What the three-step Scry engagement looks like
A Scry engagement runs in three steps: you set a standing objective, send your existing tool exports, and receive a structured synthesis report. No integrations. No engineering. No lengthy onboarding.
What each step produces and what you're holding at the end, is what this post covers.
How does a Scry engagement work?
The Three-Step Scry Engagement removes every friction point between your data and a decision-grade synthesis report.
Set a standing objective.
A standing objective is the cross-source question your team has been circling but can't answer from any single tool. It's specific, scoped to a timeframe, and names the decision it's meant to inform.
A well-formed standing objective: "Identify whether churn in Q2 2026 is concentrated in a specific onboarding cohort, acquisition channel, or support interaction pattern — and whether any of those signals appeared in product data before the churn event."
A vague one: "Understand our churn better."
The vague version produces a vague report. The specific version helps produces a finding you can act on.
Send your existing tool exports.
You don't need new integrations, a data warehouse, or an analytics engineer. You bring exports from whatever tools you're already running: product analytics (Mixpanel, Amplitude), CRM (Salesforce, HubSpot), support (Intercom, Zendesk), ad attribution, transaction history.
Standard file formats — CSVs, spreadsheets, structured exports. If your tool can export it, Scry can work from it.
Forrester research estimates that knowledge workers lose 30% of their workday searching for data that exists in their stack but not in a form that answers cross-source questions. Scry doesn't ask you to solve that problem first. You bring what you have.
What Scry adds is simultaneous analysis across every source you send. That's the gap between Layer 2 and Layer 3 (the synthesis layer) in the Three Layers of a Growth Stack, and it's the gap no analytics tool in your current stack closes on its own.
Receive a structured synthesis report.
What comes back is a six-section document organized around your standing objective — delivered to wherever your team already works: Slack, email, Notion, Google Docs, etc.
The Six-Section Scry Report:
Executive Summary — a single top-line conclusion. The finding that changes how your team approaches the next 90 days.
Action Plan — phased next steps with sequencing rationale, named owners, and the specific metric that tells you whether each action is working.
Revenue Scenarios — directional models of what acting on the findings versus not acting produces.
Findings — cross-source insights classified by relationship type: Corroboration (two sources independently confirm the same pattern), Contradiction (two sources conflict — the conflict is the finding), Explanation (one source reveals why a finding in another source occurs), Extension (one source adds the dimension that makes a finding actionable).
Gaps & Unknowns — what Scry couldn't answer from the current data, and what data would close each gap. This section is as important as the Findings, it tells you what you don't know you don't know.
Methodology — how the analysis was conducted, which data sources were used, and how findings were validated across sources.
Every report goes through a human review before delivery. The human-in-the-loop catches false correlations and adds institutional context the model can't derive from the data alone.
What data do I need to bring to Scry?
Any export from your existing tools in a standard format. A Mixpanel event CSV, a Salesforce opportunity report, an Intercom conversation export.
MuleSoft's 2025 Connectivity Benchmark found that 90% of IT leaders say data silos are creating active business challenges, and the average enterprise manages 897 applications with only 29% integrated. The problem is structural — and it doesn't require new tools to solve. The data you already have is sufficient to answer the cross-source questions your team has been sitting on. Scry adds the layer that connects it.
What happens after I send my data to Scry?
Your report arrives in the format your team already uses. The findings are classified using the Four Cross-Source Relationships — Corroboration, Contradiction, Explanation, and Extension — and ready to act on without translation.
Every report also becomes part of Scry's ongoing understanding of your business. New analyses are deduplicated against past reports. Subsequent runs focus on what's new or has changed rather than repeating what you already know.
Gartner puts the average cost of poor data quality at $12.9 million per year. Most of that cost isn't missing data. It's the synthesis gap — signals that exist across your stack, never connected, never surfaced as a single finding before a decision closes. The synthesis report is what closes that gap.
What does Scry produce from a data engagement?
A structured intelligence report against your standing objective. A finding, an action plan, and the documented gaps that tell your team what to pull next.
If this sounds like what your team is missing, here's how to start.
Email hello@monadux.com or DM me on LinkedIn. Tell me the cross-source question your team has been sitting on. I'll respond to every message, and we'll scope the standing objective from there.
— Steven
FAQ
How does a Scry engagement work?
A Scry engagement runs in three steps. First, you set a standing objective — a specific, scoped cross-source question your team needs answered. Second, you send exports from your existing tools: product analytics, CRM, support data, ad attribution, transaction history, etc. Scry analyzes everything simultaneously across all sources. Third, you receive a structured synthesis report with a top-line conclusion, action plan, revenue scenarios, findings classification, gaps and unknowns, and methodology. No integrations, no engineering, no lengthy onboarding.
What does Scry produce from a data engagement?
A structured synthesis report organized around your standing objective. Six sections: Executive Summary (the top-line finding), Action Plan (phased next steps with named owners and success metrics), Revenue Scenarios (directional models of acting versus not acting), Findings (cross-source insights classified as Corroboration, Contradiction, Explanation, or Extension), Gaps & Unknowns (what Scry couldn't answer and what data would close each gap), and Methodology. Every report goes through human review before delivery.
What data do I need to bring to Scry?
Standard exports from your existing tools. A Mixpanel event CSV, a Salesforce opportunity report, an Intercom conversation export — any data your current tools produce. Scry works from what you already have. No new integrations, no data warehouse, no engineering work required before you start.
What happens after I send my data to Scry?
Scry analyzes everything simultaneously across all sources, identifies Four Cross-Source Relationships between findings — Corroboration, Contradiction, Explanation, and Extension — and delivers a structured synthesis report to wherever your team already works. Every report compounds: new analyses are deduplicated against past findings, and subsequent reports focus on what's changed rather than repeating what you already know.