Understand signals
See real customer and product evidence, with sample data kept separate from reality.
Product intelligence / 01
A calm place to answer the question behind the roadmap.
See what changed.
Know what to do next.
Specky connects the evidence your product team already has, then turns uncertainty into a decision you can explain.
Ask about a metric, a customer problem, a risky assumption, or a shipped bet. Specky uses the connected tools it can actually access, shows the trail, and keeps the human in charge of the decision.
- Live tools first for current questions
- Evidence stays attached
- Human review for consequential actions
Product intelligence cockpit connecting signals, decisions, and outcomes
The moment it is for
When the dashboard says what, find the why.
A number changing is not yet a product decision. Product intelligence connects behavior to customer language, strategy, and delivery context so the next move is smaller, safer, and easier to defend.
Start with a question
“Why did signups change over the last five days?”
PostHogSlackHelp ScoutProduct Graph
Input can be a metric question, a customer complaint, a pasted note, or a pattern you cannot explain yet.
Specky returns
A decision brief you can review
- What moved, and how confident we are
- Customer evidence that explains the pattern
- The next investigation or smallest useful experiment
01
Ask
Say the question in the words you use with your team.
02
Ground
Read the live source and the surrounding product memory.
03
Compare
Separate correlation, evidence, and open questions.
04
Decide
Turn the finding into a priority, spec, or experiment.
05
Learn
Attach the result to the bet that created it.
What goes in / what comes out
No magic prompt. A useful product question.
The best result starts with a real decision you are trying to make. Specky does not replace your judgment; it shortens the distance between the question and the evidence.
You give Specky
- A plain-language product question
- A metric, support pattern, call, interview, or customer request
- Connected sources such as PostHog, Slack, Help Scout, JustCall, Jira, or Linear
- Your constraint: team capacity, launch window, risk, or desired outcome
Specky gives back
- The evidence that supports the answer, with unknowns called out
- Signals and patterns that deserve attention now
- Priority candidates with scores, context, and a reason to believe
- Open outcomes so shipped work does not disappear into a changelog
One cockpit, four jobs
The product work hiding inside “what should we build?”
Product intelligence is not another dashboard to babysit. It is the shared surface where a PM can see the important exceptions and choose the next action.
Catch exceptions
Bring pending inbox items, metric anomalies, strategy tension, and open questions to the surface.
Make a priority call
Compare opportunities by evidence, RICE, confidence, impact, and the constraints you actually have.
Close the outcome loop
Keep shipped bets visible until the metric or customer outcome has a considered verdict.
A concrete example
From “signups are down” to a decision your team can use.
The point is not to make the answer sound clever. The point is to make the evidence, uncertainty, and next move obvious to the whole team.
01
Question
Why did signups change over the last five days?
02
Live check
Query the connected analytics source first.
03
Context
Compare support, calls, Slack, and recent releases.
04
Decision
Choose an investigation or smallest useful test.
05
Follow-through
Create the brief and keep the outcome visible.
The useful answer is allowed to be “we do not know yet.” Specky should show which source was checked, what the evidence supports, what it cannot establish, and what would reduce the uncertainty next.
Built for the real stack
Your sources stay useful where they already live.
Connect the tools you have, not the tools a demo assumes. Native integrations are shortcuts into the Product Graph; REST, webhooks, files, URLs, and MCP cover the long tail.
PostHog, Amplitude, Mixpanel, Pendo
Slack, Teams, Intercom, Zendesk, Help Scout
Gong, Zoom, fonio, ElevenLabs, JustCall
Jira, Linear, GitHub, Azure DevOps, Asana, Trello, Shortcut
Notion, Confluence, Miro, Figma, Google Workspace
REST API, webhooks, files, URLs, Chrome, custom MCP
Make the next product question easier to answer.
Connect one source, ask one real question, and see whether the evidence-to-outcome workflow fits your team.
Questions
Product intelligence, plainly explained
What is product intelligence in Specky?
It is the connected layer between your sources and your product decisions. Specky brings customer language, research, analytics, strategy, delivery, and outcome evidence into one Product Graph, then gives you a place to ask questions and review the next decision.
What do I need to give Specky?
Start with one real question, such as why signups changed, which customer problem deserves attention, or what shipped work still needs a verdict. Add the sources that contain the evidence: PostHog, Slack, support, calls, docs, Jira, Linear, GitHub, or files.
What does Specky return?
You get a grounded answer or a clear statement of what is unknown, linked evidence, ranked product candidates, review items, draftable product work, and a path to measure what happened after shipping. Humans still approve consequential changes.
Does Specky hide tools behind intent gates?
No. The production chat receives the full built-in toolset and the live MCP tools from connected integrations. It is instructed to use the relevant live source first for current questions, then combine it with workspace context when useful.