DAC

Your decision sidekick for scoring, coaching, and strategic guidance.

DAC, your decision sidekick. We live in a resizable rail on the right side of every page and we carry your scoring data, the framework rubric, and seasoned product practice. Ask us something specific; get something specific back.

DAC

DAC, your decision sidekick. We live in a resizable rail on the right side of every page and carry deep knowledge of modern product practice, your scoring data, and the next-move recommendations that go with it. The two of us, working your decisions together.

What we know

DAC is not a generic chatbot. We carry specialized knowledge across three domains.

Scoring frameworks

All three frameworks (Team Operations, Development Lifecycle, Product Assessment) with dimension-level detail. What each maturity stage means and how to move between them.

Your data

When you’re on a scored product, we have the full result: dimension scores, cluster analysis, stage placement, and the next-move recommendations.

Practice library

Practice and insight from 13 leading product thinkers across discovery, PLG, DevOps, pricing, and operations.

Knowledge domains

We draw on established practice and frameworks across:

Product strategy and discovery

Continuous discovery, opportunity framing, assumption testing, empowered team models, outcome-driven development.

Product operations and craft

Team health signals, making work visible, operational excellence patterns, high-leverage prioritization frameworks.

Growth and monetization

Product-led growth strategy, self-serve funnels, usage-based pricing, growth loops, PLG-to-sales handoff patterns.

Engineering and platform

DevOps metrics (deployment frequency, lead time, change failure rate), engineering velocity, infrastructure economics.

How to work with us

Context-aware conversations

We adjust based on where you are in the app.

Page	What we focus on
Score results	Full scoring data, dimension analysis, next moves
Dashboard	Cross-product patterns, portfolio trajectory
Operations report	Team workflow maturity, function-level coaching
Lifecycle report	Build process read, stage progression
Sources	Adapter health, signal coverage
Any other page	General product ops guidance, framework knowledge

Conversation starters

On a scored product

• “What should I move on first?”
• “Explain my biggest gap.”
• “How do I reach the next stage?”
• “Build me a 90-day roadmap.”
• “How do I move data flywheel from 2 to 3?”

On general pages

• “What does each maturity stage mean?”
• “How are the 27 dimensions scored?”
• “What score do top teams land?”
• “What does continuous discovery look like at our stage?”
• “How does a score of 27 read for a Series B company?”

Resizable rail

The rail can be resized by dragging the left edge. Drag left to expand (up to 600px) for longer conversations, or right to collapse (down to 280px) to focus on the main content. Close us with the X button; reopen us with the floating Ask ✦ DAC button.

Financial attribution

Every coaching recommendation carries a dollar estimate of the potential impact. When we suggest moving a dimension, we show the projected annual capacity recovery based on your team size and the dimension’s recovery factor.

Example: “Moving process iteration from 2 to 3 could recover ~$180K/year in developer capacity (eliminated process bottlenecks).”

The estimates run on a heuristic model: team size, average fully-loaded cost, and industry benchmarks for how each dimension lift translates to recovered developer-weeks.

Evidence citations

Coaching observations come with traceable evidence. When your account has connected adapters, observations carry citations linking to the source artifacts.

• GitHub PR URLs for delivery velocity observations
• Linear issue links for process and cycle time observations
• Deployment URLs for shipping frequency signals

Each citation carries the source, a browsable link, and a timestamp. Leaders can trace any recommendation back to the commits, issues, or deployments that produced it.

Teach DAC

Beyond simple thumbs up / thumbs down, we support structured feedback so you can shape how we coach you next time.

Reaction	What it tells us
Helpful	Recommendation was accurate and actionable
Already doing this	Correct read, but team has already addressed it
Wrong diagnosis	The underlying problem identified is wrong
Wrong priority	Correct read, but the urgency is off
Not actionable	Too vague or generic to act on
Implemented differently	You took a different path to the same outcome

Teaching DAC improves our recommendations over time. We learn which moves work for your team and which patterns to avoid.

Tips for sharper responses

Be specific about what you want to move

Instead of “how do I improve?”, try “how do I move data flywheel from 2 to 3?” We get sharper with specific context.

Ask for frameworks and models

We can apply specific frameworks: “what does continuous discovery look like at our stage?” or “how does our score map to the Product Operating Model?”

Request structured plans

We can build structured plans: “give me a 90-day roadmap to move from Building to Scaling” or “what are the top 3 moves my team should make this cycle?”

Compare and benchmark

Ask us to contextualize your scores: “is a score of 27 good for a Series B company?” or “how does my operations maturity read against my product maturity?”

Our recommendations are model-generated. Verify before making critical calls.