A · Solution 003 / 2026 PMs · Strategy · Research Est. read 2 min

AI for product management and strategy.

Archively connects every tool your product team uses — Intercom, Jira, Notion, Slack, Gmail, HubSpot — and turns customer feedback, research notes, tickets, and roadmap docs into clear themes you can act on. Built for product managers and strategy leads who know the answer is in the data and don't have a week to read it all by hand.

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INTERVIEWS Customer calls FEEDBACK Support tickets ROADMAP Quarter planning RFC Architecture options RETRO Sprint review PRD Spec drafts INTERVIEWS Customer calls FEEDBACK Support tickets ROADMAP Quarter planning RFC Architecture options RETRO Sprint review PRD Spec drafts
— The problem

The signal exists. Reading all of it doesn't scale.

Every product manager knows the truth is in the data — the support tickets, the customer interviews, the sales call notes, the bug reports. The trouble is volume. By the time you've read enough of it to spot the pattern, the quarter you were planning for is half over.

01
Customer feedback lives in five places.
Support threads in Intercom. Sales objections in HubSpot notes. Interview transcripts in Drive. Feature requests in a Notion table. Slack DMs about user calls. Synthesizing across all of it is a research project nobody has time for.
02
Roadmap decisions are made on the loudest voice.
The sales lead pushes one feature. An enterprise customer emails another. A teammate just spoke to a vocal user. Without real synthesis, the roadmap reflects who shouted last week — not what the data actually says customers want.
03
PRDs get written without the full context.
You're writing the spec, but the prior debate is in a Slack thread, the technical constraints are in an old RFC, and the customer pain is in tickets nobody linked. The PRD ships incomplete. Engineering re-litigates decisions you thought were settled.
— The solution

Read every ticket by hand. Ask Archively once.

Connect your stack once — Intercom, Jira, Notion, Slack, Gmail, HubSpot, whatever your team runs on. Archively reads it all and turns customer signal, internal docs, and team conversations into one searchable layer indexed by meaning. Ask plain questions like "what are the top three complaints from paying customers this quarter?" and get a real answer with the source threads linked. Generate full reports — research synthesis, feature-request rankings, roadmap briefs — pulled straight from your own data, ready to take into the planning meeting.

— Where it earns its keep

Three jobs PMs shouldn't be doing manually.

Built for product managers and strategy leads in B2B SaaS who carry the synthesis work for the whole team and pay for it every planning cycle. These are the moments Archively pays for itself.

Before quarter planning
Synthesize, don't excavate.

Customer interviews, retros, support tickets, and sales call notes turned into ranked themes and clear demand signals. Walk into roadmap planning with evidence, not anecdotes — and the source threads to back every claim.

What are the top 5 customer pain points from the last 90 days?
When writing a PRD
Pull every relevant decision in.

Old RFCs, prior debates, related tickets, customer requests — all surfaced as you scope the feature. Ship a PRD that already addresses what engineering and the team will ask, before they ask it.

What did we previously decide about offline sync, and why?
After launch
See what the data actually says.

A new feature shipped two weeks ago — what are users actually saying about it? Confusion in support? Praise in sales calls? Silence everywhere? Get the readout from real conversations, not vanity metrics.

What are users saying about the new dashboard since launch?
— Get early access

Stop reading every ticket. Join the waitlist.

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