Decision intelligence for AI-native product teams
The first platform that treats the entire product team as a measurable, improvable, compounding system. Three layers, five unique capabilities, one compound intelligence flywheel.
Score live today · Intelligence Platform + Compound Engine on the roadmap
Most teams are bolt-on, not AI-native.
They see AI-powered features in their product and conclude they are on their way. They are not. They are bolt-on companies with good marketing.
The honest question is not "Are we using AI?" It is "Could our product exist without it?" If the answer is yes, you are bolt-on.
Insights and recommendations, not dashboards
Dacard doesn't just measure. It analyzes signals across all six team functions and surfaces prioritized recommendations with evidence and financial attribution.
Automated Scoring
AI evaluates your product team across 20 dimensions using structured rubrics. Every score is backed by evidence, not opinion.
Prioritized Recommendations
Get actionable, prioritized recommendations specific to your team's maturity stage. Know exactly what to improve next, and why.
Coaching and Roadmaps
90-day transformation roadmaps tailored to your gaps. Benchmark your team against anonymized industry data to understand what "good" looks like.
A typical strategy engagement costs $200K+ for a one-time snapshot. Dacard provides continuous, self-serve intelligence starting at $49/mo for individuals, $299/mo for teams.
Connect once. Intelligence everywhere.
Your stack feeds signal into Dacard. AI correlates across functions, scores decisions, and compounds organizational learning.
Intelligence that compounds
The Compound Intelligence Flywheel is the core product concept. Each revolution of the cycle makes the next faster, more accurate, and more valuable.
A competitor can copy the framework. They can't copy 12 months of your team's decision intelligence data.
Three layers that compound
Start with a free score. Scale to connected intelligence. Unlock compound learning.
The Score
Paste any URL or take the 20-question assessment. AI scores across 20 dimensions with evidence, confidence levels, anti-pattern detection, and stage classification. Free, shareable, instantly valuable.
The Intelligence Platform
Connect the tools your team already uses. Cross-function signal correlation, citation and traceability, decision intelligence scoring, financial attribution, and coaching. Not a dashboard. A decision intelligence system.
The Compound Engine
Autonomous agents that don't just observe, they act. Auto-create briefs when metrics drift. Auto-correlate launch outcomes with original hypotheses. Organizational learning that accelerates with every cycle.
Intelligence no single tool can provide
Five capabilities that don't exist anywhere else. Each one is powered by cross-function data correlation, not isolated metrics.
Cross-Function Signal Correlation
A competitive move detected in market data auto-triggers a design audit of the affected feature, which correlates with support ticket volume and feature adoption metrics. No human had to connect those dots.
Citation and Traceability
Every insight links back to the specific commits, designs, conversations, tickets, and metrics that generated it. Product leaders can trace the evidence chain and decide for themselves.
Decision Intelligence Scoring
Measures whether what teams shipped was the right thing to ship. By correlating launch decisions with outcome data, Dacard builds a decision quality score that improves over time.
Financial Attribution
Every insight carries a dollar estimate. Product ops stops being a cost center conversation and becomes an ROI conversation. Evidence your CFO can read.
Coaching Layer
Explains what "good" looks like at the next maturity stage for your specific team, with anonymized patterns from the benchmark database.
AI-native from the API out
MCP-first, agent-accessible, zero-trust. 8 tools expose every framework dimension to AI assistants.
The white space nobody owns
Every competitor measures engineering only, using pre-AI metrics. Dacard created the decision intelligence category for product teams. No one else covers all six functions.
Every comparable measures engineering only. None measure the full product team. None measure AI-native maturity.
Dacard measures all 5 product functions. The other 4 have zero measurement tools today.
Team efficiency and effectiveness, across all six functions
Most tools measure engineering activity. Dacard measures what product leaders actually care about: whether your team is getting faster, building better, and driving the outcomes that matter.
Efficiency
Effectiveness
Connect your entire stack
Dacard integrates with the tools your product team already uses. More connectors shipping continuously.
Version Control
GitHub, GitLab
Project Mgmt
Linear, Jira, Asana
Communication
Slack, Teams
Analytics
Amplitude, Mixpanel
Dev Analytics
Jellyfish, LinearB, DX, Swarmia, Waydev
CRM / CSM
HubSpot, Attio
Custom / API
REST, MCP, Webhooks
Start measuring what matters
Take the free assessment or book a call to discuss decision intelligence for your product team.