Which models know sales?
Eighteen model configurations coach the same 25 synthetic sales calls. Each call has hidden ground truth. A judge scores every coaching note from 0–100 on whether it found the real strengths, flaws, and next moves.
- Calls
- 25
- Models
- 18
- Evaluations
- 450
- Mean
- 89.8
The 25 calls
Open a call to read its answer key and how every model did on it.
- CollibraBerkshire HathawayBerkshire Hathaway Data governance discovery across decentralized business units with CollibraEasiestDiscoveryflawed95.4
- StripePavePave Pricing and packaging objection call with StripeCompetitive displacementflawed94.3
- VercelMercuryMercury First discovery for frontend platform consolidation with VercelDiscoveryflawed94.1
- AtlassianDelta Air LinesDelta Air Lines Enterprise discovery for service management modernization with AtlassianDiscoveryflawed94.0
- MongoDBWayfairWayfair Integration deep dive for catalog modernization with MongoDBProduct demoexcellent93.7
- TwilioThe Home DepotThe Home Depot Renewal save call after usage and support concerns with TwilioRenewal saveflawed93.7
- Palo Alto NetworksAppleApple Technical security review for zero trust architecture with Palo Alto NetworksProduct demoexcellent93.2
- AmplitudeDuolingoDuolingo Renewal QBR and expansion planning with AmplitudeQBRexcellent92.4
- OpenAICVS HealthCVS Health AI contact-center transformation discovery with OpenAIDiscoveryexcellent92.0
- GitHubRipplingRippling Product-led expansion discovery for developer workflow with GitHubDiscoveryexcellent91.8
- WorkdayMcKessonMcKesson HR transformation qualification and stakeholder mapping with WorkdayDiscoveryflawed91.1
- AnthropicExxonMobilExxonMobil AI governance and safety review for energy operations with AnthropicProduct demomixed90.9
- CrowdStrikeTargetTarget Security architecture review for endpoint consolidation with CrowdStrikeProduct demoexcellent90.8
- DatadogLinearLinear Technical demo for observability and incident response with DatadogProduct demoexcellent90.4
- ElasticJPMorgan ChaseJPMorgan Chase Technical workshop for search and observability consolidation with ElasticProduct demoexcellent90.4
- NVIDIAWalmartWalmart Executive discovery for AI infrastructure and store operations with NVIDIADiscoveryexcellent89.3
- HashiCorpAmazonAmazon Cloud operating model discussion for internal platform teams with HashiCorpDiscoveryflawed89.1
- ServiceNowFord Motor CompanyFord Motor Company Procurement negotiation for workflow automation with ServiceNowCompetitive displacementmixed88.6
- SnowflakeToastToast Data platform proof-of-concept kickoff with SnowflakeProduct demoflawed87.0
- CloudflareCanvaCanva Competitive displacement discovery for edge security with CloudflareCompetitive displacementflawed85.8
- FigmaThe Walt Disney CompanyThe Walt Disney Company Design collaboration demo with brand and asset workflow discussion with FigmaProduct demomixed85.8
- OktaSweetgreenSweetgreen Executive alignment for identity modernization with OktaQBRmixed85.2
- SalesforceUnitedHealth GroupUnitedHealth Group Healthcare CRM expansion objection handling with SalesforceRenewal savemixed84.9
- SnykRunwayRunway Security review before developer-tool rollout with SnykProduct demomixed82.5
- MicrosoftCostco WholesaleCostco Wholesale Proof-of-concept readout for analytics and productivity workflow with MicrosoftHardestProduct demomixed79.7
The Walt Disney Company Design collaboration demo with brand and asset workflow discussion with Figma
The call should feel commercially promising: the seller delivers a visually engaging, Disney-relevant Figma demo around creative collaboration, brand libraries, reviews, and asset workflow visibility. However, the seller does not dig deeply enough into Disney’s governance model, approval ownership, sensitive IP boundaries, or external agency handoff. A strong evaluator should credit the tailored narrative and collaborative demo while noticing that several enterprise-critical risks remain under-discovered and only lightly addressed.
- Profile
- Mixed
- Flaws / Strengths
- 3 / 3
- Duration
- 49m · 38 turns
What this call should surface
Disney-specific creative workflow framing without overclaiming
Research · moderate
Engaging end-to-end demo narrative for creative asset collaboration
Communication Style · obvious
Connects design collaboration to brand consistency and rework reduction
Value Alignment · moderate
Thin discovery into governance and approval ownership
Discovery · subtle
Glosses over external agency handoff and sensitive IP access controls
Technical Knowledge · moderate
Does not identify the governance/security stakeholders needed for an enterprise path
Qualification · subtle
Transcript
The exact speaker-labeled transcript the coach models saw.
- MC
Maya Chen
Seller
Hi everyone, thanks for making the time. I’m Maya Chen, I lead some of our enterprise conversations at Figma, and Leo is with me to drive the workflow demo in a bit. Our goal today is pretty simple: pressure-test whether Figma could help Disney teams collaborate around creative, brand, and product work with a little more speed and a little less rework. We’ve got a light agenda: first, I’d love to hear how you’re thinking about campaign and asset collaboration today; then Leo will walk through a fictional entertainment-style workflow from early concepting into design review and handoff; and we’ll save time at the end for fit, questions, and next steps. Sound okay?
