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Platform overview

Data foundation

See the market from more than one angle

Good sales intelligence starts with evidence your team can inspect, not a score with no explanation. Job-market data is the core of Queast, connected with company, people, news, social, and technology context.

Explore job-market data

Evidence sources

Job-market dataCompany intelligencePeople and stakeholdersNews and social activityTechnology intelligence

Connected evidence

One evidence base. Five useful views.

Each source answers a different question. Queast keeps those boundaries visible, then connects the evidence only where the analysis can support it.

Job-market data

Open roles, skills, seniority, locations, departments, technology requirements, and hiring patterns.

Company intelligence

Account profile, hiring activity, people, news, technologies, preferences, and historical context.

People and stakeholders

Visible roles, career history, technical background, relevant public activity, and available contact paths.

News and social activity

Dated company news and selected recent person posts used as context for research and preparation.

Technology intelligence

Technology context connected to hiring and other supported sources, tracked as a qualifier rather than proof of intent.

Product evidence

Keep the evidence close to the account

Queast groups job activity, company context, people, news, and technologies around the account your team is researching. The product view keeps the supporting information available without turning every observation into a conclusion.

Queast dashboard grouping account activity and dated company news in one dark product view
Product evidence: account activity and dated company news shown together.

Evidence boundaries

From source to recommendation

  1. 01

    Data

    Records what was observed, when it was observed, and where it came from.

  2. 02

    Analysis

    Connects related evidence across time and describes what may be changing.

  3. 03

    Recommendation

    Applies your capabilities and eligibility rules to suggest a practical next action.

A job ad, technology mention, news item, or post can strengthen the picture. None becomes an Actionable Signal simply because it exists.

See the analysis layer

Review principle

Built for inspection

Where a recommendation depends on evidence, the seller should be able to inspect the supporting context, its date, and the uncertainty around the interpretation. Missing evidence stays missing instead of being filled with confident language.

See how Queast works
Source
Where the observation came from
Date
When the evidence was observed
Context
How it relates to the account
Uncertainty
What the evidence cannot establish

Next step

Follow the evidence forward

Start with the core job-market evidence, or see how Queast connects multiple sources into bounded analysis and recommendations.

Explore job-market data See the analysis layer