NotionDrew EvansProblem & solution
Her Tech Circle rebuilt a community from scratch using Notion
Summary
After Girls in Tech abruptly ended its global operations, Renece Brewster and Karen Katz had one week to decide how to preserve an Australian community of 18,000 members. They launched Her Tech Circle (HTC), retaining the community’s core values while focusing on helping women in Australia and New Zealand thrive, lead, and contribute in tech. To rebuild quickly, HTC made Notion its digital headquarters, first piloting it with the social media team before rolling it out across the organization. The workspace combines a public-facing volunteer portal, a shared marketing database, and a directory that doubles as an org chart, linking roles, team leads, and peer support. HTC’s experience argues for testing tools early, making knowledge discoverable, and building scalable systems that let volunteers contribute independently rather than concentrating operational knowledge with founders.
Context
Girls in Tech abruptly shut down its global operations, leaving 18,000 members and Australian volunteers without the infrastructure needed to continue. HTC also needed to rebuild systems, transition the community, and coordinate volunteers while preserving momentum.
Approach / What changed
Her Tech Circle created a new organization and made Notion its digital headquarters. It piloted the workspace with the social media team, then expanded it into a public-facing portal, marketing database, volunteer directory, and onboarding hub.
Takeaways
HTC piloted Notion with its social media team in early 2025 before rolling the workspace out to the broader organization.
The public-facing portal gives volunteers information about HTC, participation, chapter locations, and board members.
A shared marketing database manages events, social media plans, brand guidelines, and sponsor information, while the volunteer directory provides roles and communication lines.
Source and freshness
- Source
- notion.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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