User Research Synthesis AI for B2B SaaS | Clozure Edison

Most product orgs ship the wrong things 40% of the time. Edison reads every support ticket, NPS comment, and sales-call transcript — then prioritizes the 3 features that will move retention the most.

For user research synthesis, that 40% miss rate means teams spend months building features nobody asked for, while the real revenue-blocking bugs stack up in backlog purgatory. Edison changes that.

The User Research Synthesis problem most teams have

Manual synthesis is a black hole. A typical B2B SaaS product team with 4 PMs spends 18 hours per week just tagging, categorizing, and summarizing user feedback from 6+ sources (Zendesk, Intercom, Gong, NPS surveys, UserInterviews, product analytics). That's $1,800/week in PM salary burned on clerical work.

Worse: 62% of user insights are lost or forgotten within 2 weeks because they're buried in a spreadsheet, a Slack thread, or a Notion doc nobody reopens. And when you finally get to the quarterly roadmap prioritization meeting, you're arguing over opinions — not data — because the synthesis is already stale.

How Edison owns User Research Synthesis end-to-end

Edison doesn't just aggregate feedback — he synthesizes it into a single, prioritized action list. Here's how:

• User-feedback synthesis: Edison ingests every support ticket, NPS comment, and customer interview transcript. He deduplicates, tags by sentiment and intent, and clusters them into themes — all without a human touching a spreadsheet.
• Feature impact scoring: Each theme gets a score based on frequency, revenue impact, and churn risk. Edison doesn't just tell you what users are saying — he tells you what to build first to move retention.
• Roadmap prioritization: Edison drafts a ranked roadmap with confidence intervals. He surfaces the 3 features that, based on your actual data, will produce the biggest retention lift. No more HiPPO-driven decisions.

Edison works 24/7. He doesn't take vacation. He doesn't forget last week's call transcript.

A concrete Edison workflow

BEFORE: Acme SaaS (a real customer, name anonymized) had 3 PMs spending 22 hours per week manually synthesizing feedback from 8 sources. Their Q3 roadmap was built on a single executive's hunch. They shipped a major onboarding redesign — and retention dropped 12%.

Edison's actions:

1. Day 1: Edison ingested 14,000 support tickets, 4,200 NPS responses, and 180 sales-call transcripts from the last 6 months.
2. Day 2: He identified 47 distinct feedback themes, scored them by retention impact. The top theme: "Billing confusion during upgrade" — mentioned in 23% of churned-user tickets, but never surfaced in monthly synthesis.
3. Day 3: Edison generated a ranked roadmap: fix billing UX first (predicted +8% retention), then add SSO (predicted +4%), then improve search (predicted +2%).

AFTER: Acme's PMs now spend 3 hours per week on synthesis — reviewing Edison's output instead of building it. They shipped the billing fix in 2 weeks. Retention improved 9% in 30 days. The PMs now spend their reclaimed time on customer discovery calls and strategy.

Why Edison wins vs. hiring

Hiring a human VP of Product or a Senior PM for synthesis costs $180,000–$240,000/year plus equity. Ramp time is 3–6 months. They take 4 weeks of vacation. And there's a 25% annual attrition risk in product roles.

Edison costs a fraction of that. He's operational in 2 hours. He works every weekend. He never forgets a single NPS comment from 18 months ago. He doesn't get bored of reading the 500th "I can't figure out how to upgrade" ticket.

This isn't about replacing humans — it's about giving your PMs superpowers. Let Edison do the synthesis. Let your PMs do the strategy.

See what Edison would find in your data

Enter your team size, current synthesis hours, and monthly churn rate. Edison will estimate the retention lift and hours saved — based on real data from 50+ B2B SaaS companies.

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