methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.
Complexitydifferent
HighHighLowLow
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend1-5 Tage45-90 min
Participantsdifferent
6-30 Experten1-8Nutzertraffic2-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationInterest Metrics, Conversion Signal, Learning NoteAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
ValidationExperimentsDemandGrowth
GrowthStrategyMarketPortfolio
Add more methods