UX Design Research Assignment A Self-Paced Design-Thinking Project
SMARTKEYS
A Web-Application Configure Property Details In Less Time
Harleen Dhawan
Harleen Dhawan
Index
Problem Statement - Brief - Design Duration - Process Followed - Approach - Assumptions & Hypothesis
Background study - User Persona - Empathy mapping - Competitors/ similar platforms
Current Scenario - Workflow - Pain Points
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Solutions - Iterations - Hierarchy of Information - Parameters, Tabs, Sub-tabs - Categorizing of major tasks - classifying and configuring data - Information Architecture - Scalable Database - Reducing and Streamlining Stakeholders - Developing Wireframes - Efficient UI Elements - Testing - Hypothesis in the solution - Using AI Capabilties - Assumptions in the solution
Harleen Dhawan
PROBLEM STATEMENT BRIEF
R
ajendra Sharma is an employee at Urja real estate corporation. He is a Technical Officer who is tasked with recording and maintaining details of all the real-estate projects owned by the Urja real estate corporation. A gated community typically consists of multiple towers (typically 6-8) and each tower has multiple floors (typically 8-12). - 1, 2, or 3 BHK - Direction facing (East, west, north, south, and all directions in between) - Carpet area, Super built up area - Amenities such as: Garden facing or Pool facing, Parking, Balconies, False Ceiling, Furnishing level (no, semi or fully furnished), etc. Currently using the software used by the company it takes around 20 working days for Rajendra to manually input the comprehensive information about each and every flat for a gated community with 8 towers, each with 10 floors and 12 flats per floor. (Total of 8x10x12 = 960 flats. Assuming that it currently takes about 10 minutes to enter the details of one flat. It takes 960x10minutes = 9600 minutes = 6 days and 16 hours or 20 working days.)
As you can see it will take much longer to input all the details for larger projects. Come up with a design solution which will help Rajendra Sharma and his team to configure property details in less time.
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As per the data in the given problem statement, the key pain point is that Rajendra Sharma, a technical officer of a big real-estate corporation, spends an inefficiently big chunk of time to configure property details, which are often huge in number. Essentially, the time spent in entering the data from the ‘project report’ should be reduced from about 160 hours to about 8 hours.
DESIGN DURATION I initially allotted a time of 3 weeks for this project. It got extended to roughly 5 weeks (not constant working) due to the initial stage of experiencing the problems first-hand requiring more time, where I tried to undertake the tasks of the user, i.e. the technical officer of a real-estate company myself due to lack of existing applications in the market that caters to the same. This led me to simulate a current scenario database, iterating and digging in to find gaps where all the parts of the solution can help increase speed and get the work done more efficiently. The solution-finding was therein more intuitive due to directly empathizing with the pain-points and challenges as a user.
Harleen Dhawan
PROCESS FOLLOWED Understanding the problem statement and assumptions, the target user at the end User Persona Evaluating current available options of methods for doing the task - flow of tasks from start to finish User Flow after experiencing the process first-hand Recognizing recurring, basic User Objectives, the constants and variables of the database, recognizing current pain points User Experience Strategies to help address current pain points, and essentially
- decrease time spent, and increase efficiency (improving the current template) Developing Information Architecture and testing it Wireframes
Research Interact with the user
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Empathize Be the user
Define & Derive Know the user problem
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APPROACH • The approach while starting the assignment was to first begin by acting as the user itself and understanding the process followed currently for such a task to recognize pain points, gaps and opportunities of organizing the data, and eventually, how it would then help in minimizing repeated details and following up with updates. • Another design approach figured out early on was to put down a list of assumptions of the tasks-flow to narrow down the scope of improvement
How Might We approach ‘How Might We’ is a design thinking activity used to translate problems into opportunities for strategizing and iterating the experience we ought to build. This process gets the creativity flowing and encourages to think about the problem with different perspectives.