- DR
Danielle Roberts
Buyer
Yes, that works. I’m Danielle Roberts, I’m in brand creative operations, so I’m mostly looking at how our campaign teams, franchise stakeholders, and agencies stay aligned without creating five different versions of the truth.
- MW
Marcus Williams
Buyer
Hi, I’m Marcus Williams. I lead design systems for a few of our digital product groups, so I’m listening for how libraries, approvals, and handoff could work at scale—not just in a clean demo file.
- MC
Maya Chen
Seller
Great, thank you both. And Marcus, that caveat is exactly fair—we definitely don’t want to show a perfect toy example and pretend that’s the operating model. The hypothesis we came in with, and tell me if this is off, is that Disney has this unusual mix of franchise-level brand sensitivity, high campaign volume, digital product surfaces, localization, and outside partners all moving at once. So before Leo jumps in, Danielle, maybe starting with you: where does collaboration get most painful today—early concepting, brand review, version control, agency feedback, somewhere else?
- DR
Danielle Roberts
Buyer
Yeah—version control and approvals are probably the two biggest pain points for us.
- MC
Maya Chen
Seller
Totally. And those two usually feed each other, right—someone comments on an older comp, or a stakeholder is reviewing a deck export instead of the source file. When you say approvals, is that mostly brand and franchise review, or are legal and regional teams in that loop too? Just enough context so Leo can anchor the demo in the right place.
- DR
Danielle Roberts
Buyer
Mostly brand and franchise, with legal coming in depending on the asset or the market. In practice it gets messy when a campaign is moving quickly and we’ve got a hero treatment, social cutdowns, landing pages, maybe localization, and an agency is still iterating in parallel. Someone will pull an older logo lockup or comment on a PDF from two days ago, and then we’re reconciling feedback instead of moving forward.
- MC
Maya Chen
Seller
That’s really helpful—and the PDF comment spiral is exactly the kind of thing we’ll anchor on. Leo, maybe let’s show that flow.
- LM
Leo Martinez
Seller
Perfect. I’ll share my screen—one second. Okay, so what you’re seeing is a fictional campaign workspace, not Disney IP, but modeled around the kind of launch Danielle described: hero creative, social variants, a landing page, and a few regional adaptations. I’m starting in FigJam because this is usually where the brief and messy inputs live. Here’s the campaign objective, audience notes, references, and a little approval lane on the right. The important thing is everyone is reacting to the same board instead of screenshots in three threads. From here I’ll jump into the actual Figma file where those ideas become approved reusable pieces.
- DR
Danielle Roberts
Buyer
Yep, this is pretty familiar. The messy brief-plus-feedback stage is usually where the drift starts for us.
- LM
Leo Martinez
Seller
Exactly. So I’m going to click through into the Figma file now. Here’s the same campaign translated into a landing page concept and a set of social templates. On the left, this is pulling from an approved brand library—logo lockups, type styles, color variables, even recurring modules—so the designer isn’t hunting through old folders or rebuilding from last quarter’s deck.
- MW
Marcus Williams
Buyer
Quick question on that—when you say approved brand library, is that treated as the source of truth? Or is Figma mirroring assets that are formally approved somewhere else?
- LM
Leo Martinez
Seller
Yeah, great question. It can be either, and in large orgs it’s often a bit of both. Figma can act as the working source of truth for the design components and templates—the things teams are actually assembling with—while approved final assets may still originate in a DAM or brand portal. So in this demo, think of this library as the curated layer: brand team publishes the approved lockups, type, colors, page modules, and campaign templates, and downstream teams consume them. If that lockup changes, the update flows through and designers get prompted to accept the latest version instead of copying some old artboard. That’s where you reduce a lot of the rework and the “which version is current?” debate.
- MW
Marcus Williams
Buyer
Got it. The update prompt is useful. The piece I’d want to understand later is who gets publishing rights to that library, because that can get political fast.
- LM
Leo Martinez
Seller
Totally. That’s usually where we’d define a smaller publisher group versus broader consumers. For now I’ll assume brand owns publishing here, and show how review comments and version history keep the rest of the team aligned.
- DR
Danielle Roberts
Buyer
That assumption is close. In practice, brand owns a lot of it, but legal and franchise teams may jump in late, especially for regional versions. That’s where comments get… noisy.
- LM
Leo Martinez
Seller
Yeah, that tracks. And I’ll show the comment layer here because this is where you can separate general reactions from the more formal brand/legal notes, at least in the working file.
- DR
Danielle Roberts
Buyer
Right. The distinction matters for us—some comments are just creative preference, and some are effectively “do not ship until this is cleared.”
- LM
Leo Martinez
Seller
Yep, exactly—and I’d make that distinction pretty explicit. In Figma, the comment thread becomes the shared evidence trail: here’s the legal note, here’s the franchise note, here’s what changed. I’m not saying this replaces your formal approval policy, but it keeps the working team from losing those blockers in email or side decks.
- DR
Danielle Roberts
Buyer
Makes sense. One related thing—our agencies are often in the work pretty early, but we can’t have them seeing adjacent unreleased franchise material. How would you typically bring an agency into just the pieces they need?
- LM
Leo Martinez
Seller
Yeah, so typically we’d keep that scoped at the file or project level rather than opening up the whole workspace. You can invite an agency into a specific campaign file, give them view, comment, or edit access depending on their role, and keep the broader brand libraries and adjacent work separate. In this example, the agency would see the brief, the frames they’re contributing to, and the comment threads they need, but not the other franchise explorations sitting elsewhere. And then if they’re just reviewing or handing off comps, they don’t need full edit rights. It’s meant to let them collaborate in context without turning the whole environment into a shared drive.
