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Platform overview

Analysis and recommendations

Connect the evidence before choosing the next step

Queast helps your team connect dated market evidence across time, test whether the movement is relevant to what you can deliver, and decide what deserves action.

Source data records what happened. Analysis describes what may be changing. Eligibility checks customer relevance. An Actionable Signal recommends a practical next step.

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Bounded analysis

One path from evidence to a defensible recommendation

  1. 01

    Source evidence

    Dated job-market, company, people, news, social, and technology context remains traceable.

  2. 02

    Composite Intent

    Related evidence contributes to a company-level, time-aware hypothesis without replacing earlier history.

  3. 03

    Eligibility and fit

    Active evidence, conflicts, confirmed capabilities, and the applicable rules determine whether action is supported.

  4. 04

    Actionable Signal

    The highest-authority layer recommends a practical next step with the reason and supporting context available.

The boundaries stay visible. A job ad, post, technology mention, or other single observation is evidence—not a Signal.

Time-aware context

Analyse movement without erasing uncertainty

Composite Intents retain contributing history so the team can understand whether a view is emerging, active, cooling, dormant, or suppressed. A Composite Intent is analysis, not an automatic recommendation to contact the account.

EmergingActiveCoolingDormantSuppressed
Reinforcement
Adds support when new evidence points in the same direction.
Conflict
Weakens or suppresses a view when the evidence does not agree.
Freshness
Distinguishes current movement from an old pattern.
Provenance
Keeps contributing observations and runs available for inspection.
Dark Queast Smart Signals view showing a capability-readiness prompt, strict contract label, evidence cues, and a reviewable recommendation
Product evidence: an example Smart Signals view exposes capability readiness, strict contract context, evidence cues, and a recommendation for review.

Customer relevance

Keep customer fit explicit

Queast keeps confirmed capabilities in the decision path and can hold a strict recommendation back when required capability information is missing. Technology preferences can qualify and frame the context; they cannot establish eligibility or activate an intent.

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Bounded outputs

Produce the right kind of output

Not every analysis should become the same artifact. Queast keeps recommendation, preparation, person context, and drafting roles distinct.

Actionable Signals

Supported, eligible recommendations that explain why an account matters and what may make sense next.

SPICED preparation

Evidence-gated Situation, Pain, Impact, Critical Event, and Decision context for preparation and discovery—not a qualification verdict.

Person Approach Briefs

Person-only approach angles, talking points, communication cues, and cautions without assigning company intent to an individual.

Context-sensitive messaging

Evidence-aware drafts shaped by positioning, a template, and the sender’s saved style, always prepared for human review.

Human judgment

Keep uncertainty useful

When the evidence is incomplete, Queast can keep the item at research level, expose the missing context, or frame a discovery question. The seller keeps control of the interpretation and the next action.

  1. 01

    Hold

    Do not force a recommendation when a required gate is missing.

  2. 02

    Inspect

    Review the evidence, date, contributing context, and conflicts.

  3. 03

    Discover

    Turn a supported gap into a question rather than an invented fact.

Next step

See the recommendation layer in context

Explore how Actionable Signals present a supported next step, or return to the data foundation behind the analysis.

Explore Actionable Signals Explore the data foundation