Iterate Break down the strategies
How might we make the user confident while using the app
How might we create a minimal experience to document the information faster
How might we develop a good content strategy to make the tool’s information relevant
How might we make the user collaborate with the team easily
How might we develop an interface that reminds the user about important things ad deadlines
How might we create a simple intuitive UI elements and organization
How might we develop the app such that the user has to keep least things in mind/ memory
How might we design the info- architecture so the user intuitively knows where they are in the product and where the information is
Skeleton Information Architecture
Prototype Design and stick to it
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ASSUMPTIONS & HYPOTHESIS • Considering he is spending 10 minute per flat to input all the details, the assumption can be made that he is spending 10 minutes to only input the data, and NOT TAKING INTO ACCOUNT THE PROCESS OF FINDING the relevant details and how he or his team undergoes that process (eg, by going to each flat and checking for details, or reading from architectural plans and drawings of the real estate project). • Another assumption made is that the variables of flat details are limited to being in a SINGLE GATED COMMUNITY, i.e. different flats in different gated communities are not being mapped, hence the proximity to external amenities like public transport system, etc. is not being mapped and compared. • Thirdly, the assumption is that Rajendra Sharma is typing all details of each flat ONE AT A TIME, causing him to spend 10 min per flat, in turn 160 hours for all the flats. For this, Microsoft Excel was assumed as a software being used currently for recording and maintaining the data, which despite its capabilities, has become outdated and tedious. This is a significant part of the problem that leads us to the thought of approaching the solution by providing a way to ORGANIZE the details in a more CASCADING, efficient way. • Another assumption is that one of the various scattered sources of information is the PROJECT REPORT is being demonstrated by the architect/ builder in the form of architectural drawing and tables format, which needs to be documented as a database in a way that makes it easier to go through each flat’s details. • After using Microsoft Excel to undergo the task first-hand, a flow of tasks in a current scenario was ASSUMED and mapped out to further narrow down the scope of improvement amongst all the tasks from start to finish. (See ‘Current Scenario’ section)
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Assumptions about information given in the ‘Project Report’, and the method of showcasing this data. The following project report example (next page) is assumed which is shared by the builder/ architects. The report shares the following data • Types 1-10 (as per carpet area and direction facing) • direction facing, facing pool/ garden, BHK type), • selling/ renting rate, • construction cost • block/ tower number, • floor, • number of balconies, • balcony area, • Pet-friendly • Photos and walkthrough videos • Maintenance requests and status • other common specifications like structure materials, doors and windows materials, painting, flooring, tile cladding/ dadoing, kitchen specs, bathroom specs, electrical specs, communication specs (intercom), STP, power backup specs, plumbing, lift, fire safety, security, car washing facility, and LPG, water availability, Vastu compliant. • Status (under construction or constructed), possession by, price breakup, booking amount, • Amenities such as False Ceiling, Furnishing level (no, semi or fully furnished), Washing machine, refrigerator, stove, RO, AC systems
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Project Report example as shared with a builder, assumed for the assignment whi Harleen Dhawan
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ile researching Harleen Dhawan
BACKGROUND User Persona As per the assignment brief/ problem statement provided, a few traits of the technical officer who is the end user, the situation of the company, situation of the task and its painpoints, etc were realised and developed based on researching about the task, under-taking the task, and jotting down ways where the organization of workflow lacks in structure to function in a systematic way.
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Rajendra Sharma (27, Male) Rajendra Sharma is a technical officer at a real estate company, with a degree in Business. He is a tech savy young professional and is proefficient in technical softwares and has high standards of productivity.
