Lavu's Restaurant app UX Case Study

Lavu's Restaurant app UX Case Study preview

Full UX case study and UI components for restaurant app.

Food ordering mobile iOS app

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restaurant app ux case study

Making Your UX Life Easier with the MoSCoW

If you’re stuck trying to move a project forward because it seems like there are too many things to concentrate on then the MoSCoW method may help you get unstuck. It’s a prioritization technique which is easy to learn and simple to apply. It can also help you decide what’s really valuable for your UX projects before you get started on them.

There are many different prioritization techniques that can be employed on design projects but one of the simplest to use is the MoSCoW method. It’s used across all business disciplines to enable project teams to work with stakeholders to define requirements. It can also be used as a personal prioritization technique.

What Does MoSCoW Stand For?

MoSCoW is an (almost) acronym designed to reflect the four categories used by the technique to determine priorities; Must have, Should have, Could have and Would like but won’t get. The lower case “o’s” are added simply to give the acronym a pronounceable form. Occasionally, you may also see the whole phrase in block capitals MOSCOW to distinguish it from the name of the city but MoSCoW is more common.

What is the MoSCoW Method?

restaurant app ux case study

Experts Dai Clegg and Richard Barker proposed the method in their paper “Case Method Fast-Track: A RAD Approach” and while it was initially intended to be used with the Dynamic Systems Development Method (DSDM) it has long since been adopted throughout many areas of business. In recent times it has become very popular in the Agile and RAD (rapid application development) communities.

The MoSCoW method is most effective when it comes to prioritizing requirements in projects with either fixed or tight deadlines. It works by understanding the idea that all project requirements can be considered important but that they should be prioritized to give the biggest benefits in the fastest possible time frame.

It breaks down the requirements into four categories:

These are the requirements without which a project will fail. They MUST be delivered within the timeframe in order for anyone involved with the project to move on. In essence they make up the MVP ( Minimum Viable Product ) though it can be argued that MUST could stand for Minimum Usable SubseT too.

Should have

Should have requirements aren’t 100% necessary for delivering the project successfully but they are the “most nice to have” out of the list. They may be less time critical than “must have” or might be better held for a future release.

restaurant app ux case study

Could have requirements are just “nice to have” they are desirable to provide a nice user experience or customer experience but they’re not that important to the delivery of the project. They will be delivered only if there’s enough time and resources to spare to devote to them. Otherwise, they’re likely to be tabled for future releases and re-reviewed to see if they have become higher or lower priority in the interim.

These are the requirements that everyone agrees aren’t going to happen. It might be because they cost too much to implement or provide too little ROI ( Return on Investment ) for the efforts required to implement them. These are simply left to one side until they are either removed from the requirements list or become a higher priority.

The MoSCoW method provides a simple way of clarifying the priorities involved on a project. It’s most useful in time bound situations and it can be used to prioritize your own workload (usually with the buy in from a supervisor or manager if you work for someone else) as easily as it can be used for project work.

Implementing MoSCoW – A Practical Process

restaurant app ux case study

The easiest way to use MoSCoW is to bring together all the relevant stakeholders to the project and then:

List the requirements (on a flip chart or on a screen)

Vote on which category each requirement falls into (bearing in mind any hierarchical issues within the company itself – the CEOs vote may count for more than the votes of everyone else in the room)

Then collate the information and ensure that each requirement is presented against the relevant category in written form so that it can be used for reference by the project team

You can repeat this exercise whenever you feel it is necessary. Priorities may change mid-project or between releases. It’s important for everyone to understand what the implications of changing priorities in the middle of a project may be in terms of costs, resources, and time.

Issues with MoSCoW

It’s important to know that the MoSCoW method isn’t without its detractors. The main flaw in the method, as identified by authors Kark Weigers and Joy Beatty in their book Software Requirements, is that the method offers no means for comparing one requirement to another. This can make it difficult for those tasked with prioritizing requirements to know which category to place them in.

The Take Away

The MoSCoW method offers a simple process for prioritizing within project delivery. It can also be used to prioritize your work load. It should be used with some caution in that it may be too simple – particularly for complex projects – but it makes for a good starting point. One of the big advantages to its simplicity is that it should be easy to get buy in from other stakeholders to put it into practice.

Check out this useful study into how the MoSCoW method is used by business analysts .

You can read about the MoSCoW method as it was originally designed in: Clegg, Dai; Barker, Richard (2004-11-09). Case Method Fast-Track: A RAD Approach. Addison-Wesley. ISBN 978-0-201-62432-8.

You can read Weigers and Beatty’s criticism and their suggestion for a more complex method in: Wiegers, Karl; Beatty, Joy (2013). Software Requirements. Washington, USA: Microsoft Press. pp. 320–321. ISBN 978-0-7356-7966-5.

