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Market Map and Signal Scan
Triangulate demand, supply, behavior, and constraint signals into a decision-ready market map and opportunity thesis.
$5
Works with the AI Agents you already use
Market Map and Signal Scan
Example session with this skill installed
Fictional training scenario; no real client data.
Use $market-map-signal-scan to assess whether a startup should enter AI quality assurance for contact centers in the UK and Germany. Focus on credible opportunity gaps, not a generic competitor list.
- Read your context and instructions
- Compiled the market map
Fictional worked illustration from the public repository, not a recorded agent run or a verified client outcome. Any additional figures, thresholds and market signals are scenario assumptions, not observed results. No generated PDF or finished deck is included.
Sample output
Executive answer
Enter only around regulated mid-market contact centers that need auditable quality review across human and AI-handled interactions. The broad category is crowded, but evidence is directionally stronger for audit trails, multilingual policy testing, and integration with legacy recording systems than for another general conversation-analytics product.
Market structure
| Segment | Buyer job | Current alternatives | Basis of competition |
|---|---|---|---|
| Enterprise suites | Consolidate workforce and analytics | CCaaS and workforce platforms | Distribution and integration breadth |
| QA specialists | Increase review coverage | Manual sampling and specialist tools | Workflow depth and coaching |
| AI-agent testing | Validate automated interactions | Internal scripts and emerging vendors | Simulation, traceability, speed |
| Regulated mid-market | Prove policy compliance affordably | Manual review and consultants | Trust, auditability, deployment friction |
Signal register
| Claim | Independent signals | Confidence | Implication |
|---|---|---|---|
| Manual sampling is inadequate | Buyer interviews plus QA job growth | Directional | Coverage is a credible pain point |
| Buyers will pay for auditability | Regulated RFP language plus compliance budgets | Directional | Lead with control evidence |
| General analytics is saturated | Dense vendor set plus suite bundling | Proven | Avoid broad category positioning |
| AI-agent testing is urgent now | Vendor launches but limited buying evidence | Weak | Treat as option, not base case |
Opportunity thesis
Target 200–2,000-seat regulated contact centers with a deployment that reads existing recordings, tests policy adherence in English and German, and produces reviewer-level evidence. Validate through 12 buyer interviews, three data-access pilots, and willingness-to-pay tests before building simulation features.
Stop criteria
- Buyers require replacement of the recording platform.
- Compliance teams will not accept model-generated evidence without full traceability.
- Fewer than three of twelve buyers fund the problem from an identified budget.
Connects securely to your tools. The creator never sees your data.
About this skill
Map buyers, competitors, substitutes and gatekeepers, then triangulate demand, supply, behavior and constraint signals. Turn an opportunity claim into a bounded thesis with evidence confidence and stop criteria.
What you get
SKILL.md, signal taxonomy, output-template and open-source-pattern references, agent metadata and MIT LICENSE.
Primary deliverable: Market map and opportunity gap matrix.
How to use
Unzip the package into your compatible agent's skills folder. Ask the agent to use market-map-signal-scan and supply your decision, evidence and constraints. Review the result before acting on it.
Open source and purchase transparency
Version 1.1.0. The same skill is available free under the MIT license in Consulting Skills Lab. This optional $5 purchase supports the creator and provides the packaged download through Agensi; it is not exclusive content and does not include an AI-model subscription, hosted service, consulting engagement or guaranteed future support. The MIT license is included in the ZIP.
Example and limits
The listing demo is a fictional worked illustration, not a recorded agent benchmark or a real customer result. Read the public example.
No live data feed, paid research subscription or automated scraping engine is included. Current research needs your agent's browser/search tools or supplied sources. Attention signals do not prove adoption, buyer budgets or an obtainable market.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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