You: How is bulk edit doing two weeks after launch? Adoption, retention and what customers say.
AI for product
Connect customer feedback to product decisions.
Build agents that gather feedback from support and sales, summarize requests, and track usage, keeping the evidence for each decision.
Bulk edit, two weeks in
Roadmap clarity
Organize requests from across the company. Evidence kept with each theme.
An agent groups requests from tickets, call notes, and issue trackers, each linked to its source.
product

What are the top feature requests from customers this month?
I’ve analyzed feedback across Slack, Zendesk, Linear, and Intercom. Here are the top themes by mention count.

Good timing — create a Linear project for the top request and draft a brief.
Done. I’ve created a Linear project for the API rate limits overhaul and drafted an initial brief with customer quotes and impact analysis.
API Rate Limits — Customer Brief.pdfMeasure impact
Measure what you shipped. Connect launches to outcomes.
Track adoption and engagement after each launch in dashboards built from usage data and feedback.
product

How are last month’s feature launches performing?
I’ve pulled adoption data across all four features launched last month. Here’s the 30-day breakdown.

Smart Alerts adoption is low. Pull the feedback on why.
Found 12 feedback threads. The main blockers are unclear default thresholds and missing Slack integration. 8 of 12 users said they’d use it once those are addressed.
PRDs & updates
Prepare product briefs and updates. Start with your company’s context.
Give an agent your template, feedback, and docs, and it drafts a brief with assumptions and open questions.
product

Draft a PRD for the API rate limit overhaul based on the customer feedback.
Done. I’ve drafted a full PRD using the customer feedback data, existing API docs, and usage metrics.

Looks solid — share this with the engineering team and schedule a review for Thursday.
Done. I’ve shared the PRD in #engineering and scheduled a 30-minute review for Thursday at 2pm. Calendar invites sent to the API team.
PRD — API Rate Limit Overhaul.pdfCompetitive intelligence
Track changes in your market. Research sent to your team.
Pick the competitors and sources, and a scheduled agent summarizes what changed, with source links.
product

What have our competitors shipped or announced this week?
Here’s this week’s competitive intel across your tracked competitors.

The usage-based pricing from Competitor Y concerns me. Analyze how it compares to ours.
I’ve compared their new pricing tiers against ours across 5 customer segments. We’re more competitive for mid-market but lose on enterprise volume. I’ve drafted a pricing impact memo.
Pricing Comparison — Competitor Y.pdfQuestions
Start with customer feedback and your issue tracker. Add sales notes or product analytics when a workflow needs more context.
An agent can group feedback and show evidence such as request counts or affected accounts. Your product team sets the criteria and makes the call.
Connect your product analytics, define the feature metrics, and an agent prepares a recurring report linked to the source data.
No. Adapt connects your current tools so agents can work across them, and your tracker and analytics stay the systems of record.