- DR
Danielle Roberts
Buyer
Okay, directionally that helps. The revocation and “what exactly can they export” pieces are where our teams will probably get nervous.
- LM
Leo Martinez
Seller
Yeah, completely fair. That’s usually where we’d pair the project-level permissions with admin controls around who can access and collaborate, and then make sure agencies are only in the specific files they need for that engagement. Export behavior is definitely something we’d want to validate against your policy, but the core pattern is: don’t expose the whole workspace, keep partner work bounded, and remove access when the project wraps.
- MW
Marcus Williams
Buyer
Yeah, and adjacent to that, on the internal side—how do you keep an approved brand library from becoming just another place people fork components and drift? Is there a concept of ownership or publishing rights there?
- LM
Leo Martinez
Seller
Yeah—there is. The way I’d think about it is the library has a smaller set of owners who can publish changes, and then consuming teams pull from that approved library rather than making their own local version every time. So here, if the Marvel campaign team needs a card pattern or logo lockup, they’re using the published component, and if someone proposes a change, that can go through a branch or review before it becomes available broadly. It doesn’t magically solve the operating model, obviously, but it gives you a cleaner source of truth and a visible history of what changed, who published it, and when.
- MW
Marcus Williams
Buyer
Okay. The history helps. The operating model is usually where these things live or die for us.
- MC
Maya Chen
Seller
That’s a really good point, Marcus. Maybe the right next step isn’t another generic demo—it’s picking one real workflow, like a campaign launch or a product surface, and mapping where Figma would fit versus where your existing approval process stays the system of record.
- MW
Marcus Williams
Buyer
Yeah, that’s probably the right shape. I’d just want to be careful that we don’t only map the happy path with designers. For anything beyond a small pilot, brand governance and probably security will have opinions on access and external collaborators.
- MC
Maya Chen
Seller
Absolutely. Let’s not make it designer-only. I’d suggest we anchor on one workflow and include whoever from brand governance or security you think needs to sanity-check the access model. We can send over a proposed agenda after this.
- DR
Danielle Roberts
Buyer
That works for me. I’d probably nominate a campaign workflow with localization and an agency in the loop, because that’s where the comment threads and outdated assets get ugly fastest.
- MC
Maya Chen
Seller
Perfect, that’s a great use case. We can make it concrete around a campaign brief, agency input, localization review, and the approved asset library. Leo and I will send a straw-man agenda and a couple of time options, and you can tell us who should be in the room.
- DR
Danielle Roberts
Buyer
Yep, I can take first pass on that. Marcus, maybe you and I can compare notes offline and not make this a cast of thousands.
- MW
Marcus Williams
Buyer
Yeah, that’s fine. I’ll flag one or two people who can pressure-test the access model without turning it into a committee meeting.
- MC
Maya Chen
Seller
Great. Thank you both. We’ll keep it focused on that campaign-plus-localization flow, and we’ll make sure the agenda calls out the agency access piece so the right people can react to it. I’ll send that over today.
- LM
Leo Martinez
Seller
And I’ll package the demo file references so the follow-up isn’t abstract—you’ll be able to see the exact moments where comments, libraries, and handoff come into play.
- DR
Danielle Roberts
Buyer
Great, that’ll help. Thanks, both — this was a useful first pass. We’ll look for the email and coordinate on our side.
- MC
Maya Chen
Seller
Sounds good. Thanks, Danielle, thanks Marcus — appreciate the time today. We’ll follow up this afternoon and go from there.
- MW
Marcus Williams
Buyer
Thanks all. Talk soon.
How each model scored this call
Click a row to read the model's coaching note and the judge's read on it.
194gpt-5.4 xhighBestExcellent coaching output; highly aligned with the hidden ground truth.
The coach correctly treated the call as mixed-positive: strong Disney-relevant framing, an engaging workflow demo, and credible value alignment, but with important gaps around governance discovery, agency/IP controls, and enterprise buying-path qualification. The output is well grounded in transcript evidence and gives actionable coaching. Minor caveat: it slightly over-praises the next step as “concrete” and “cross-functional” even though stakeholder ownership and decision path remained under-qualified, but the coach also explicitly flags that gap.
- Accurately identified the Disney-specific hypothesis and humility as a major strength.
- Correctly praised the demo as a connected creative workflow rather than a generic feature tour.
- Strongly captured the core hidden weakness: governance, approval ownership, and agency/IP access controls were acknowledged but not deeply discovered.
- Correctly warned not to let a positive demo substitute for enterprise qualification and buying-map development.
- Provided highly actionable follow-up questions around source of truth, publishing rights, export/revocation, audit requirements, approval taxonomy, and required stakeholders.
- No major hidden-ground-truth miss. The coach covered all six needles substantively.
- The only notable weakness is tonal: the coach slightly over-rewarded the close as a concrete cross-functional next step, while the hidden benchmark emphasizes that stakeholder qualification remained thin.
