Training evaluation using the Kirkpatrick model (AI-powered approach)

Most workforce programs collect the right data. They just can't connect it.

Intake rubrics live in email. Weekly check-ins live in Google Forms. Mentor logs live in someone's notes app. Assessment results live in Spreadsheet_v6_FINAL.xlsx.

The result? When your funder asks "who is at risk and which skills have grown the most this cohort?" — you spend three days manually pulling it together.

This masterclass shows you exactly why this happens — and how to build a system that makes it a four-minute answer instead.

In this video, you will learn:

✅ Why Kirkpatrick Level 3 and 4 are hard (it's not the questions — it's the infrastructure)
✅ The hub-and-spoke data architecture that connects every instrument to one persistent participant record
✅ How a real virtual mentorship program built this system using 5 instruments in Sopact
✅ What a complete longitudinal participant record looks like — from intake to 12-month follow-up
✅ How Green/Yellow/Red weekly tracking gives you real-time risk signals by Week 3, not Week 12

The architecture concepts covered — Unique ID, hub and spoke, five instruments — apply to any workforce program: mentorship, fellowships, accelerators, workforce development cohorts.

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0:00 Why your data exists but can't be found
0:14 Meet the program director — the before state
1:03 The brutal truth: this is a system design problem
1:19 The Kirkpatrick Model — four levels explained
1:51 Why programs die at Level 3 and 4
2:31 The solution: hub-and-spoke architecture + Sopact
3:33 Real program walkthrough — 6 mastery skills
3:59 Building the 5 instruments (intake to artifacts)
5:23 The transformation — one dashboard, four minutes
6:06 Data collection as an operating system
6:21 Subscribe + use case page

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🔗 Sopact Use Case Page (full architecture walkthrough):
[INSERT LINK]

🔗 Sopact Platform:
https://sopact.com

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WHO THIS IS FOR
→ Program directors who dread the funder report
→ Evaluation leads who know their data is fragmented
→ Anyone responsible for proving Kirkpatrick Level 3 or 4 outcomes
→ Workforce development teams moving from spreadsheets to a real system

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WHAT IS SOPACT?
Sopact is an AI-native data collection platform built for organizations that need to track participants longitudinally — connecting qualitative and quantitative data, internal and external sources, in one system. Unlike survey tools that collect data and stop there, Sopact collects AND analyzes, with persistent unique IDs that make every record traceable from Day 1 to 12 months post-program.

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#WorkforceDevelopment #ProgramEvaluation #KirkpatrickModel #ImpactMeasurement #DataCollection #Sopact #MentorshipProgram #LongitudinalData #FunderReporting #DataStrategy

This video introduces a groundbreaking hub-and-spoke data solution specifically designed for workforce development programs, addressing common struggles with funder reports. We emphasize the critical importance of organized data collection, showcasing how qualitative analysis can provide deeper insights. By focusing on qualitative data analysis, organizations can create a complete longitudinal record, enhancing program evaluation and reporting.

Видео Training evaluation using the Kirkpatrick model (AI-powered approach) канала SoPact