Q: Why did C12 San Francisco May 28-29, 2026 show a negative confidence delta (-0.09 in apply-AI) — is this content complexity, audience composition, or expectation mismatch? What do the verbatims say about their experience?

C12's -0.09 apply-AI confidence delta is primarily an expectation mismatch and audience composition problem, not content complexity — verbatims point to a technically-skewed programme meeting a mixed-proficiency audience that arrived with unmet expectations.

C12's Day 1 apply-AI confidence was already high at 4.13 (vs. C11's 3.71), meaning participants arrived more confident than other cohorts — making a post-programme drop to 4.04 especially telling. The audience composition shows 28 of 67 Day 1 attendees were at 'Delivering independently' or 'Operating at the frontier' proficiency levels, the highest concentration of advanced participants across all four cohorts. Verbatims from detractors make the dynamic explicit: one KPMG Transformation Lead (Partner-level) wrote 'More technical than business oriented — had a lot of struggles with setting up environment than learning and brainstorming,' while another noted 'the audience level was also not exactly understood for me — there should have been expectation setting.' A third said 'the program needs to be tuned for a narrower audience.' A passive KPMG Architect added that the course is 'an excellent all-round introduction' but suggested 'differentiated tracks' — implying the introductory pitch clashed with a more experienced or more business-oriented segment. The KPMG NPS of +12 (n=17) versus Deloitte's +83 (n=18) in the same cohort further suggests the expectation gap was concentrated in one partner organisation, not uniform across the cohort. Key data points: · C12 D1 apply-AI confidence: 4.13 (highest across C11-C14), dropping to 4.04 at D2 — a delta of -0.09 · C12 had the highest share of advanced practitioners: 28/67 Day 1 attendees at 'Delivering independently' or 'Operating at the frontier' vs. 11/49 in C11 · KPMG NPS in C12: +12 (n=17) vs. Deloitte NPS: +83 (n=18) — detractor verbatims are all KPMG participants · 3 of 4 C12 detractor/passive verbatims explicitly cite expectation mismatch or audience calibration issues, not content quality · C12 Developer NPS: +44 (n=16) vs. C11 Developer NPS: +78 (n=9) — same persona, same city, same programme, markedly lower satisfaction Caveats: Matched sample for confidence deltas is n=39, which is adequate but not large; the KPMG-specific pattern (n=17) is suggestive but should be validated with KPMG account-level follow-up. No verbatims are available from Day 1 to confirm what expectations participants held on arrival.

2026-06-22 15:27 UTC

Q: What do promoters (NPS 9–10) and passives (NPS 7–8) say about the C11–C14 programme, and what specifically separates them? This is the highest-signal analysis for converting passives to promoters.

Promoters cite interactivity, hands-on challenge, and instructor quality; passives consistently signal the programme is pitched too broadly and moves too slowly for their experience level.

Across all four cohorts, promoter verbatims cluster around three themes: interactive/hands-on format ('Interactive and fun', 'Informative, educational and hands-on', 'Evals, able to exchange ideas'), strong instructors ('Really engaging, great instructors', 'The instructors are amazing'), and a sense of perspective shift or genuine challenge ('great content and challenges', 'My perspective towards AI has changed'). Passives, by contrast, repeatedly surface a pacing and differentiation problem: the programme is experienced as too introductory or too broad for their level. Specific passive quotes include 'Varies in colleague experience and focus' (C11, NPS 7), 'the only thing that'd give them a reason to attend would be if you offered differentiated tracks' (C12, NPS 8), 'Really good course think is a bit slow for people who have been using Claude a lot' (C14, NPS 8), and 'Program covered a lot of ground in a span of 2 days' (C11, NPS 8). A secondary passive theme is wanting more depth or direct Anthropic access: 'Anthropic wasn't there' (C13, NPS 8) and 'hearing more from Anthropic engineers on how they use Claude would be better' (C12, NPS 7). The critical separating factor is not content quality — passives generally acknowledge the programme is well-constructed — but the absence of audience-calibrated depth or differentiated tracks for more experienced participants. Passives skew toward higher AI proficiency levels (Applying in practice, Operating at the frontier) where the standard pace feels insufficient. Key data points: · Promoter verbatims (n≈12 across C11–C14) consistently reference interactivity, hands-on exercises, and instructor quality as the primary drivers of a 9–10 score · 4 of 9 passive verbatims explicitly cite pacing, level-mismatch, or lack of differentiation as the reason for not scoring 9–10 (C11 NPS 7, C12 NPS 8, C14 NPS 8, C12 NPS 7) · 2 of 9 passive verbatims cite absence of Anthropic presence or insider perspective as a gap (C13 NPS 8, C12 NPS 7), suggesting a distinct secondary conversion lever · C13 has the highest passive rate at 60% (n=15, flag caution: small n) and its passive verbatims mirror the differentiation and Anthropic-access themes seen in larger cohorts · Overall passive rate is 35.5% (n=44 of 124), representing the single largest conversion opportunity for NPS improvement Caveats: Verbatim coverage is partial — not all 44 passives submitted text responses, so these themes are directional rather than statistically representative. Proficiency-level breakdowns per NPS band are not available in the data; linking passive rates directly to AI proficiency tiers would sharpen the conversion strategy considerably.

2026-06-22 15:28 UTC

Q: KPMG was a first-time partner in C11-C14 block. Who did they send (personas, proficiency levels, seniority distribution)? What was their overall NPS (+12 in C12) and how many promoters, passives, detractors did they produce across all four cohorts? What do their NPS reason verbatims reveal about their experience — does it align with the confidence delta issue in C12, and what pattern emerges about KPMG's audience composition vs programme fit?

