CHANGELOG · 21st August 2026
See the whole customer problem.
Related bugs and requests combine into one priority.
Annsa combines related bugs and improvements into one priority, so you can see the full account, revenue and urgency behind the problem.
Customers often describe the same underlying problem from different angles. Export failures, incomplete imports and missing data can arrive as separate themes from separate accounts, even though they belong to one product decision. Bringing those signals together gives the priority its real breadth.
Annsa keeps a priority stable once it has recognized the relationship, then tests nearby bug and improvement themes for the same underlying problem. It combines up to 6 related groups, recalculates the accounts, revenue and urgency behind them, and ranks the joined priority. Praise and new feature ideas stay separate.
How to use it
Customers rarely use the same words for the same product problem. Annsa brings the related evidence together before it decides where the work belongs in the ranking.
- Bring in feedback from more than one account, through the sources you already use.
- Let Annsa finish processing and open Priorities.
- Open the priority to read the combined signals and the accounts behind it.
Also in this release
Start with the work affecting the most accounts
The default priority views now rank by account breadth, then revenue and urgency, so the first row reflects commercial reach rather than mention count alone.
Follow what changed in a refreshed spec
A material refresh leaves one dated note with what changed, why and who changed it, while routine rewrites stay quiet.
Export the whole priority board
A Markdown export opens with every active priority in rank order, including signals, accounts, parked state and whether its spec is in the file.
Start with room for 500 feedback items
Every Free account can process 500 feedback items in its first month, so a real starting dataset lands before the steady 100-item monthly limit begins.
Free accounts, for their first 30 days.
Improvements
- Customer evidence
- Transcript imports identify the customer speaker from the names already supplied. Customer Voice quotes carry the named customer, and transcript exports use the date the words were spoken when it is available.
- Responsiveness
- CSV imports, customer resolution and pipeline work move off the request loop, so the app stays responsive while larger datasets are being processed.