Not a survey.
A working method.
Most people who study travel trends spend their time reading reports written by people who also just read reports. This is different. The material here is built around raw data sources, pattern recognition, and the kind of analysis that holds up when you actually test it against what happens next.
Who else is working through this material
The people here are not students in the traditional sense. They come from destination marketing, tour operations, hospitality consulting, and independent research. A few work inside airlines or booking platforms. What they share is a specific frustration: the gap between publicly available trend data and anything that actually helps them make a decision.
That shared context matters more than it sounds. When someone in the group spots a data anomaly in Southeast Asian inbound numbers, the person sitting across from them in a live session might have spent three years managing those exact routes. The environment compounds what you bring into it.
The quarterly report that explained nothing
Sigrid Laan worked in destination marketing for a mid-sized Baltic tourism board. Every quarter she received a 60-page report on European travel sentiment. Every quarter she filed it. The data was real. The conclusions were too broad to act on — "travellers value authenticity" — and too slow to reflect anything that had happened in the last eight weeks.
She started the curriculum looking for a faster signal. What she found instead was a way to build her own. By the third module she had set up a monitoring stack that pulled from four live sources and flagged meaningful shifts before they appeared in any published index.
What makes the analysis stick
The curriculum does not teach you to read other people's conclusions faster. It builds the habit of going to primary sources — booking velocity data, search query shifts, visa issuance patterns — and asking what they actually show before reaching for an interpretation.
Each module pairs a data type with a real decision scenario. You do not study sentiment analysis in the abstract. You apply it to a specific destination during a specific period and see where the method holds and where it breaks down.
This is not for everyone — which is useful to say plainly
A good fit if you
- 01 Work in or adjacent to travel and need analysis that connects to actual operational decisions, not just general industry awareness.
- 02 Already handle data in some form — spreadsheets, dashboards, booking reports — and want to do something more structured with it.
- 03 Have a specific question you are trying to answer — a market you are entering, a segment you are watching, a claim you need to test.
- 04 Can commit four to six hours per week consistently. The material builds on itself; gaps compound.
Probably not a fit if you
- 01 Are looking for a high-level overview of travel industry trends without getting into the underlying data. There are better resources for that.
- 02 Need a credential rather than a capability. The curriculum does not issue certificates that mean much outside the work itself.
- 03 Expect conclusions to be handed to you. The method requires you to form your own and defend them in live sessions.
- 04 Are at the very start of your career with no exposure to the industry. Some baseline context makes the material significantly more useful.
When this works and when it does not
The curriculum is asynchronous by design, but it is not self-paced in the way that usually means "abandoned by week three." There are fixed submission windows, live sessions that require preparation, and a cohort structure that creates mild but real accountability. If your schedule cannot absorb a recurring weekly commitment, the timing is probably wrong — not the material.
Fixed intake windows
New cohorts open three times per year. Joining mid-cycle is not possible — the group dynamic is part of what the structure relies on.
Weekly submission rhythm
Each module has a deliverable. Missing one is recoverable. Missing two in a row puts you behind in ways that are hard to reverse without catching up.
Live sessions are optional but consequential
You can complete the curriculum without attending a single live session. Most people who do that report getting less out of it. The recordings exist; the discussion does not.
No prerequisite tools
You do not need a specific platform or subscription. The methods are built around sources that are publicly accessible or available on a standard professional tier.
Language of instruction
All material is in English. The data sources covered span multiple languages, but you work with them in English-language interfaces unless you choose otherwise.
Support is asynchronous
Questions get answered — usually within 24 hours on weekdays. There is no live chat or same-day turnaround. Plan your work accordingly.
The people behind the curriculum
Prospectivapy was set up in 2020 by a small group that had spent the previous decade doing travel market research for hire — for tourism boards, for hotel groups, for a couple of airline strategy teams. The curriculum came out of the observation that the methods they used professionally were not being taught anywhere in a form that practitioners could actually apply.
The people who built the material still deliver it. There is no separation between the researchers and the instructors. When the data environment shifts — and it does, regularly — the curriculum reflects that within the same intake cycle, not the next one.
Andrei Põldvere
Twelve years in travel demand forecasting. Previously built the analytics function for a Nordic tour operator group. Teaches the modules on booking velocity and forward-looking indicators.
Kaisa Nurmi
Background in academic geography and destination competitiveness research. Runs the live analysis sessions and the peer review process for submitted work.
Rein Tammela
Maintains the list of primary sources covered in the curriculum and updates it when sources change structure, paywall, or reliability. Also handles the technical setup guides.
- Research delivered to clients in 11 countries before prospectivapy was formalised
- Curriculum reviewed and updated after every intake based on what breaks in practice
- No external funding, no investor pressure — the programme runs on tuition and stays small deliberately
- Based in Tallinn, working with participants across the Baltic and Nordic regions and beyond