Table of Contents

Introduction 

Living through the lockdown(s) and craving travel, the Product team at Byteridge brings a product idea to enhance the travel experience for individuals having the Wanderlust Bug. 

We are going to break it down in the following manner 

  • Voice of the customer 
  • Competition and what is being provided 
  • Identify Target Users  
  • User journey and their pain points  
  • Ideate on Features 
  • Roadmap and Prioritize 
  • Risks 
  • Tech stack 
  • Final thoughts 

Travel Industry – Voice of customer

We heard you! The travel industry is picking up pace post the lockdowns and we see some trends are picking up

  • Experiences (Local/ unique) 
  • Solo travel 
  • Responsible Travel 

Various reports from the industry like hashtag usage on social media, Booking.com, McKensie, and responsibletravel.org have made us believe that these are the top three items which are on the rise over the last few years prior to the travel restriction situation we faced. 

Competition and what is being provided 

To meet the cravings of the travellers there are various products/ product features have been introduced

Experience Economies: 

  • AirBnb Experiences: Local things to do and allowing local economies to build 
  • Withlocals: Book private tours and activities with locals around the world 
  • Agoda Activities for local experiences 
  • Google Explore: Whats happening around me

Travel Applications: 

  • TripAdvisor 
  • Expedia 
  • Credit card services for travel 
  • Airlines and travel applications 

Traditional Travel Agents: 

  • Big and small agencies for booking trips and travel 

There are many players at various levels of travel services to meet the needs of travellers.  

Let’s dig a little deeper and see if there really is a need 

Identify Target Users and their pain points 

For the sake of this writeup let’s look at the following user types (limiting scope).  

  1. Weekenders – shorter travels
    • Solo
    • Group (Friends and family)
  2. Vacationers – longer travels
    • Solo
    • Group (Friends and Family)
  3. Workcationers
    • Solo
    • Group (colleagues)

User journey and their pain points 

Thinking about travel we naturally tend to do the following 

  • Discover – Deciding where to go and what to do and when to go 
  • Plan – Planning the trip how to go, where to stay, where to get things like needs ie food, entertainment, sustainability etc 
  • Activate – Booking, Booking, Booking – Travel, stay and activities 
  • During the trip – Access to tickets and bookings, Locations, directions 
  • Post-trip – Make memories, collate photos, final expenses and sustainability 

Let’s quickly put the pain points together 

 DiscoveryPlanningActivationDuring the tripPost Trip
How users meet their needs nowAsking friends, reading reviews etc. and travel blogs Using travel aggregators or agencies to do bookings etc.Aggregator websites and ask travel agencies to do bookingsRemembering the itinerary, setting up reminders manually or google services to identify them for you Editing videos, posting on social media 
Current Pain PointsAI-enabled personal and group likes and dislikes, Reviewing authenticity and highlighting issues, Determining  Pricing transparency, access to the tickets and itinerary. Planning stops, distances etc for shorter by-road travelsToo much back and forth to decide on timings and people’s needsAccess to tickets, Smarter and timely notifications, Spontaneous potential things to do  Time-consuming, delays as we get busy with daily schedules

Looking at the pain points that are listed under each item there seems to be a laundry list of features that can help bridge the gap and serve the users in a hassle-free trip experience.

Ideate on Features

Largely thinking and putting a little thought on the pain points we see the following features emerging

Journey StepFeature NameImpact to UserComplexityRemarks
DicoveryCreate User profile capture preferencesHighLow 
DicoveryUse data from other sources to build preferencesHighMedium 
DicoveryCreate trips through recommendations or on demandMediumHigh 
DicoveryAdd people to trips and share trip ideas with the groupMediumLow 
Discovery Multiple trips with a trip having multiple ideas, voting within the groupLowLow 
Discovery AI Enabled recommendations in terms of user preferences, reviews, and travel date ideasHighHighRecommendation Accuracy
PlanningSmart recommendations using user preferences, additional information, historical choices. Considering pricing preferences, location preferencesMediumHighRecommendation Accuracy
PlanningCheckpoint recommendations and stops recommendationsHighMedium 
PlanningDownloading maps for hard to reach areasMediumLowMap provider downloading maps for the journey
ActivationItinerary-based booking considering timings and receiving and filing booking confirmations in the trip folderHighlowIntegrations with external providers for booking and payments
During the TripSmart notifications considering time to reach an appointmentMediumHigh 
During the TripAccess to booking confirmations and tickets for individual and group MediumLow 
During the TripSpontaneous activity recommendationsLowLow 
Post TripCreate curated memories, timelines and collages and the sustainability score for the trip to brag aboutHighMedium 

* Please note the Impact and Complexity are many a times subjective

Roadmap and Prioritise

Phew! That’s a long list of features based on the concepts discussed in our Product roadmapping and Product prioritization thoughts we will use the impact and complexity to see what our MVP would be 

Priority 1: All High and Medium Impact and Low Complexity

Priority 2: All High and Medium Impact and Medium Complexity

Priority 3: All High and Medium Impact and High Complexity

Priority 4: All Low Impact and Medium and Low Complexity

Priority 5: Remainder

As for the Product Roadmap, we will logically club or treat these as individual items and a rough engineering sizing will provide a great timeline which can represent what is happening and when. in terms of development, Go to Market, recruit focus group, beta release, User testing, User recruitment and final release.

Risk 

Providing these features could potentially have some unwanted impacts 

  • Is this optimally solving a problem needs to be tested
  • Spontaneity has compromised, a flavour has been added in case time permits
  • Trip may not be the right one potentially there could be better-referred trips based on price or experience

Final thoughts 

The features truly seem to provide a holistic travel planner, travel manager and travel wallet product. For a product to survive and continue to provide its benefits to the users it needs a revenue stream (we didn’t elaborate on this as we will work towards acquiring, engaging and retaining users) which in this case can be generated through profit sharing with travel sites and agencies, selling prefered spots and priority in recommendations. 

Finally, we would have loved to discuss metrics around L1 L2 metrics, the Northstar metric and the business-specific metrics which we will cover in a separate blog.