291gpt-5.4 noneStrong evaluation with one notable over-credit on enterprise advancement
The coach output is highly aligned with the hidden ground truth. It correctly treats the call as mixed: commercially promising, well tailored, and demo-effective, but still under-qualified on governance, approvals, agency access, export controls, and current-state workflow. The main weakness is that the coach slightly overstates the quality of the next step and the degree to which governance/security stakeholders were actually secured. It recommends stronger next-step framing, but does not fully surface the hidden F3 issue: the seller did not clearly map the enterprise decision path or required stakeholder set.
- Correctly recognized the seller’s Disney-specific opening hypothesis as a major strength, including the humble validation posture.
- Accurately credited the end-to-end creative workflow demo instead of reducing the call to isolated Figma features.
- Clearly identified the main discovery gap: the sellers moved into solutioning before mapping approval ownership, systems, and current-state process.
- Very strong diagnosis of the agency/sensitive-IP risk, especially around revocation and export controls.
- Provided actionable coaching with specific follow-up questions and drills tied to governance, workflow discovery, and business-case linkage.
- Underweighted the enterprise qualification flaw: the seller did not really map the buying committee, governance/security ownership, evaluation criteria, or approval path.
- Overstated the strength of the close by implying governance/security voices were secured, when the transcript only shows a loose intent to involve people who can pressure-test access.
- Could have more explicitly warned that buyer enthusiasm about the demo should not be confused with enterprise readiness or deal progression.
391gpt-5.4 highStrong alignment with minor over-credit on next-step/stakeholder qualification
The coach output is highly consistent with the hidden ground truth. It correctly treats the call as commercially promising rather than a failure, gives strong credit for Disney-specific framing, workflow-based demo storytelling, and value alignment around version control, brand libraries, and rework reduction. It also identifies the main weaknesses: discovery stayed too shallow, governance and approval ownership were not fully mapped, and agency access/export/revocation concerns were acknowledged more than qualified. The main gap is that the coach slightly over-praises the next-step and stakeholder handling; it does not make the enterprise buying-committee/security/governance path flaw as explicit as the benchmark would prefer.
- Accurately praised Maya’s Disney-specific hypothesis as prepared, relevant, and appropriately humble.
- Correctly recognized Leo’s demo as an end-to-end creative workflow rather than a generic feature tour.
- Well-grounded critique that governance, approval ownership, current systems, and operating model were not deeply discovered.
- Strong identification of agency-access risk around unreleased IP, export behavior, revocation, and policy validation.
- Very actionable coaching plan and follow-up questions tailored to the actual gaps in the call.
- The coach did not isolate the enterprise buying-committee/governance-security stakeholder path flaw as clearly as the benchmark expects.
- It slightly underweighted the centrality of external agency/IP access controls by calling the risk medium in one section, though it later made governance/security a high-priority coaching area.
- It praised the next step somewhat more than warranted; the follow-up was sensible but not a fully mutualized enterprise evaluation plan.
490gpt-5.4 lowstrong pass
The coach output aligns very well with the hidden ground truth. It correctly treats the call as commercially promising while still surfacing the key enterprise risks: governance discovery, approval ownership, agency access/export controls, and stakeholder/decision-process mapping. The strongest aspect is that the coach did not get fooled by buyer enthusiasm; it praised the tailored Disney-relevant demo but still recommended deeper workflow, security, and governance qualification. Minor calibration issue: the coach slightly over-rewarded objection handling and next-step control given that the agency/IP and buying-committee issues remained only lightly qualified.
- Correctly praised the seller’s Disney-specific hypothesis while noting the seller invited buyer validation instead of overclaiming.
- Accurately identified the main demo strength: an end-to-end creative workflow spanning FigJam, Figma, brand libraries, comments, and handoff.
- Strongly captured the hidden central risk around agency access, revocation, export behavior, and sensitive IP controls.
- Flagged thin current-state discovery around systems of record, approval stages, and formal approval requirements.
- Provided practical follow-up questions and a prioritized coaching plan that would improve the next meeting.
- The coach’s numerical ratings were slightly too generous for objection handling and close quality given the unresolved enterprise governance and stakeholder gaps.
- The stakeholder-mapping flaw could have been framed as a higher-severity enterprise deal risk, not just a medium risk.
- The coach could have more explicitly tied library publishing rights and component reuse governance to the approval-ownership flaw, though it did cover the broader issue.
590gpt-5.5 xhighStrong judgeable coaching output with minor over-credit on enterprise governance maturity.
The coach captured the mixed nature of the call very well: strong Disney-specific framing, a coherent Figma workflow demo, and meaningful value alignment around version control, brand libraries, comments, and rework reduction. It also identified the main weaknesses: shallow discovery, underdeveloped governance/approval ownership, export/revocation/security concerns for agencies, lack of quantified impact, and a loose next step. The main limitation is that the coach sometimes scored the sellers a bit too generously on governance, permissions, and close quality, given the hidden benchmark’s emphasis that these enterprise-critical issues remained only lightly discovered.
- Accurately praised the hypothesis-led, Disney-specific opening without overclaiming internal knowledge.
- Correctly identified the demo as a coherent entertainment campaign workflow rather than a disconnected Figma feature tour.
- Credited the value alignment around approved libraries, fewer outdated assets, clearer comment trails, and reduced rework.
- Identified shallow discovery as the main improvement area, especially around current systems, approval ownership, governance, and business impact.
- Caught the agency access risk around export behavior, revocation, sensitive IP boundaries, and the need for security/admin validation.
