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LinearUsers requesting bulk actions in task list
Multiple users have asked for the ability to select and update multiple tasks at once
SentryError spike in checkout flow correlating with user complaints
TypeError in PaymentForm component — 340 events in the last hour, up 12x from baseline
PostHogCheckout flow drop-off increased 23% this month
Users abandon at the pricing comparison step — 68% leave without selecting a plan
SlackCustomer in #support asking about bulk data export
Enterprise customer needs to export all feedback data for quarterly board review
Everything you need to build with conviction
From raw feedback to shipped features. One tool, backed by evidence.
Every signal, one feed
Slack threads, PostHog funnels, call transcripts. All in one searchable feed. No manual tagging required.
- Ingests from Slack, Linear, PostHog, Notion, and more
- Structured and searchable automatically
- New signals appear in real time
- Works the moment you connect
Funnel drop-off spike on onboarding step 3
Conversion dropped 18% in the past 7 days…
87%TypeError: Cannot read properties of undefined
Affecting 34 users over the last 24h…
91%[Feature Request] Bulk export to CSV
62%"Can we get a way to bulk assign tasks?"
#product-feedback — 3 replies
58%Initiatives that build themselves
Three Linear requests, two interview mentions, one PostHog drop-off. Same issue. Resolve groups them into one initiative with every source linked.
- Clusters related feedback across sources
- Every initiative traces back to its evidence
- Summaries generated for you
- Stays current as new feedback arrives
5 signals across PostHog, Linear, and user interviews point to friction at onboarding step 3. PostHog shows an 18% drop-off; two Linear tickets request a simplified flow.
Funnel drop-off spike on onboarding step 3
Simplify workspace creation wizard
"Onboarding was confusing for our team"
Ask anything
What are the top complaints this month? Which customers mentioned pricing? Resolve answers from your actual data. Not a generic model.
- Plain-English questions, specific answers
- Every answer cites its sources
- Dig deeper with follow-ups
claude-4.6-opusHere are the top 3 themes from last month:
- Onboarding friction — 42 mentions across Slack, interviews, and support tickets
- Dashboard performance — 31 mentions, mostly from PostHog drop-off data
- Missing integrations — 28 mentions, Notion and Jira most requested
Based on 142 feedback signals from 6 connected sources.
From decision to pull request
Resolve writes the spec, creates Linear tickets, and opens a GitHub branch. Engineers get context. Not a vague ask.
- Specs written from actual user feedback
- GitHub branches and PRs created automatically
- Linear tickets scoped and linked
- Engineers see the why, not just the what
I've opened a PR with the scoped tasks:
- •Adds onboarding flow for new workspaces
- •Updates dashboard to surface top signals
- •Connects Slack integration to signal pipeline
10+ integrations
Slack, Linear, PostHog, GitHub, and more. Setup takes minutes, not days.
SlackLinearPostHogSentry
Notion
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But don't just take our word for it.
@resolve is actually insane. I've tried every PM tool and they all suck. This one doesn't. The signal aggregation alone is worth it.
My PM started using @resolve and now our Linear tickets actually have context in them. Engineers reading specs?? In this economy??
The way @resolve maps customer signals to product initiatives is exactly how great PMs think. It just does the tedious parts for you.
@resolve is actually insane. I've tried every PM tool and they all suck. This one doesn't. The signal aggregation alone is worth it.
My PM started using @resolve and now our Linear tickets actually have context in them. Engineers reading specs?? In this economy??
The way @resolve maps customer signals to product initiatives is exactly how great PMs think. It just does the tedious parts for you.
@resolve is actually insane. I've tried every PM tool and they all suck. This one doesn't. The signal aggregation alone is worth it.
My PM started using @resolve and now our Linear tickets actually have context in them. Engineers reading specs?? In this economy??
The way @resolve maps customer signals to product initiatives is exactly how great PMs think. It just does the tedious parts for you.
@resolve is actually insane. I've tried every PM tool and they all suck. This one doesn't. The signal aggregation alone is worth it.
My PM started using @resolve and now our Linear tickets actually have context in them. Engineers reading specs?? In this economy??
The way @resolve maps customer signals to product initiatives is exactly how great PMs think. It just does the tedious parts for you.
@resolve gets the hardest part of product work right — understanding *why* users want something, not just what they're asking for.
Correct division of labor: AI handles synthesis, PM makes judgment calls. @resolve actually gets this. Most tools get it backwards.
Most PM tools help you organize work. @resolve helps you understand users. Very different problem. Very different result.
@resolve gets the hardest part of product work right — understanding *why* users want something, not just what they're asking for.
Correct division of labor: AI handles synthesis, PM makes judgment calls. @resolve actually gets this. Most tools get it backwards.
Most PM tools help you organize work. @resolve helps you understand users. Very different problem. Very different result.
@resolve gets the hardest part of product work right — understanding *why* users want something, not just what they're asking for.
Correct division of labor: AI handles synthesis, PM makes judgment calls. @resolve actually gets this. Most tools get it backwards.
Most PM tools help you organize work. @resolve helps you understand users. Very different problem. Very different result.
@resolve gets the hardest part of product work right — understanding *why* users want something, not just what they're asking for.
Correct division of labor: AI handles synthesis, PM makes judgment calls. @resolve actually gets this. Most tools get it backwards.
Most PM tools help you organize work. @resolve helps you understand users. Very different problem. Very different result.