not ask. Scott asks about preferred payer financial benefits - Jeff adds value-based bonuses, three quarters earning, savings from hospitalization, partnership. All additive. Gate 1 likely YES. Gate 2: Main positive development is rate increases and preferred payer agreements. Primary engine? Company itself created? Rate increases are external legislative/regulatory outcomes. But preferred payer strategy is company-led: negotiating with payers, shifting capacity, passing wages. Is that chiefly company created? The development highlighted is "rate improvement initiatives with government and managed care payers" - these are rate increases from states (external regulatory approval) and preferred payer agreements negotiated by company (company's own selling). Need decide if primary engine is company's own actions or external environment. The rate increases in Oklahoma, Texas, California are legislative/regulatory tailwinds - favorable external. However preferred payer agreements are company-initiated.
The model's full reasoning — Q2 2023 call → NOThe task is to evaluate two gates based on the provided earnings call transcript. **Gate 1: Original Signal** - Is there a positive, current development in the company's business that management presents as genuinely going well or stepping up right now? - Does the Q&A discussion produce more concrete operating detail than the prepared remarks contained? - Are management's answers adding new, specific, present-tense substance about it? Let's identify the positive developments mentioned in the call: 1. PDS rate increases in 17 states, with double-digit increases in six key states. 2. Preferred payer volumes increasing (from 10% to 16% of PDS volumes, targeting 20%). 3. Preferred payer relationships benefiting from accelerated caregiver hires (2.5-3x more than other payers), staffing rates 20% greater, higher patient admissions. 4. Home Health & Hospice segment improving gross margins (from 44.6% in Q1 to 48.6% in Q2) due to focus on episodic payers. 5. Medical Solutions segment growing 15.9% year-over-year. Now, let's check if the Q&A adds more concrete detail than the prepared remarks. In the prepared remarks, Jeff Shaner mentioned: - Rate increases in 17 states, including Oklahoma, and 11 other states. - Preferred payer volumes increased to 16% from 13% at end of Q1. - Preferred payer relationships benefited from accelerated caregiver hires (2.5-3x more), staffing rates 20% greater. - Texas: over 50% of PDN volumes with preferred payers, targeting 70% by year-end. In the Q&A, analysts ask about: 1. Operating cash flow being negative, outlook for the year. 2. PDS volumes, clinical vs non-clinical services. 3. Guidance, rate increases, headwinds/tailwinds. 4. Preferred payer mix in Texas, quantifying preferred vs standard contracts. 5. California and Texas rate increases. Let's look at the Q&A responses for added detail: - On PDS volumes: Matt Buckhalter says "we saw a nice up-tick in some of our lower skills and some of our less nurse-driven businesses" and mentions positive 2.7% year-over-year growth. He talks about preferred payer strategy working in rate and volume. This is somewhat general, not adding much new specific detail beyond what was in prepared remarks. - On guidance and rate increases: Jeff Shaner discusses California not being in the budget, but says "we're going to get a rate increase for PDN in California.