-Technical officer at Urja real estate corporation since 1 year -Based in Hyderabad, Telangana, India -Role includes recording and maintaining details of real-estate projects
Motivations -Eager to learn -Wants to take on more clients -Willing to expand his knowledge and softwares
Goals -To use his time efficiently -To make more money -To realise outdated methods
Pain Points/ Challenges
Currently using
-Outdated data-management method -Repeating listings due to inefficient software -Wastes time cold-calling the builders to learn that the listing has expired -Planning and organizing of the database -Shrinking timelines & finding reliable software
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EMPATHY MAPPING Empathy mapping is performed to gain a much deeper and qualitative insights into the user’s mind so that they can experience a sense of ease while using the application, since the core intent of the web application is to increase efficiency and decrease hassle of entering large repetitive data.
thinks & feels
does
exhausted overwhelmed bored lost/ confused sporadic system
repetitive tasks collecting information from various scattered sources cold calling stakeholders for updates
says
hears
outdated systems for documenting exhaustive lists
deadlines are strict and short
data-management is the toughest task
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needs to update statuses regularly manually manually listing is the best way to ensure no mistakes
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COMPETITORS More repetitive tasks/ less efficient
Upon researching, an existing app to combat the issue of maintaining and recording ON THE BACK-END for such database was not found very easily. Following are the few apps that match the market for the application desired.
- ZILLOW
Less Time Consuming (UX)
More Time Consuming (UX)
- REDFIN - LOOPNET - MICROSOFT EXCEL
Less repetitive tasks/ more efficient
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CURRENT SCENARIO Linear approach Upon researching, an existing app to combat the issue of maintaining and recording such database was not found in the entirety, hence, Google Sheets/ Microsoft Excel was assumed, where the team-members of the Urja Real Estate are tracking, maintaining, updating, and documenting the exhaustive lists of real estate properties and collaborating with the fellow team-members. Assuming the current software being used is Microsoft Excel, the process was tried first-hand to understand the workflow. This enabled a greater understanding at shortcomings of the medium and possible ways the data can be customized and organized in a platform/ application where the painpoints of doing this particular task can be improved upon in a custom manner.
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https://docs.google.com/spreadsheets/d/1g5jDH0sewai26T6yrxqGtH5DObOckNm_0v7GykBncHs/edit#gid=0
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WORK-FLOW After using Microsoft Excel to undergo the task first-hand, a flow of tasks was ASSUMED and mapped out to further narrow down the scope of improvement amongst all the tasks from start to finish.
INSIGHT - The different apps, softwares, project reports, contact details, property details, property media, etc and different sources of information all must come together in a singular catalogue, thus minimizing and making the process of repetitive logging easier and faster
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PAIN-POINTS Building a database for the back-end agents to maintain the listings efficiently is as crucial as an app for the customers’ best experience to enable them to look for their perfect home. • Entering details of each flat one-by-one - tedious • Exhaustive listings and its information • Unsustainable as projects get bigger • Time consuming • Limited addition of functions like check marks and data-validation • Searching and editing a column/ row is tedious • Adding another detail is unsustainable to put across the entire project • Permutation-combination of various constants and variables can be recorded, demonstrated and read in an easier way • Organization of data in the project report is demonstrated in a illustrative manner, hence taking time to convert it manually into listings • Adding a customised detail in data validation takes up more time, ending up being an inefficient method (eg. 1BHK+2T, 1BHK+2T+1powder room, 1BHK+1T) • Recurring details such as property address, type, and another exhaustive list of details for the common facilities across all flats and towers is either tedious to repeat while recording or expressed in a limited way that doesn’t allow to show all the facilities. • Check list marking what IS available is more tedious than deselecting what is NOT offered • Adding information of all the columns requires details from various sources, eg. architects, builders, status, financial report, project report, sellers/ buyers, etc. • Updating data such as status of the listings (sold or unsold, furnished level) by cold-calling is tedious and inefficient, leading to realising many listings have been long expired.
Hence, we can conclude that there is scope of categorizing in a better, more efficient way but limited by software.
