Update tags so they relate to individual speakers rather than entire transcripts ... this will enable the tool to work effectively with focus groups as well as IDIs 😁 (8/9)
Complete further demos with ICG participants and agencies. If you haven’t had one already, reach out and let us know 🤗 (4/9)
Fine tune the project setup to remove unecessary steps. This will you get to analysis faster and just make the whole experience that bit more enjoyable 🛠️ (2/9)
March 1:
Bug fixes 🐞
More demos ... these were looking even better 📈
And we started working on content like walkthroughs, guides, and tutorials to help people start to make their way around the tool independently 🧑🏫
Feb 14:
Build begins 🔨
Whilst this was taking place, we were working hard on gathering feedback from some of the best agencies & orgs in the game (YouGov, Kantar, Qual Street, 17 Seconds) 📞
The feedback was looking promising ... 🥰
Feb 1st:
Designs begin ✏️
At this point, we were asking whether to go with a chat-style interface or a auto-generated table filled with answers to questions sorted by speaker...
Speaking to researchers, the chat was a clear winner 🏅
January 14
Design partnership with 5 amazing members of the ICG 🤝
Aiming to understand:
😤 Key pain points qualis face
📚What exactly does the analysis process look like?
🏃♀️How can we 10x that process?
We started working full time on CoLoop in the middle of January.
Here's how things have progressed since then 📅
Our technology discover key themes from interviews, extract quotes, and format answers ready to be taken straight into a slide deck or presentation. (3/4)
CoLoop offers a chat-style interface which allows users to upload transcripts of their interviews and calls and ask questions about them using AI. (2/4)
Please reach out to [email protected] to schedule an onboarding. (4/4)