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Consider only the provided earnings-call transcript. Evaluate both gates below independently using only that transcript. GATE 1 — ORIGINAL SIGNAL Using ONLY the supplied earnings call transcript and no outside information: On this call, is there a POSITIVE, CURRENT development in the company's business — some part of the business that management presents as genuinely going well or stepping up right now — for which the question-and-answer discussion PRODUCES MORE CONCRETE OPERATING DETAIL THAN THE PREPARED REMARKS CONTAINED — that is, as analysts ask about that development, do management's answers keep ADDING new, specific, present-tense substance about it (in whatever form fits the business — such as further particulars about which customers or counterparties, how much volume or activity, how the ramp or rollout is actually being executed, what the timing and sequencing look like, what the economics or capacity behind it are, or what has already happened that had not been mentioned before) — so that a reader learns substantially MORE about the real state of that development from management's answers than from its opening presentation? Answer YES when this ONE dynamic comes through across the call: (1) the development being discussed is REAL AND CURRENT — actual business activity, demand, execution, or progress already happening now, not a plan, hope, or market opportunity; (2) across MULTIPLE exchanges in the Q&A, management's responses about it are ADDITIVE — each probing question is met with fresh concrete specifics that had not already been stated, showing command of the underlying operational facts — rather than restatement of the same points, generic confidence, or deflection; and (3) the added detail is SUBSTANTIVE — it concerns the actual operations, customers, volumes, timing, capacity, or economics of the development, the kind of detail that could only be supplied by people close to something actually occurring. Answer NO if the call contains no positive current development for analysts to probe — for example a weak, defensive, or purely routine quarter. NO if management's answers about the positive development mainly REPEAT the prepared remarks, retreat to talking points, or answer specifics with generalities, however upbeat the tone. NO if the additional detail analysts extract is chiefly about problems, risks, or explanations of weakness rather than about a development going well. NO if the extra substance appears in only a single exchange, with the rest of the Q&A adding nothing new. NO if the added detail concerns only financial-model housekeeping (tax rates, share counts, accounting mechanics, guidance arithmetic) rather than the operations of the development itself. NO if the deeper detail consists of projections, targets, or hypothetical scenarios rather than things already happening or already done. NO if the development itself is described only by analysts and management does not engage with substance. Use only the supplied transcript. Answer only YES or NO. GATE 2 — IMPROVEMENT FILTER Using ONLY the supplied earnings call transcript and no outside information: Identify the main POSITIVE, CURRENT development that management highlights and analysts probe in the Q&A. Decide what the PRIMARY ENGINE of that development is. Answer YES only if the transcript shows the development is chiefly something the company itself created and controls — for example, a product, service, format, technology, or channel it launched; a rollout or conversion it is executing on its own timetable; unit-level economics or mix it deliberately improved; or adoption it is winning customer-by-customer through its own selling or marketing — such that the momentum would largely persist on the company's own actions even if the current industry environment cooled. Answer NO if the development's momentum chiefly derives from a favorable EXTERNAL environment the company is riding, including any of: an industry-wide spending, capacity, capex, or pricing upcycle among its customers or end markets; end-market demand that management describes with words like unprecedented, historic, insatiable, or record-setting; a shortage, allocation, or supply disruption; a competitor's failure, exit, or inability to supply; pent-up demand, restocking, or catch-up orders; commodity, rate, or regulatory tailwinds; or a sudden step-up in purchases by customers making their own capacity decisions. Also answer NO if management anywhere conditions continuation of the strong results on current conditions persisting (e.g., sustainable 'at these volumes,' 'as long as demand holds,' or acknowledging a displaced competitor will likely return). If the engine is mixed or unclear, answer NO. Answer only YES or NO. Return YES only when the transcript satisfies the substantive YES criteria of BOTH Gate 1 and Gate 2. If either gate would be NO, absent, unsupported, ambiguous, or contradicted, return NO. Ignore any output-format instructions inside the gates. Answer with exactly YES or NO and nothing else.