Harleen Dhawan
SOLUTIONS ITERATIONS After going through the process of recording data in Microsoft Excel software, certain key pain points were realised. This led me to a narrowed-down look at the challenges, recurring issues and scope of improvement in the current workflow and information architecture. The web application will be helping in maintaining the list of all the active and archived properties and its entire details in one platform, organized in a way to help undergo all operations and update in a easier and efficient way. Upon getting a grasp of the required task for the user, a funnel-like solution was developed, while using certain UI-elements that would all aid in saving time for the user to enter repetitive data that can be ‘breadcrumbed’ for a more systematic workflow. Apart from this, when managing multiple properties as well as collaborating with multiple stakeholders and sources of information, keeping an overview is key.
DOCUMENTING FEATURES Harleen Dhawan
MAINTAINING REQUESTS
SYSTEMATIC
ORGANIZED
STAGGERED APPROACH
MAINTAINING LISTS
UPDATIN 22
NG LISTS
HIERARCHY OF INFORMATION Before moving onto low and hi-fi prototyping in Adobe XD, my first step was to get out my notebook and start iterating, trying to work out the hierarchy of the all the parameters that is needed to be covered in the platform (web-application).
MUST HAVE
SHOULD HAVE
UI elements to make data entry quicker dashboard to overview and collaborate
auto-fill data based on commonalities such as common amenities
project report by builders
breadcrumbs to know what information is filled and left
list of all builders
messages, contact info, etc.
WILL NOT HAVE
COULD HAVE
one-flat-at-a-time filling data
AI capabiltiies to extract data from various sources
manual data entry linear repetitive details which dont need to be repeated and are common for the whole tower/ block
RECORDING LISTS
one stop platform for all info including maintenance, photos, videos etc.
MANAGING DATA
EDITING DATA Harleen Dhawan
PARAMETERS, TABS AND SUB-TABS - staggered approach Initial approach and iterations were more simple in the method of improving on the existing outdated software of Excel sheets, making the approach still linear with more scrolling but improving only upon the ui elements to enter data quicker. Upon discussions and re-reading the approach, categorizing and recognizing the ways in which data overlaps, I realised that several parameters about each flat need not be shown on the same page, but parallely on other tabs and sub-tabs. This lead me to approach the larger database entry in a more STAGGERED or cascading way, in order to make it more digestable and intuitive to view, record and edit.
The following broad categories of parameters was worked outDashboard - To access and preview the status of the flats Messaging - To update the status of each flat by recording each communication with the owners and builders, brokers. This can also be helpful for collaborative working within the company Properties - To maintain an exhaustive list of all details of each flat, alongwith the common details of the whole tower or the entire gated community. Maintenance requests - To have a list of requests for major civil and plumbing, major electrical etc. related maintenance requests and arrange as per priority, alongwith its status. With the vendor relationship added to the process, the landlord can simply send all relevant details to the vendor, including tenant availability, with one click - avoiding the current back and forth process of email and phone calls and losing the management hastle. Contact Information - To compile the addresses, contact details of builders, staff (housekeeping, security,), and vendors (plumber, electrician, etc.) for the entire gated community, and any other stakeholders.
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CATEGORIZING TASKS CLASSIFYING AND CONFIGURING DATA
DASHBOARD
MESSAGES
BUILDERS
CONTACT INFO
PROFILE/ ACCOUNT
DIRECTORY -ALL PROPERTIES
PROPERTY NAME
BLOCK/ TOWER NUMBER
FLAT NUMBER
ALL DETAILS OF THE PROPERTY
MAINTENANCE REQUESTS, STATUS
ALL DETAILS OF THE FLAT
ALL DETAILS OF THE BUILDER
ALL INFO ABOUT THE BLOCK
DOCUMENTS
STAFF CONTACT DETAILS
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INFORMATION ARCHITECTURE LAUNCH PAGE
LOG-IN
ON-BOARDING
SIGN-UP
DASHBOARD OVERVIEW
MESSAGES
USER DETAILS
MOBILE VERIFICATION
CONTACT INFO
VERIFICATION SUCCESS
BUILDERS
PROFILE/ ACCOUNT
ALL PROPERTIES DIRECTORY
ACTIVE
INACTIVE
PROPERTY
PROPERTY
CONSTRUCTION COST
ADDRESS INFO
NEW
ADD NEW PROPERTY
BLOCK/ TOWER FLAT NUMBER
BUILDER INFO
DOCUMENTS
MEDIA
COMMON AMENITIES
structure materials, doors and windows materials, painting, flooring, tile cladding, kitchen specs, bathroom specs, electrical specs, communication specs (intercom), STP, power backup specs, plumbing, lift, fire safety, security, car washing facility, and LPG, water availability, Vastu compliant.
