Usage trend
Tracks whether product usage is growing, stable, or declining vs. the prior 90-day period
One of 51 free, open-source prompts from Sonora — copy-paste-ready AI prompts for customer success and account management, organized by customer lifecycle stage. Copy this into any AI assistant, or run it on autopilot inside Sonora.
Analyze [customer name]’s product usage trend over the last 90 days compared to the prior 90-day period.
Step 1: Pull product usage
Retrieve weekly active users for the last 6 months from product analytics.
Step 2: Compare periods
Calculate the average weekly active users for:
- Recent period: Last 90 days
- Prior period: 90–180 days ago
Step 3: Classify trend
- Growing: Recent average is more than 10% higher than the prior period.
- Stable: Recent average is within ±10% of the prior period.
- Declining: Recent average is more than 10% lower than the prior period.
Return exactly one of: Growing, Stable, Declining
Include the specific numbers (e.g., “WAU averaged 245 in the last 90 days vs. 198 in the prior period — +24%”) in the reason field.
Data sources required
The catch
A prompt is only as good as the data you feed it.
Run this well and you'll be stitching together 1 disconnected system by hand, for one account at a time — and the answer is only ever as fresh as your last copy-paste. Sonora already has the context, live:
- Product analytics — connected and continuously synced
Inside Sonora this prompt runs grounded in your real customer data, on a schedule, across every account at once — and flags what needs you, before you have to ask.
More Activate prompts
Feature mention
Detects if a specific feature was discussed in calls, emails, or tickets
Low engagement warning
Flags customers showing low engagement — no recent meetings, support contact, or outreach response.
Multi-product activation
Tracks multi-feature adoption and platform engagement across key products
Roadmap match
Checks if customer feature requests align with a provided roadmap
Unfulfilled feature requests
Identifies customers who have requested features not yet fulfilled