Christina Castelli, Head of Learning Operations and Measurement of Accenture, makes the case that L&D’s credibility with the business depends on one thing: connecting learning to outcomes before the training ever runs — not after.
Christina shares how she built Accenture’s SKY model, a learning-measurement framework designed to answer real business questions rather than justify program spend. She also explores what it means to use AI as an augmentation tool rather than a replacement, why discernment is the differentiating skill of the AI era, and how L&D professionals can start seeing generative AI as the opportunity to finally deliver the personalized, outcome-connected learning they’ve always wanted to build.
KEY TAKEAWAYS
00:00 Introduction.
01:30 How Christina’s path from consulting to social learning, design, operations and measurement led her to build and lead Accenture’s learning measurement function.
02:45 The tension that pushed Christina into measurement: L&D teams convinced of their own value, but unable to translate it into the language the business actually speaks.
05:04 Accenture’s SKY Model — and why identifying the business outcome has to happen before choosing a single metric, model level or measurement approach.
06:30 Why every section of the model connects back to the business outcome, and why not every program needs to measure every level.
08:13 What operationalizing measurement at scale actually looks like: a beginner guide, default approaches by audience size and an analytics dashboard built with the data team.
10:35 What Christina recommends for L&D professionals who don’t control the measurement standard — and why early stakeholder alignment changes the entire dynamic at the end.
11:15 Why you can’t be held accountable for data that was never available — and how to have that conversation with business partners before a program launches.
12:15 The mindset shift from vanity metrics to actionable insights — and the comment from a business stakeholder that crystallized everything for Christina.
16:36 Final measurement advice: think in a structured way, focus on what would actually answer the question and share what you can — rather than grasping for whatever looks positive.
17:45 “If you ask AI to replace you, it will. If you ask it to augment you, it will.” — what that means for learning developers navigating today’s AI inflection point.
19:25 The learning developer role at the AI crossroads: why handing off your thinking to AI is different from using AI to expand your thinking.
22:08 Why personal human understanding of content is still irreplaceable — and the risk of skipping the ingestion step that gives L&D professionals their real value add.
24:30 Discernment as the differentiating skill of the AI era: why polished output no longer signals quality, and what it takes to tell the difference.
26:45 A practical way into GenAI for L&D professionals: use it as a thought partner first, ask it what to prioritize and block 30 minutes a week as dedicated GenAI play time.
32:28 The mindset shift every learning leader needs right now: seeing AI as the opportunity to finally deliver the personalized, outcome-connected learning we’ve always wanted to build.
If you enjoyed this conversation, please leave a 5-star review and subscribe to “Learning Leader Spotlight: Interviews with Corporate L&D Leaders,” brought to you by TrainingPros — because when you have more projects than people™, the right L&D consultant makes all the difference.
RESOURCES MENTIONED
Accenture website:
https://www.accenture.com
Kirkpatrick Model:
https://www.kirkpatrickpartners.com
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