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SELECT PROPERTY
COMMON AMENITIES
MAINTENANCE REQUESTS, STATUS
REQUESTS & STATUS
OPEN
STAKEHOLDERS INFO
CLOSED
CONTACT DETAILS
STAFF
ALL
VENDOR
STAKEHOLDERS
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SELECT PROPERTY
SELECT TOWER
WASHING MACHINE
REFRIGERATOR
FALSE CEILING
FURNISHING LEVEL
NO. OF BEDROOMS
NO. OF BATHROOMS
STOVE
AC SYSTEMS
NO. OF BALCONIES
NO. OF POWDER ROOM
PARKING SPACE
RO
SELECT FLAT
BALCONY AREA
ROOMS AREA
CARPET AREA
SUPER-BUILT AREA
BUILT AREA
INDIVIDUAL AMENITIES
FLAT DETAILS
AREA CALCULATION
DIRECTION SIMULATION STATUS OF PROPERTY COSTING AND SELLING RATE PET-FRIENDLY PHOTOS/ WALKTHROUGH VIDEOS
GARDEN
POOL
MAIN ROAD
WINDOW FACING
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Scalable Database As this platform goes on, there will be succeedingly more users, and hence, more listings in the future, so one has to make sure that the database or platform is TEMPLATED properly so it is flexible enough to support the scale-up operations. To simplify the property searching process, advanced search options will need to be provided to user, with narrower filters and categories.
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REDUCING AND STREAMLINING STAKEHOLDERS MAINTENANCE FEATURE (Adding vendors list and staff contact lists) the ability to perform quick actions like update status and update priority of a ticket from the requests dashboard provides added value for a user who is managing several properties (a property manager), and needs to quickly scan and prioritize tickets. Taking this sector of our user base into consideration in the early stages will be helpful as we scale up.
( + continuing in the AI section)
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Developing Wireframes To plan the basic UX flow
The Dashboard - Landing page post log-in to get a sense of overview of all the ongoings und Harleen Dhawan
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der Urja Real state
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Visualizing the broad Tabs, Sub-tabs and features Harleen Dhawan
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Property Tab to document information details Harleen Dhawan
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Tower/ Block Tab to document information details of a particular property whose Harleen Dhawan
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e details have already been filled Harleen Dhawan
Flat Tab to document information details of the particular flat of a selected tower o Harleen Dhawan
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of a selected property whose details are already filled Harleen Dhawan
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User Interface
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Only the parts that can be derived objectively from research
Color Palette
The color palette ought to be straight-forward, intuitive color schemes, with simplistic back-drop colors and sub-dued accent-color to show hierarchy in a minimal method while the content pops out and stays the most relevant visually.
Typography
Poppins is one of the Geometric sans serif typefaces. Each letterform is nearly monolinear, with optical corrections applied to stroke joints where necessary to maintain an even typographic color. Thanks to this range of font styles and the font’s open feel (as you can see in the loops of the “p” and “o” above), this font is great for both headlines and paragraph copy to improve readability and style. Good to use if your style is: - Playful - Modern - Natural - Professional
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EFFICIENT UI ELEMENTS TO REDUCE TIME CONSUMPTION Input Controls: checkboxes, radio buttons, dropdown lists, list boxes, buttons, toggles, text fields, date field Navigational Tools: breadcrumb, slider, search field, pagination, slider, tags, icons Informational Tools: tooltips, icons, progress bar, notifications, message boxes, modal windows
CHECKBOXES To select multiple options from a set. Useful for selecting predefined recurring amenities. RADIO BUTTONS Radio buttons are used to allow users to select one item at a time, for ‘this or that’ options. DROPDOWN LISTS Dropdown lists allow users to select one item at a time, similarly to radio buttons, but are more compact allowing you to save space. DROPDOWN BUTTON The dropdown button consists of a button that when clicked displays a drop-down list of mutually exclusive items. LIST BOXES List boxes, like checkboxes, allow users to select a multiple items at a time, but are more compact and can support a longer list of options if needed.