- Provided highly actionable follow-up questions and a prioritized coaching plan.
- The coach slightly over-scored governance and permission handling despite the benchmark’s view that these were only lightly addressed.
- The external agency and sensitive IP issue was identified well, but not quite elevated as the central enterprise risk for a Disney-scale opportunity.
- The close was treated as relatively strong even though the sellers did not map buying committee, decision path, timeline, evaluation criteria, or named required stakeholders.
689gpt-5.4 mediumstrong
The coach output is well aligned with the hidden ground truth. It correctly treats the call as mixed-positive: strong Disney-relevant framing, a coherent creative workflow demo, and credible value around rework/version control, while identifying that governance, agency access, source-of-truth boundaries, approval ownership, and current-state workflow discovery were not deep enough. The main weakness is that it somewhat over-credits stakeholder progression and next-step quality; the transcript includes a useful mention of brand governance/security, but the seller still did not clearly map the buying committee, security/legal/procurement path, evaluation criteria, or enterprise decision process.
- Correctly praised the seller’s Disney-specific but humble hypothesis around franchise sensitivity, localization, product surfaces, campaigns, and outside partners.
- Accurately identified the demo as an end-to-end creative collaboration workflow rather than a disconnected Figma feature tour.
- Strongly captured the central governance/agency-access risk, especially around export controls, revocation, external collaborators, and sensitive IP boundaries.
- Grounded most findings in specific transcript moments, including Danielle’s version-control/approval pain, Marcus’s operating-model concern, and Danielle’s export/revocation concern.
- Provided actionable coaching plans and follow-up questions that would improve the next meeting materially.
- The coach underweighted the enterprise qualification flaw: the seller’s next step was useful but still did not map the buying committee, approval path, evaluation criteria, timeline, or success criteria.
- It somewhat over-praised stakeholder management because brand governance/security were mentioned, even though the seller did not deeply qualify who from those functions must participate or what they need to approve.
- It introduced business-case quantification as a notable gap, which is reasonable coaching, but it was not as central in the hidden benchmark as governance, external access, and enterprise stakeholder qualification.
789gpt-5.5 highStrong pass
The coach output closely matches the hidden benchmark. It credits the seller’s Disney-specific framing, coherent creative workflow demo, and value linkage to brand consistency/rework reduction, while also surfacing the main enterprise risks around governance, agency access, export/revocation, library ownership, current-state process, and decision path. The main weakness is calibration: the coach somewhat over-rewards the close and governance handling, and prioritizes pain quantification slightly ahead of the benchmark’s central hidden risk around agency/IP controls and enterprise stakeholder qualification.
- Correctly praised the account-specific Disney/media workflow hypothesis and the seller’s careful, non-overclaiming framing.
- Accurately identified the demo as a coherent end-to-end creative collaboration story rather than a disconnected feature tour.
- Strongly captured the agency access/export/revocation issue as a buying-critical governance risk.
- Surfaced library publishing rights and operating-model politics as an important unresolved concern.
- Provided highly actionable follow-up questions and a governance validation plan tied to the transcript.
- The coach somewhat under-emphasized that external agency/IP access control is the central hidden enterprise risk, placing quantified business impact as the first coaching priority.
- The coach over-rated the close despite limited qualification of stakeholders, buying process, timeline, and success criteria.
- The coach could have more explicitly framed the call as commercially promising but still under-qualified for Disney-scale enterprise governance.
889opus 4.7 maxStrong coach output with minor over-crediting of the close
The coach captured the mixed nature of the call well: strong Disney-specific framing, a relevant end-to-end Figma demo, and credible value alignment, balanced against insufficient depth on governance, agency/IP controls, stakeholder qualification, and enterprise evaluation path. The output is mostly transcript-grounded and actionable. The main weakness is that it sometimes overstates the quality of the next step and governance stakeholder inclusion, treating a suggested workflow-mapping follow-up as more concrete than it was. It also makes one unsupported claim that SSO/SCIM and audit topics were “named” when they were not.
- Excellent identification of Maya’s Disney-specific, hypothesis-led opening and the seller’s avoidance of overclaiming.
- Strong recognition that the demo was a coherent creative workflow narrative rather than a disconnected feature tour.
- Accurate coaching on underdeveloped governance, legal/localization, DAM/source-of-truth, and approval ownership discovery.
- Very strong handling of the agency/IP access gap, including export, revocation, workspace/project isolation, and need for security validation.
- Actionable recommendations: structured discovery, mutual action plan, quantified value questions, and concrete governance follow-up owners.
- The coach somewhat over-rewarded the close by treating the governance/security follow-up as more established than the transcript supports.
- The coach could have framed F3 more sharply as an enterprise qualification miss, not just a next-step hygiene issue.
- One technical/evidence slip: SSO/SCIM and audit were described as having been named when they were actually absent from the call.
988gpt-5.5 noneStrong coaching output with one notable over-credit on enterprise qualification.
The coach accurately recognized the call as mixed-positive: strong Disney-relevant framing, a coherent creative workflow demo, and credible value around brand consistency/rework reduction, while still identifying weak spots around governance, agency access, export/revocation controls, approval ownership, quantification, and decision process. The main gap is that the coach overstates the quality of the next step and stakeholder coverage, saying the team secured the “right governance/security stakeholders,” when the transcript only shows a loose suggestion to include governance/security and no real qualification of the buying committee, approval path, timeline, or enterprise evaluation criteria.
