Destination Strategy & Research
Frame the destination decision, hypotheses, sampling, provenance and ethics.
Read Article 01 →
Ahmed Mahmoud
A 12-part Amsterdam tourism product-management case study. The final concept is not predetermined: the evidence may support a guided tour, another experience format, or a decision not to build.
Each article documents one management decision, its research method, evidence limits, analytics, artifacts and next gate.
Frame the destination decision, hypotheses, sampling, provenance and ethics.
Read Article 01 →Map public OTA products, direct competitors and substitutes without inventing private demand.
Read Article 02 →Test whether demand, competition, feasibility and destination fit create a real gap.
Read Article 03 →Mine reviews with a human taxonomy, validated coding and journey pain analysis.
Read Article 04 →Select customer jobs, source markets and operating languages supported by evidence.
Read Article 05 →Score attractions, operating conditions, accessibility and route resilience before selecting geography.
Read Article 06 →Trace evidence into requirements, features, suppliers and the service blueprint.
Read Article 07 →Test unit economics, distribution, capacity, pricing and channel concentration.
Read Article 08 →Validate permissions, accessibility, insurance, sustainability and operational controls.
Read Article 09 →Separate climate, live weather, events and product demand in a rolling control calendar.
Read Article 10 →Move the bounded MVP through readiness, rehearsal, paid-pilot controls and evidence review.
Read Article 11 →Join departure evidence, preserve hard gates and choose SCALE, ITERATE, REPOSITION or STOP.
Read Article 12 →Observed data, derived metrics, assumptions, hypotheses and examples remain visibly separate. Public product listings never become invented private bookings.
Humans frame the decision, collect and clean evidence, validate AI-assisted analysis and retain approval authority.
RAW → STAGING → CLEAN → ANALYTICAL → DECISION preserves the source, date, original value, transformation and reviewer.
The project is allowed to conclude DO NOT BUILD when visitor, commercial, operational or destination evidence fails.
Articles 01–12 preserve research controls and publish governed evidence without inventing private performance.
Continue with related methods and the wider series.
Part 01 of a 12-part Amsterdam tourism product-management case study: framing the destination decision, hypotheses, research design, data provenance, sampling and ethics before deciding what to build.
Part 02 of a 12-part Amsterdam tourism product-management case study: a provenance-controlled pilot mapping public OTA listings, product families, direct competitors, substitutes, features and price-comparison limits.
Part 03 of a 12-part Amsterdam tourism product-management case study: triangulating frozen competitive supply with destination demand, policy and feasibility signals through a transparent opportunity model.