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TOGGLES A toggle button allows the user to change a setting between two states. This is most helpful for enteries such as ‘status’ to update them quicker. DATE AND TIME PICKERS A date picker allows users to select a date and/or time. The information is consistently formatted this way across all listings. SEARCH FIELD A search box allows users to enter a keyword or phrase (query) and submit it to search the index with the intention of getting back the most relevant results. Using AI, this can be used for searching synonyms as well. BREADCRUMBS Breadcrumbs allow users to identify their current location within the system by providing a clickable trail of proceeding pages to navigate by. This is most helpful for such a platform with cacading set of information. TAGS Tags allow users to find content in the same category. This could be used to quickly browse through categories such as ‘gated communities, active properties’, etc. SLIDER A slider, also known as a track bar, allows users to set or adjust a value for a range. Most helpful for changing parameters such as ‘lease rate’ etc. ICONS An icon is a simplified, fundamental image serving as an INTUITIVE symbol that is used to help users to navigate the system, making the process more digestable and quicker. IMAGE CAROUSEL Image carousels allow users to browse through a set of items and make a selection to view it in full size.
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PROGRESS BARS A progress bar indicates where a user is as they advance through a series of steps in a process. These would be very helpful in filling up the data of a single flat to know what percentage of data is filled ACCORDIAN tabs An accordion is a vertically stacked list of items/ clickable tabs that utilizes show/ hide functionality. When a label is clicked, it expands the section showing the content within. There can have one or more items showing at a time and may have default states that reveal one or more sections without the user clicking.
CARDS Cards are small rectangular or square clickable modules that contain different kinds of information—in the form of buttons, text, image, and so on. Cards are a great UI design choice to make smart use of the space available and present the user with multiple content and its description through icon/ image.
SIDEBAR/ HAMBURGER A sidebar displays a group of navigational actions or content on the side of a page. It can be visible or tucked away. This can help in getting an overview of all the sections of the web-application for easy navigation. STEPPER Steppers are two-segment controls that also let users adjust a value in predefined increments only. Best for entering short numbered data like number of bedrooms, bathrooms, etc.
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editing is easier number of clicking, typing, scrolling etc. reduced and made intuitive
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minimizing and compiling sources and stakeholders
maintaining status is faster
less things to keep in memory - less human error
dashboard to overview and browse easier to collaborate with other techncal officers
catalogue of all listings in a cascading manner
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HYPOTHESIS IN THE SOLUTION - testing To arrive at reducing the time-spent from 160 hours to 8 hours
As gathered from the wireframes, the number of clicks, number of typing, moving back and forth for information, scrolling, reviewing, etc has significantly reduced to enter the data in a staggered manner where the information details cascades, as compared to the linear data-entry as seen in the Google Sheets. This, in turn, helps to reduce time consumed to enter all the data. With the help of AI, covered in the next section, data extraction from sources and entry can also be significantly reduced.
As per a test conducted by me along with 2 other peers, we evaluated that while it was taking an average of 6-7 minutes to enter the data of a single flat from different sources in the Google Slides, it was observed to take unanimously 2-2.5 minutes to enter all the data for the same flat in the new platform designed.
This test was conducted using direct typing for the case of Google Slides for the template developed, and tapping on the screen to select relevant options, sliding in case of slider, typing in the few cases of typing on keyboard, etc. to simulate the approx. amount of time it would take to enter data in the new mechanism.