- Correctly praised the Disney-specific hypothesis and the seller’s non-overclaiming, buyer-validated framing.
- Accurately identified the demo as a connected creative workflow rather than a feature tour, with FigJam, Figma files, libraries, comments, versions, and agency collaboration in context.
- Strongly captured the value link between approved libraries/version control and reduced rework or brand inconsistency.
- Correctly elevated agency access, export behavior, revocation, and sensitive IP boundaries as the top enterprise risk.
- Provided actionable follow-up questions and drills around impact quantification, approval model mapping, governance/security narrative, and mutual action planning.
- The coach should have been more skeptical of the next step. It was useful, but not a true enterprise mutual action plan and did not clearly identify buying committee members or approval path.
- The coach’s high next-step score and phrase “right governance/security stakeholders” slightly contradict the hidden flaw that stakeholder qualification remained thin.
- The coach could have framed governance and approval ownership as a more central qualification risk, not just one of several medium risks, because Disney-scale adoption depends heavily on those decision rights and controls.
1088gpt-5.5 lowStrong evaluation with minor over-crediting of enterprise governance handling
The coach output correctly characterized the call as commercially promising but incomplete. It strongly captured the Disney-specific framing, workflow-based demo, and value story around brand consistency/rework reduction. It also identified the main weaknesses around insufficient quantification, approval ownership, current-state process, agency access/export concerns, and evaluation path. The main gap is prioritization: the hidden ground truth treats governance/security, sensitive IP boundaries, external agency controls, and buying-committee qualification as the central enterprise risks, while the coach somewhat softened these by scoring governance handling highly and making quantification the top coaching priority. Still, the findings are well grounded in the transcript and mostly aligned with the benchmark.
- Accurately praised the opening Disney-specific hypothesis as prepared, relevant, and humble rather than overclaiming insider knowledge.
- Correctly identified the demo as a coherent entertainment campaign workflow rather than a disconnected Figma feature tour.
- Strongly grounded value articulation in transcript evidence around outdated assets, PDF comments, approved libraries, source of truth, and rework reduction.
- Captured the approval/governance discovery gap with concrete recommended questions about who can approve, where approval status lives, and how systems interoperate.
- Identified the agency access/export/revocation concern and converted it into an actionable validation-plan recommendation.
- Under-prioritized the central hidden weakness: external agency handoff, sensitive IP boundaries, export controls, and security/governance validation are more deal-critical than the coach’s severity level implies.
- Treated the next step as fairly strong, while the hidden benchmark expects more skepticism because no clear buying committee, evaluation path, success criteria, or enterprise decision process was mapped.
- Put pain quantification as the top coaching priority. That is useful sales coaching, but the benchmark’s highest-risk gap is governed creative operations and stakeholder qualification at Disney scale.
1187gpt-5.5 mediumStrong judgeable coaching output with minor over-crediting. The coach correctly recognized the call as commercially promising but mixed, captured all three major strengths, and surfaced most of the enterprise risks around governance, security, agency access, stakeholder mapping, and source-of-truth operating model. The main weakness is prioritization and tone: it sometimes praises the agency/governance handling as stronger than the transcript supports, and it makes quantification the top coaching priority even though the hidden benchmark’s central risk is governed external collaboration and enterprise evaluation path.
The coach output is well grounded in the transcript and broadly aligned to the hidden ground truth. It accurately praises the Disney-specific hypothesis, the coherent FigJam-to-Figma creative workflow demo, and the connection to version control/rework/brand consistency. It also identifies underdeveloped discovery, unresolved export/revocation questions, source-of-truth ambiguity, and incomplete stakeholder/decision-process mapping. However, the coach somewhat softens the hidden flaws by scoring governance handling and next-step control highly and labeling the agency access response as a positive rather than emphasizing that it remained high-level and under-discovered.
- Correctly identified the Disney-specific, hypothesis-led opening as a major strength and grounded it in exact transcript evidence.
- Accurately praised the demo narrative as an end-to-end creative workflow rather than a generic Figma feature tour.
- Recognized that the call advanced interest but left unresolved issues around stakeholder mapping, security/export controls, source-of-truth architecture, and operating model.
- Provided highly actionable follow-up questions and coaching drills that would improve the next meeting.
- Used transcript evidence well, including Marcus’s “at scale” concern, Danielle’s agency/IP concern, and Maya’s workflow-mapping close.
- The coach softened the central hidden weakness around external agency handoff and sensitive IP controls by framing Leo’s response as a positive rather than a materially incomplete answer.
- The prioritized coaching plan puts pain quantification first, while the benchmark’s highest-risk issue is enterprise governance/security and external collaboration control.
- The coach’s category scores for handling governance concerns and next-step control are a bit high relative to the transcript’s limited discovery and incomplete buying-committee mapping.
- It did not explicitly emphasize that no clear understanding emerged of approval authority: who can create, approve, publish, export, reuse, or audit assets at Disney scale.
1286sonnet 4.6Strong evaluation with one material miss around enterprise stakeholder qualification.
The coach correctly read the call as commercially promising but incomplete. It gave strong credit for the Disney-specific hypothesis, workflow-based demo, brand-library/rework value story, and nuanced source-of-truth answer. It also accurately flagged thin discovery, buyer-pulled governance detail, and unresolved agency access/export/revocation concerns. The main weakness is that the coach overpraised the next step as having the “right stakeholders” and did not sufficiently identify the hidden flaw that the seller still had not mapped the governance/security/legal/IT approval path or buying committee for an enterprise Disney evaluation.