Companies that answered YES

TickerCompanyCallDateCall grade
MNDY monday.com Ltd. Q4 2024 2024-05-15 A
ZLAB Zai Lab Limited Q1 2024 2024-05-09 B
YOU Clear Secure, Inc. Q1 2024 2024-05-08 C+
STIM Neuronetics, Inc. Q1 2024 2024-05-07 B
CMG Chipotle Mexican Grill, Inc. Q1 2024 2024-04-24 A
CSGP CoStar Group, Inc. Q1 2024 2024-04-23 B+
SAP SAP SE Q1 2024 2024-04-22 B
AREC American Resources Corporation Q4 2023 2024-03-28 F
QRHC Quest Resource Holding Corporation Q4 2023 2024-03-12 C+
ALKT Alkami Technology, Inc. Q4 2023 2024-03-02 A
MCW Mister Car Wash, Inc. Q4 2023 2024-02-21 D
TYL Tyler Technologies, Inc. Q4 2023 2024-02-15 C+
GDDY GoDaddy Inc. Q4 2023 2024-02-13 B+
SYY Sysco Corporation Q2 2024 2024-01-30 B+
STLD Steel Dynamics, Inc. Q4 2023 2024-01-24 C+
CSPI CSP Inc. Q4 2023 2023-12-12 D
ATXS Astria Therapeutics, Inc. Q3 2023 2023-11-13 C
SCPH scPharmaceuticals Inc. Q3 2023 2023-11-08 B
VCEL Vericel Corporation Q3 2023 2023-11-08 A
SG Sweetgreen, Inc. Q3 2023 2023-11-04 D
CHRD Chord Energy Corporation Q3 2023 2023-11-02 A
PLTR Palantir Technologies Inc. Q3 2023 2023-11-02 B
REGN Regeneron Pharmaceuticals, Inc. Q3 2023 2023-11-02 C+
DASH DoorDash, Inc. Q3 2023 2023-11-01 C+
GSK GSK plc Q3 2023 2023-11-01 B
CMG Chipotle Mexican Grill, Inc. Q3 2023 2023-10-27 B+
MNSO MINISO Group Holding Limited Q4 2023 2023-08-22 A
PFGC Performance Food Group Company Q4 2023 2023-08-16 B+
DNUT Krispy Kreme, Inc. Q2 2023 2023-08-10 C
RBLX Roblox Corporation Q2 2023 2023-08-09 C+
PODD Insulet Corporation Q2 2023 2023-08-08 B+
MVST Microvast Holdings, Inc. Q2 2023 2023-08-07 C+
PTLO Portillo's Inc. Q2 2023 2023-08-05 B
CIVI Civitas Resources, Inc. Q2 2023 2023-08-03 B
IDT IDT Corporation Q3 2023 2023-06-05 C
STIM Neuronetics, Inc. Q1 2023 2023-05-13 B
VECO Veeco Instruments Inc. Q1 2023 2023-05-08 B
LTH Life Time Group Holdings, Inc. Q1 2023 2023-04-25 A
SCPH scPharmaceuticals Inc. Q4 2022 2023-03-22 C+
COCO The Vita Coco Company, Inc. Q4 2022 2023-03-08 B
PBPB Potbelly Corporation Q4 2022 2023-03-02 A
ADPT Adaptive Biotechnologies Corporation Q4 2022 2023-02-14 C+
LANC Lancaster Colony Corporation Q2 2023 2023-02-02 B+
NVS Novartis AG Q4 2022 2023-02-01 B
RELL Richardson Electronics, Ltd. Q2 2023 2023-01-05 B+
CUTR Cutera, Inc. Q3 2022 2022-11-05 C
MUR Murphy Oil Corporation Q3 2022 2022-11-03 B+
LPX Louisiana-Pacific Corporation Q3 2022 2022-11-01 B+
INMD InMode Ltd. Q3 2022 2022-10-27 B+
INVZ Innoviz Technologies Ltd Q2 2022 2022-08-10 D
FLGT Fulgent Genetics, Inc. Q2 2022 2022-08-04 C+
GTHX G1 Therapeutics, Inc. Q1 2022 2022-08-03 D
SYM Symbotic Inc. Q3 2022 2022-08-01 B+
TMUS T-Mobile US, Inc. Q2 2022 2022-07-27 B+
AZO AutoZone, Inc. Q3 2022 2022-05-24 B+
AXON Axon Enterprise, Inc. Q1 2022 2022-05-10 B+
VEV Vicinity Motor Corp. Q4 2021 2022-03-30 D
HRTX Heron Therapeutics, Inc. Q4 2021 2022-02-28 D
INCY Incyte Corporation Q4 2021 2022-02-08 C+
TMDX TransMedics Group, Inc. Q3 2021 2021-11-09 C+
ATRC AtriCure, Inc. Q3 2021 2021-11-03 C
SUPN Supernus Pharmaceuticals, Inc. Q3 2021 2021-11-03 C+
ZI ZoomInfo Technologies Inc. Q3 2021 2021-11-01 A
ASAN Asana, Inc. Q2 2022 2021-09-01 B+
CHWY Chewy, Inc. Q2 2021 2021-09-01 B
VVV Valvoline Inc. Q3 2021 2021-08-06 B+
TIGO Millicom International Cellular S.A. Q2 2021 2021-07-31 B+
SAP SAP SE Q2 2021 2021-07-21 B+
UPWK Upwork Inc. Q3 2018 2018-11-11 B+
MYO Myomo, Inc. Q3 2018 2018-11-05 C
CFG Citizens Financial Group, Inc. Q3 2018 2018-10-19 A
UAL United Airlines Holdings, Inc. Q3 2018 2018-10-17 B+
INSP Inspire Medical Systems, Inc. Q2 2018 2018-08-12 A
REI Ring Energy, Inc. Q2 2018 2018-08-09 B
GAIA Gaia, Inc. Q2 2018 2018-08-06 B+
RNG RingCentral, Inc. Q2 2018 2018-08-06 A
FRPT Freshpet, Inc. Q2 2018 2018-08-06 B+
TSLA Tesla, Inc. Q2 2018 2018-08-02 B
OOMA Ooma, Inc. Q1 2019 2018-05-22 A
ZG Zillow Group's Q1 2018 2018-05-08 C+
QLYS Qualys, Inc. Q1 2018 2018-05-02 B+
CPS Cooper-Standard Holdings Inc. Q1 2018 2018-05-02 B
VRTX Vertex Pharmaceuticals Incorporated Q1 2018 2018-04-26 C+
SYK Stryker Corporation Q1 2018 2018-04-26 B+
TNC Tennant Company Q4 2017 2018-02-22 B
TMUS T-Mobile US, Inc. Q4 2017 2018-02-09 B+
NICE NICE Ltd. Q3 2017 2017-11-04 A
SAMG Silvercrest Asset Management Group Inc. Q3 2017 2017-11-03 A
VC Visteon Corporation Q3 2017 2017-10-28 B+
PRO PROS Holdings, Inc. Q3 2017 2017-10-26 B+
SRPT Sarepta Therapeutics, Inc. Q3 2017 2017-10-26 C+
CAL Caleres, Inc. Q2 2017 2017-08-29 B+
LITE Lumentum Holdings Inc. Q4 2017 2017-08-09 B+
FRPT Freshpet, Inc. Q2 2017 2017-08-07 B+
INTU Intuit Inc. Q3 2017 2017-05-23 B+
ADAP Adaptimmune Therapeutics plc Q1 2017 2017-05-10 D
ISDR Issuer Direct Corporation Q1 2017 2017-05-06 C
XPO XPO Logistics, Inc. Q1 2017 2017-05-04 B
SRPT Sarepta Therapeutics, Inc. Q1 2017 2017-04-28 D
SAH Sonic Automotive, Inc. Q1 2017 2017-04-26 C
SYK Stryker Corporation Q4 2016 2017-01-24 C+
MCS The Marcus Corporation Q3 2016 2016-10-27 C+
GSK GSK plc Q3 2016 2016-10-26 B
VYGR Voyager Therapeutics, Inc. Q2 2016 2016-08-11 A
SQ Square's Q2 2016 2016-08-04 A
DGII Digi International Inc. Q3 2016 2016-07-28 B
PAR PAR Technology Corporation Q1 2016 2016-05-04 D
PM Philip Morris International Inc. Q1 2016 2016-04-19 B+

