hebel. today · 13 November 202649 / 80
Career · Career Transitions
Test your next professional identity through small-scale experiments
Herminia Ibarra, a professor who studied career changers, found that the common advice to plan a new identity before acting keeps people stuck. Instead, she advocates for a "test and learn" method where individuals…
From 4 newsletters · 1 min read · one thing to try
Herminia Ibarra, a professor who studied career changers, found that the common advice to plan a new identity before acting keeps people stuck. Instead, she advocates for a "test and learn" method where individuals run small-scale experiments like side projects or short stints to gather real data about potential futures (Human Signal Lab). This approach treats early failures as essential parts of the "road of trials" that clarify what work actually fits, rather than as indicators of personal inadequacy (Human Signal Lab).
Testing requires moving beyond abstract research to place yourself inside a possible future for a few hours. For instance, a prospective AI workflow specialist can build a practice workflow using fictional information to collect inquiries and summarize them with AI, then record a short walkthrough explaining the process (WFH Job Drop). This practical demonstration allows candidates to evaluate their interest and aptitude before committing to a full pivot, shortening the time spent guessing about career suitability.
Transitioning professionals often lose their familiar language for who they are when employment ends, but they can regain visibility by sharing practical lessons or contributing to professional discussions rather than just applying for jobs (Career Strategies). This process of becoming recognizable for solving specific problems helps separate personal identity from the hiring market's response, turning the liminal space of transition into an opportunity for transformation (Editions by Natalie Walton).
Try today · 45 min
Build a practice AI workflow using fictional information.
Create a form that collects a request, use AI to summarize it, and generate a task for human review.
You need
- No-code automation platform (e.g., n8n or Make)
- AI API access (e.g., OpenAI or similar)
- Fictional inquiry data
Steps
- Select a repetitive business task to automate.
- Design a form to capture the incoming request.
- Connect the form to an AI tool to generate a summary.
- Configure the output to create a task in a project management tool.
- Record a short walkthrough explaining how the workflow functions.