Gartner Hype Cycle Phase Position Classifier

Choose the strongest caller-assigned fit among the five published Hype Cycle phases. The scores are a user-defined assessment and are not Gartner measurements.

Description

The five Hype Cycle phase labels describe different positions in a technology narrative.

The five Hype Cycle phase labels describe different positions in a technology narrative. This tool selects among caller-assigned fit scores.^{[1, 2]}

The returned values include Leading phase, Leading score, Tied leading phases. The How section below explains the calculation, input rules and interpretation.

When to use Gartner Hype Cycle Phase Position Classifier

Use Gartner Hype Cycle Phase Position Classifier when you need to evaluate the supplied records under the calculation and evidence rules below. Scores are user-defined and are not Gartner measurements or current published placements.

Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.

How to use Gartner Hype Cycle Phase Position Classifier and understand its results

Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
Enter innovationTriggerScore, peakScore, troughScore, slopeScore, plateauScore using the field table and calculation rules, then run the tool.
Read phase, positionScore, tiedPhases. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
innovationTriggerScore	Innovation Trigger score	number; minimum: 0; maximum: 100	Required
peakScore	Peak of Inflated Expectations score	number; minimum: 0; maximum: 100	Required
troughScore	Trough of Disillusionment score	number; minimum: 0; maximum: 100	Required
slopeScore	Slope of Enlightenment score	number; minimum: 0; maximum: 100	Required
plateauScore	Plateau of Productivity score	number; minimum: 0; maximum: 100	Required

Require five finite 0–100 scores. Return maximum, all tied phase names and first tied phase in innovation-trigger/peak/trough/slope/plateau order.

position=max(phaseScores); phase=first maximum in canonical phase order

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
phase	Leading phase	string; one of "innovation_trigger", "peak_of_inflated_expectations", "trough_of_disillusionment", "slope_of_enlightenment", "plateau_of_productivity"
positionScore	Leading score	number; minimum: 0; maximum: 100
tiedPhases	Tied leading phases	list of string

json

{
  "input": {
    "innovationTriggerScore": 20,
    "peakScore": 90,
    "plateauScore": 5,
    "slopeScore": 10,
    "troughScore": 30
  },
  "output": {
    "phase": "peak_of_inflated_expectations",
    "positionScore": 90,
    "tiedPhases": [
      "peak_of_inflated_expectations"
    ]
  }
}

Limitations and assumptions

Scores are user-defined and are not Gartner measurements or current published placements.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Metaverse Hype Versus Utility Verdict Lookup: Utility evidence differs from attention or investment in a metaverse claim. This rule summarizes retention, task improvement and interoperability. For a complementary task, use Web3 Crypto Forecast Spectrum Utopian Critical Lookup: A technology forecast can be framed through adoption, utility, governance and rights evidence. This spectrum uses the caller's scores as a discussion aid.

Further background: Hype Cycle research methodology.

References

Gartner Hype Cycle Phase Position Classifier — tool.io
Hype Cycle research methodology — Gartner

Similar or alternative tools

Metaverse Hype Versus Utility Verdict Lookup
Utility evidence differs from attention or investment in a metaverse claim. This rule summarizes retention, task improvement and interoperability.
Web3 Crypto Forecast Spectrum Utopian Critical Lookup
A technology forecast can be framed through adoption, utility, governance and rights evidence. This spectrum uses the caller's scores as a discussion aid.