Hero Image: Author/Copyright holder: Agile Connection. Copyright terms and licence: All rights reserved. Img

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New ITU case study maps the Moscow ‘smart city’ journey

New ITU case study maps the Moscow ‘smart city’ journey featured image

Moscow reports experience with Key Performance Indicators for Smart Sustainable Cities

A new ITU case study offers an evaluation of Moscow’s progress in meeting the objectives of its ‘smart city’ strategies and the United Nations Sustainable Development Goals (SDGs). The case study ,  Implementing ITU-T International Standards to Shape Smart Sustainable Cities: The Case of Moscow , was undertaken using the Key Performance Indicators (KPIs) for Smart Sustainable Cities developed by the  United for Smart Sustainable Cities (U4SSC) initiativ e .

The ITU case study traces Moscow’s smart city journey from its origins in Moscow’s  Information City  strategy launched in 2011 to its successor the  Smart Moscow 2030  strategy. It highlights the role of Moscow’s Government in coordinating the implementation of a wide array of smart city projects in the city and how these projects have substantially improved the quality of life for city residents. The report assesses Moscow’s smart city performance using U4SSC indicators that measure impact on three dimensions: the economy, environment and society & culture.

Information and communication technology (ICT) is a recognized key contributor to the Moscow economy. Building on its strengths and maintaining ICTs as a strategic lever, Moscow has adopted vibrant policies for ICT development and proliferation. These aspects are clearly reflected in the good performance by Moscow, as presented in the report, within the sub-dimensions of “ICT” and “Productivity”.

The case study also serves as a valuable reference point to other cities in Russia and Commonwealth of Independent State countries – as well as to cities around the world pursuing greater efficiency and sustainability. ITU standardization experts responsible for the refinement of the Key Performance Indicators will also find the case study to be valuable.

RELATED: Dubai reports results from implementing ITU’s Key Performance Indicators for Smart Sustainable Cities

“Home to more than 12 million people, Moscow is the largest urban area on the European continent,” said ITU Secretary-General Houlin Zhao. “Considering the size of Moscow and its population, this case study offers a unique set of lessons learned for other cities around the world developing a ‘smart city’ strategy. I commend Moscow’s leaders for their efforts to share these experiences and this knowledge with the international community, towards creating a ‘smart’ world for everyone, everywhere.”

“Moscow has made a rapid smart city journey from 2011 and we are keen on keeping up with the pace. No matter whether it is Moscow, Singapore or Barcelona – every city has the same task to make their residents’ lives enjoyable, safe and comfortable,” said Strategy and Innovations Advisor to the Chief Information Officer of Moscow, Andrey Belozerov. “We are happy to contribute to this research as it is important to develop universal metrics to access city performances all around the world.”

The findings of the case study will feed into the work of ITU’s Telecommunication Standardization Sector (ITU-T)  Study Group 20 , the expert group leading the development of ITU standards for the Internet of Things and smart cities. These standards assist in optimizing the application of ICTs within smart cities, in addition to supporting efficient data processing and management.

RELATED: New ITU case study shares insight into Singapore’s ‘Smart Nation’ strategy

The findings will also be taken up by the U4SSC initiative, which advocates for public policy to ensure that ICTs, and ICT standards in particular, play a definitive role in the transition to Smart Sustainable Cities. U4SSC also promotes the adoption of international standards in reaching the United Nations Sustainable Development Goals and the reporting of associated experiences.

The Moscow case study follows prior smart city case studies of Dubai and Singapore. These have made valuable smart cities experiences and knowledge available to other cities around the world. This reporting also solicits feedback that helps cities to refine their smart city strategies.

U4SSC has developed a  ‘Collection methodology for the Key Performance Indicators for Smart Sustainable Cities’  to guide cities in their collection of core data and information necessary to assess  their progress in becoming a Smart Sustainable City. It is supported by 16 United Nations bodies, including ITU, and is open to the participation of all stakeholders interested in driving smart city innovation.

The collaboration encouraged by U4SSC has led more than 50 cities to measure their smart city strategies using the U4SSC’s KPIs for Smart Sustainable Cities, which are based on the ITU international standard,  ITU Y.4903/L.1603 “Key Performance Indicators for Smart Sustainable Cities to assess the achievement of Sustainable Development Goals” .

This ITU News story was originally distributed as an ITU press release. For more ITU press releases, see the  ITU Media Centre . 

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Competition on blockchain authentication for digital finance, national e-waste monitor: namibia 2024, connect with itu standards experts at ofc.

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Restaurant Reservation App | UX Case Study

app interaction reservation UI ui design UI/UX user experience user interface ux

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restaurant app ux case study

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restaurant app ux case study

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  • reservation
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