Specky vs Amplitude
Amplitude gives you the numbers. Specky gives you the action. Where Amplitude tells you a metric dropped, Specky connects the drop to customer interviews, generates a hypothesis, and drafts the PRD to fix it — automatically.
- Connects quantitative signals to qualitative context
- AI drafts the PRD after detecting the problem
- Full product loop — not just a dashboard
- Ingests Amplitude events as signals alongside Slack, Gong, and more
- 14-day trial
- Industry-leading event analytics and funnels
- Excellent experiment analysis
- Widely used by data-driven product orgs
- Strong behavioural cohort analysis
- No qualitative research, no drafting, no action generation
Feature-by-feature breakdown
When to choose each
Choose Amplitude if…
- Deep behavioural analytics is the core need for your team
- Your data science team needs event-level querying at scale
- You are primarily running A/B tests at volume
Choose Specky if…
- You want qualitative and quantitative signals in one place
- You need AI to turn data into decisions — not just surface numbers
- You want the full loop from signal to shipped feature, not a dashboard
- You need overnight agents synthesising new context for your morning review
Amplitude tells you what happened. Specky tells you why — and what to build next.
Amplitude is genuinely excellent at what it does: event tracking, funnel analysis, experiment results — the quantitative side of product work. If you want to know which cohort dropped off after a specific step, Amplitude is the right tool, and Specky doesn't try to replace it.
What Amplitude can't do is explain the "why" behind the numbers, or turn a data pattern into a shipped feature. It has no user research, no PRD drafting, and no qualitative signal — a support ticket, a Slack complaint, or a JTBD interview transcript never enters Amplitude at all. Specky ingests both: the quantitative signal (via PostHog and your product analytics) and the qualitative signal (Slack, Gong, interviews), connects them in one Product Graph, and drafts the spec grounded in both.
Most teams that use Specky seriously also keep an analytics tool like Amplitude running underneath it — Specky isn't trying to out-dashboard a dedicated analytics platform. It's trying to close the loop analytics tools leave open: turning "here's what happened" into "here's what to build and whether it worked."
Try the difference now
See what “grounded in evidence” means
Paste one real customer complaint. Watch Specky turn it into a prioritized insight with the exact quote that proves it — no signup. This is the part Amplitudedoesn't do.
Specky vs Amplitude — common questions
Does Specky replace Amplitude?+
Not usually — Amplitude is a strong dedicated analytics platform and Specky doesn't try to replicate deep funnel/cohort analysis. Specky ingests analytics signal (via PostHog) alongside qualitative signal like Slack and interviews, and uses both to draft specs; most teams run both tools together.
Can Specky use my Amplitude data?+
Specky's product analytics ingestion runs through PostHog rather than a direct Amplitude connector today. If your team is analytics-first on Amplitude specifically, treat Specky as the qualitative-plus-decision layer sitting alongside it.
Is Specky cheaper than Amplitude?+
Amplitude's Plus plan starts around $995/mo; Specky's Solo tier is €99/mo flat. They're not quite apples to apples — Amplitude is priced for analytics volume, Specky for the PM workflow — but for a small team, Specky is materially cheaper.
What can Specky do that Amplitude can't?+
Run autonomous JTBD user interviews, draft PRDs cited to real evidence, generate engineering tickets, and track a feature back to whether it moved the metric — Amplitude tells you the metric moved, Specky is what decided what to build and confirms the causal link.
Early design partners
See the difference in 5 minutes
Start a 14-day trial. Connect Slack and Jira and Specky starts building your Product Graph immediately.