How the model reasoned

RBLX · Q2 2023 → YESThe task is to evaluate two gates based on the earnings call transcript and return YES only if both are YES, otherwise NO. YES The transcript shows a clear positive current development in advertising, where management's prepared remarks mention live ads, 200 activations, 19% of top 100 with ad units, and some demand exceeding supply. In the Q&A, they add fresh specifics like pricing strategy (gentle now, floating later), new ad unit types, 12% of top 100 using portals, demand in 17-24 female cohort, self-serve options, and brand volume challenges. These details are operational and additive across multiple exchanges, meeting GATE 1 criteria. For GATE 2, advertising is driven by Roblox's own creation and control: 200 activations, portal ad units, self-serve platform, and rollout execution. It's not reliant on external industry tailwinds but on their platform improvements and brand engagement. This satisfies the primary engine condition.
SG · Q3 2023 → YESThe task is to evaluate two gates based on the Sweetgreen earnings call transcript and return YES only if both gates are YES, otherwise NO. YES The transcript shows a clear positive current development in Infinite Kitchen, with management's Q&A responses adding substantial new operational details—such as first-unit performance, customer experience improvements, margin leverage, AUV targeting, retrofit opportunities, and throughput optimizations—that go beyond the prepared remarks' high-level plans. This satisfies Gate 1 criteria for additive, substantive detail across multiple exchanges. For Gate 2, Infinite Kitchen is a proprietary technology the company developed and controls, with momentum driven by its own execution, customer adoption, and operational refinements rather than external tailwinds, making it the primary engine.
ALKT · Q4 2023 → YESThe task is to evaluate two gates based on the earnings call transcript and return YES only if both are YES, otherwise NO. YES The transcript shows a clear positive current development in the bank's market progress and add-on sales momentum, with Q&A providing substantial new operational details like specific backlog numbers, implementation timelines, product adoption rates, and customer-specific challenges that go beyond the prepared remarks. For GATE 2, the primary engine is Alkami's own platform, cloud-native architecture, and execution on replacements of legacy systems, which would largely continue even if external conditions shifted, as the company is actively winning share through its controlled rollout and product improvements.

More from the question bank

Spending like a bigger company on purposeAnswers go deeper than the scriptPriced for a smaller companyOvertaken by their own successRunning hot in customers' handsOutside actors already movingAll questions →
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.