- Correctly praised Maya’s Disney-specific, hypothesis-led opening and the humble “tell me if this is off” framing.
- Correctly identified Leo’s demo as a connected creative workflow story rather than a generic Figma feature tour.
- Accurately flagged that governance depth was largely pulled out by Marcus instead of proactively led by the seller.
- Strongly captured the unresolved agency access, export, revocation, and sensitive-IP concerns raised by Danielle.
- Provided practical next-session coaching around current-state discovery, approval ownership, agency workflow, and business-outcome quantification.
- Underweighted the enterprise qualification flaw: the seller did not meaningfully map who from governance, security, legal, IT, procurement, or agency operations must approve a Disney-scale deployment.
- Overpraised the next step as having the right stakeholders, when the transcript only shows a scoped workflow follow-up and a vague commitment to include one or two access-model reviewers.
- Did not make the absence of evaluation criteria, timeline, business-unit scope, and buying-process qualification as central as the hidden benchmark expects.
- Some technical coaching around export controls and auditability could have been more carefully framed as areas to validate rather than presumed Figma capabilities.
1384opus 4.7 lowGood coach output with one important miss/overstatement
The coach captured the mixed nature of the call well: strong Disney-relevant framing, a coherent creative-workflow demo, and credible value around libraries/comments/rework reduction, while also identifying the central governance and external-agency control gaps. The biggest weakness is that the coach over-praised the close as involving the “right governance stakeholders” when the transcript only shows a loose suggestion to include whoever Disney thinks should sanity-check access; the sellers did not actually map the buying committee, security path, legal/procurement involvement, timeline, or evaluation criteria. Overall, the coaching is well grounded and actionable, but it underweights the enterprise qualification flaw.
- Correctly praised the hypothesis-led, Disney-specific opening that invited correction rather than overclaiming internal knowledge.
- Correctly recognized the demo as a coherent creative operations workflow rather than a generic feature tour.
- Correctly identified the key agency-access gap around export controls, revocation, auditability, and security validation.
- Good transcript grounding with relevant quotes from Danielle, Marcus, Maya, and Leo.
- Actionable coaching plan with practical follow-up questions around DAM, pilot success criteria, agency access, localization, and governance controls.
- Underweighted the enterprise qualification flaw: the sellers did not really map the buying committee or governance/security decision path.
- Overstated the quality of the next step by calling it aligned with the “right stakeholders” despite no named stakeholder map or evaluation process.
- Did not as explicitly connect the governance discovery flaw to approval ownership and decision rights for brand/legal/franchise review, though it did flag adjacent issues.
1483deepseek v4 proStrong, mostly aligned evaluation with one important qualification miss
The coach correctly read the call as commercially promising but incomplete: tailored Disney framing, a coherent Figma workflow demo, and credible value around version control/rework, offset by shallow discovery and lightly handled governance/agency-access risks. The biggest weakness is that the coach over-praised the next steps as excellent enterprise qualification. The transcript supports a useful workflow-mapping follow-up, but not a fully qualified path through Disney’s governance, security, legal/procurement, or buying-committee process.
- Correctly praised Maya’s tailored, hypothesis-led Disney framing and use of humble validation language.
- Correctly recognized the demo as a coherent creative workflow spanning FigJam, Figma files, brand libraries, comments, versioning, and agency collaboration.
- Correctly identified the biggest commercial risk: governance, approval ownership, publishing rights, and operating model were acknowledged but not deeply discovered.
- Correctly caught that agency collaboration and sensitive IP access were handled at a high level, leaving export, revocation, isolation, and policy-fit questions unresolved.
- Provided highly actionable follow-up questions and practice recommendations for the next session.
- Over-praised the close and next steps; the call created a good follow-up but did not fully qualify the enterprise stakeholder path.
- Did not strongly enough call out the absence of explicit legal, IT/security, procurement, brand-governance, and agency-operations mapping.
- Included a few speculative or imprecise claims, especially around DAM attribution and possible export-control demonstration scenarios.
- Some extra critiques, such as component analytics or drift detection, were plausible but less grounded in the hidden benchmark than the core governance/agency-access issues.
1582opus 4.7 highmostly_aligned_with_some_overcredit
The coach output is strong overall: it correctly credits the Disney-specific hypothesis, the end-to-end creative workflow demo, and the seller’s credible handling of comments, libraries, version control, and rework. It also identifies the main enterprise risks around governance, external agency access, export/revocation, and decision-process gaps. The main weakness is that it over-rewards the close as having the “right stakeholders” and a strong enterprise path, when the transcript only gets to generic brand governance/security inclusion and does not deeply qualify ownership, approval gates, buying process, or named decision stakeholders.
- Correctly recognized the hypothesis-led, Disney-relevant opening and the seller’s avoidance of overclaiming internal knowledge.
- Correctly credited the demo as a coherent creative workflow rather than a disconnected Figma feature tour.
- Strongly identified export, revocation, guest access, and agency-boundary concerns as follow-up risks.
- Provided highly actionable coaching: prepare enterprise-controls material, probe current tools/DAM, quantify impact, and map the decision process.
- Over-rewarded the close and treated generic brand governance/security inclusion as more complete than it was.
