Need Signals Abstraction Layer for Market Discoverers
Market discoverers need a simplification layer over raw Naftiko Signals — letting them query firmographics + signals + industry clusters as business questions, without navigating the underlying data themselves. 85% of viewers' eyes glaze over without it.
Take Control Of Your Signals — Become a Naftiko Design Partner Today!
Persona Story:
Vance, a market discoverer looking at Naftiko Signals for the first time, needs “a layer or a couple-layer abstraction of simplification on top” — letting them ask the data business questions (filter by size, flag clusters, prioritize industries) instead of navigating the underlying corpus themselves. Without it, 85% of viewers’ eyes glaze over.
Problem Context
- Raw Naftiko Signals exposes the underlying corpus — 300 companies (Fortune 1000 by end of May), 50 industries, 40 areas of investment, per-company landing pages with role-based UTM
- That density is exactly right for the design-partner persona (Riley, Noah, Pat, etc.) who’s already inside the enterprise stack and can map signal to action
- It is exactly wrong for Vance, the market-discoverer persona, who has 0 starting context about the corpus and wants to ask business questions not data-navigation questions
- Vincent verbatim: “I need to have something to the extent that maybe a layer or a couple-layer abstraction layer of simplification on top, and maybe it is your API search.”
- Kin’s own number: “85% of people I show to see there’s value, but their eyes gloss over.”
Problem Impact
- Without the abstraction layer, Naftiko Signals can never become a paid product for the Vance segment — adoption fails at the first 90 seconds of exploration
- The abstraction-layer gap is the single highest-leverage UX intervention in the current Signals product — it would convert “eyes glaze over” to “now I can ask my question”
- The abstraction layer is also the natural place to plug in tiered pricing and the Claude skills bundle — they are the same problem at different altitudes
Naftiko Today
- The data corpus is complete; the role-based UTM landing pages are the closest existing version of “an abstraction over the raw data”
- Navi (the per-page AI chat surface) is a partial abstraction layer — natural-language Q&A over a single company’s data — but it’s not corpus-wide and not market-discovery-shaped
- API Evangelist + apis.io give Kin the underlying data-organization vocabulary but it’s exposed as reference, not as a market-discovery interface
Naftiko Tomorrow
- Build a market-discovery-shaped front door over Naftiko Signals — a query interface that takes business questions (size band, industry cluster, signal type) and returns ranked answers
- Promote Navi from per-company to corpus-wide — let Vance ask Navi “find me mid-market healthcare companies with AI signals” and get a ranked list, not a per-company chat
- Define 3–5 canonical “market-discovery views” as the entry surface — Filter-by-Size, Industry-Cluster-Heatmap, Greenfield-Prioritizer, Competitor-Watch, Signal-Change-Over-Time — each one a templated answer to a Vance-shaped business question
- Optional: expose each canonical view as a named Claude skill (see need-naftiko-skills-bundle-for-claude-with-tiered-pricing)