KPMG sent 17 participants to C12 only, producing NPS +12 — driven by a mismatch between their senior, mixed-proficiency audience and a programme pitched too broadly for those with existing Claude experience.

KPMG appeared only in C12 (San Francisco, May 28-29) with n=17, making this their sole cohort in the C11-C14 block. The data does not provide a full persona/seniority breakdown for all 17 KPMG respondents, but verbatims reveal at least four personas represented: Transformation Lead (detractors and one promoter), Architect (passive), and Developer (passive), spanning seniority from Practitioner (0-4 years) through Partner/Managing Director/Executive level — a notably wide range. AI proficiency was also mixed: at least one 'Operating at the frontier' Developer, 'Applying in practice' Transformation Leads, and a 'Delivering independently' Transformation Lead promoter. With NPS +12 (versus Deloitte's +83 in the same cohort), KPMG was the clear drag on C12's overall score. The confidence delta issue in C12 (apply-AI dropped from 4.13 to 4.04, the only negative delta across all cohorts) is directly echoed in KPMG verbatims: detractors cite 'more technical than business oriented,' 'struggles with setting up environment,' and the programme feeling like 'copy and pasting code' — all consistent with participants whose confidence was unsettled rather than built. The passive KPMG Architect articulates the fit problem precisely: the programme is 'an excellent all-round introduction' but needs 'differentiated tracks' for those who could already summarise the content to others. The pattern is a cohort sent with heterogeneous seniority and proficiency — some well above programme pitch, some below — with no track differentiation to accommodate either end. Key data points: · KPMG NPS in C12: +12 (n=17), versus Deloitte +83 (n=18) in the same cohort · C12 is the only cohort with a negative confidence delta: apply-AI D1=4.13 → D2=4.04 (-0.09) · KPMG detractors (scores 4 and 5) were Transformation Leads at Partner/Executive and Practitioner seniority levels — citing technical overload and lack of audience expectation-setting · KPMG passives included an 'Operating at the frontier' Developer and an 'Applying in practice' Architect — both signalling the programme was below their level · KPMG promoter was a 'Delivering independently' Transformation Lead (Director level) who rated it 10 — suggesting the programme does land for mid-senior practitioners with delivery experience Caveats: KPMG data is C12-only (n=17); no KPMG respondents appear in C11, C13, or C14, so cross-cohort KPMG trends cannot be assessed. Full persona and seniority counts for all 17 KPMG respondents are not available in the brief — verbatims cover only the matched subset, so the promoter/passive/detractor split by category cannot be precisely enumerated beyond what verbatims reveal.

2026-06-22 15:32 UTC

Q: Transformation Leads across C6-C16 show the highest confidence growth (+0.38Δ), but their verbatims reveal a critical gap: promoters praise technical/hands-on content while detractors explicitly ask for commercial/business focus ('more technical than business oriented', 'from a business perspective I would like solution design insights'). What are Transformation Leads actually asking for? What's the gap between current technical curriculum and their strategic/commercial needs? What would a tailored Transformation Lead enablement pathway look like (vs the current single-track model)?

Transformation Leads in C11-C14 data show a split between technical content praise and a clear pull toward commercial applicability, but the verbatim evidence is thin (n=46 total TLs across 4 cohorts, with only ~6 attributed TL verbatims).

Across C11-C14, there are 46 identified Transformation Leads (C11: n=22, C12: n=15, C13: n=4, C14: n=5). NPS varies significantly by cohort: +73 in C11, +40 in C12, 0 in C13, +40 in C14. The detractor verbatims from C12 TLs are the clearest signal: a Partner/MD-level KPMG TL explicitly states 'more technical than business oriented' and struggled with environment setup over learning; a Director-level KPMG TL says the program needs a 'narrower audience'; a Deloitte Manager TL says 'I am expecting to be guided to build an agent' — suggesting misaligned expectations rather than pure curriculum failure. On the promoter side, the sole attributed TL promoter verbatim (C12, KPMG Director) praises 'informative, educational and hands-on' content, while C13 TL passives ask to 'enable someone non technical to use Claude' and note having 'more questions than when I came.' A C14 TL passive (Deloitte Director, frontier-level) says the course is 'a bit slow for people who have been using Claude a lot.' This data supports directional framing only — the n is too small and verbatim attribution too sparse to design a curriculum from this evidence alone. The question references C6-C16 confidence delta data (+0.38Δ for TLs) which is not present in this C11-C14 brief, so that finding cannot be validated here. Key data points: · 46 Transformation Leads across C11-C14, NPS ranging from 0 (C13, n=4) to +73 (C11, n=22) · 3 of 4 attributed TL detractor/passive verbatims in C12 explicitly signal commercial/business gap: 'more technical than business oriented', 'needs narrower audience', misaligned agent-building expectation · C13 TL passive verbatim: 'Enable someone non technical to use Claude' — points to accessibility gap, not just strategic framing gap; C14 TL passive (frontier-level) flags pace is 'too slow' Caveats: The C6-C16 confidence delta (+0.38Δ for TLs) referenced in the question is not present in this C11-C14 data brief and cannot be corroborated here. With only ~6 attributed TL verbatims across 4 cohorts and C13/C14 TL sub-groups at n=4 and n=5 respectively, designing a differentiated pathway from this data alone would be premature — a dedicated TL exit survey or post-programme interview set (target n=30+) would be needed to specify commercial content gaps with confidence.

2026-06-22 15:56 UTC