- Did not prioritize the external agency/sensitive-IP governance gap as strongly as the benchmark expects.
- Did not sharply separate approval ownership/library governance discovery from broader discovery gaps like current tools and quantification.
- Slightly under-credited the seller’s existing value alignment around rework reduction and brand consistency by calling business outcomes mostly implicit.
1679opus 4.7 xhighGood but over-positive on enterprise governance readiness
The coach accurately recognized the call’s major strengths: Disney-specific framing, a coherent creative workflow demo, and value around brand libraries, comments, version control, and rework reduction. It also caught several real weaknesses, especially shallow pre-demo discovery, lack of quantified impact, incomplete decision-process qualification, and the unresolved agency export/revocation concern. The main issue is prioritization: the hidden benchmark treats governance, approval ownership, sensitive IP boundaries, and external agency controls as central risks, while the coach repeatedly scored those areas as relatively strong or only low/medium concerns. The coach’s evidence is mostly transcript-grounded, but it overstates the strength of the next step as if brand governance/security participation and an enterprise path were more firmly established than they were.
- Correctly praised the Disney-specific, hypothesis-based opening that avoided overclaiming.
- Correctly recognized the end-to-end demo narrative: FigJam concepting, Figma campaign assets, libraries, comments, versioning, and permissions.
- Correctly noted that discovery moved into demo quickly after only light probing.
- Correctly flagged lack of quantified business impact and missing evaluation-process/timeline questions.
- Correctly identified that agency export and revocation concerns were acknowledged but not resolved.
- The coach did not prioritize governance and approval ownership as strongly as the benchmark requires.
- It over-credited the sellers’ answers to library ownership, agency access, and operating-model questions as strong rather than only directionally adequate.
- It treated the next step as more enterprise-ready than it was; no named buying committee, success criteria, timeline, or approval path emerged.
- It should have coached more explicitly on mapping who can create, approve, publish, export, reuse, audit, and revoke access to brand assets and sensitive franchise work.
1777opus 4.7 mediumgood_with_material_blind_spot
The coach correctly recognized the call as commercially promising and captured the main strengths: Disney-specific hypothesis framing, a coherent creative workflow demo, and value around reducing outdated assets/rework. It also caught several general gaps around short discovery, lack of timeline/commercial qualification, DAM/current tools, and stakeholder mapping. However, it materially over-credited the seller’s handling of Disney-scale governance and external agency/IP controls. The hidden benchmark’s central weakness is that agency access, export controls, approval ownership, and enterprise governance were only lightly addressed; the coach sometimes framed those areas as strong or well-scoped rather than as key unresolved risks.
- Correctly praised the Disney-specific, hypothesis-led opener and the seller’s humility in inviting correction.
- Correctly recognized the demo was buyer-relevant and anchored to Danielle’s stated pain around PDF comments, outdated assets, campaign variants, and localization.
- Correctly flagged that discovery was too short before the demo and missed current tooling, DAM, success metrics, volume, and timeline.
- Correctly identified a lack of commercial/process qualification and recommended asking about evaluation path, decision-makers, and procurement/timeline.
- Correctly noticed Marcus’s cue that security and governance stakeholders need to be engaged, even though the coach underweighted its severity.
- The coach undercalled the central hidden weakness: external agency handoff and sensitive IP controls were only lightly handled, not strongly resolved.
- It over-praised the next step as having the right governance stakeholders when the seller had not actually mapped or named the enterprise buying committee.
- It did not sufficiently emphasize approval ownership and governance decision rights—who can publish, approve, export, reuse, and audit assets—as a core Disney-scale risk.
- It treated security/IT stakeholder mapping as a low-severity missed opportunity, whereas the benchmark views governance/security qualification as central to an enterprise path.
- It let the positive demo momentum inflate scores for objection handling and governance depth.
1867gemini 3.1 pro previewWorstMixed evaluation: the coach accurately recognized the strong tailored demo and some access/export risk, but materially overpraised the enterprise governance qualification and next-step discipline.
The coach did well on the visible positives: Disney-specific hypothesis framing, a coherent FigJam-to-Figma campaign workflow, and value tied to reducing rework and version confusion. It also partially caught the export/revocation concern. However, the hidden benchmark’s central critique is that the sellers did not deeply qualify governance ownership, approval authority, agency/IP boundaries, or the enterprise buying path. The coach underweighted those issues, called them minor, and in places contradicted the transcript by saying the team handled governance and next steps exceptionally well. Overall, this is a useful but overly generous coaching read.
- Correctly highlighted Maya’s Disney-specific hypothesis framing and humble validation language.
- Correctly praised the end-to-end creative workflow demo from FigJam into Figma libraries, comments, and handoff.
- Correctly connected the demo to Danielle’s “PDF comment spiral” and outdated-asset pain.
- Correctly noticed Danielle’s concern about revocation and export behavior and proposed a useful clarifying question.
- Failed to clearly identify thin discovery into governance, approval ownership, library publishing rights, and decision authority.
- Underweighted the external agency/sensitive IP issue; it caught export anxiety but not the broader enterprise access-control and auditability problem.
- Overpraised the close and next steps despite the lack of buying-committee mapping, evaluation criteria, timeline, or named governance/security stakeholders.
- Prioritized quantifying the PDF pain over the more strategically important enterprise governance and stakeholder qualification gaps.