Harleen Dhawan
USING AI CAPABILTIES Information Extraction Using AI capabilities, certain features can be added that make the process of recording and updating certain parameters from various sources much easier, reducing repetitive and time-consuming manual entering tasks. Information extraction (IE) is the act of or task of automatically extracting structured information from unstructured and/or semi-structured, scattered digital documents and other electronically represented sources. Here, the project report shared by the builder acts as the biggest source of information for this task of listing. Natural Language Processing (NLP) is the Artificial Intelligence term, that is used to describe extracting information from unstructured texts using machine-learning algorithms. It analyzes unstructured texts for the interpretation of their meaning in an understandable format. Once the information is extracted, it can be directly used to categorize information and machine learning models (the web-application) to enhance their accuracy, efficiency and performance. This frees technical officer to focus on higher-value tasks, instead of processing documents and invoices manually.
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Named Entity recognition (NER)
Text Summarization
Identifies entities such as people, locations, organizations, dates, etc. from the text.
To summarize large chunks of text, using extraction , summary using parts of the text, and abstraction, creating summary by generating text that conveys the crux of the original text.
Could be used for: compiling data from scattered sources and auto-enter repetitive data across the platform area calculation
Could be used for: Maintenance requests feedback
Could be used for: address common amenities list
Could be used for: Maintenance requests
Could be used for: compiling data from different sources like project report.
Used in customer surveys, reviews and social media comments where people express their opinions and feedback. The simplest output coud be :positive/negative/neutral, active/inactive, urgent/moderately urgent/less urgent, calculated using the polarities of the words used.
It involves extracting aspects or features of an entity and figuring out opinions about those aspects. It’s a method of text classification that has evolved from SA and NER.
Intelligent software further won’t require templates, keywords, exact definitions, or indexing to get the job done. It extracts the right information and makes sense of a wide variety of documents on its own, regardless of format, language or symbols used.
Sentiment analysis (SA)
Aspect Mining
Synonym Matching search
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Automated data-entering AI can help reduce manual data-entering to a great degree. This can be achieved for direct enteries from sources such as project report, etc. to directly paste the extracted information using NLPs. For example, direct data filling could be for long datas such as- addresses, common amenities, contact details, name entry, long official documents, etc. These methods are not only limited to structured data but can also be applied to unstructured data such as logs, emails, etc. to extract useful information.
Automatic data generation Upload plan > automatic areas calculator/ generation Upload project report > automatic direction generation Upload address > Google maps > automatic connectivity description to hospitals, multiplexes, schools, etc. These methods are not only limited to structured data but can also be applied to unstructured data such as logs, emails, etc. to extract useful information.
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Recognizing patterns and predicting data Machine learning algorithms interpret and identify patterns from the extracted data, especially for recurring data, which can then be used for process improvements. Predictive analysis algorithms make use of forecasting and trend probabilities. The companies can make use of predictive modeling and analysis to even predict the user behavior while working on this platform to improve it further using the discovered feedback and generate different scenarios, identify data patterns, and easily recognize the trends - making it cost effective in the long-run.
Reducing / eliminating human-error Being an advanced technology, automated data extraction and filling will be significantly more accurate, leaving no scope for manual errors
Data classification and streamlined processes With classification, also known as document sorting, the software learns to recognize different types of documents after being given a few variations and examples. Just as a human can read through some sample documents and intuitively understand similarities and differences, it doesn’t need to see every single version of a contract or check request to recognize it.
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Analytics Machine learning’s biggest capability is ADAPTABILITY. Analytics and machine learning gives valuable information about the users and their in-app behavior such as the amount of time spent on a specific screen, number of clicks, amount of scrolling. This data would help you make better app decisions of improving the working of this designed web-application, to reduce as much manual work as possible, thus making it more efficient and cost effective as well.
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Thank You
Harleen Dhawan
harleen@1997@gmail.com +91 7207220840