This presentation is prepared by Aditya Bajaj for Product Manager Nanodegree by Udacity. This document is part of the Product Design phase. It includes 6 phases of the design sprint, like solution sketch, prototype, user research, etc.
2. Agenda
What are we planning to cover here:
1. Setting the stage
2. Running Design Sprint
2.1. Understand
2.2. Define
2.3. Sketch
2.4. Decide
2.5. Prototype
2.6. Validate
3. Wrapping Up
3.1. Iterate
3.2. Handoff
3. 1. Setting the stage
for the Design Sprint by framing
the problem
4. Initial PRD
PMND - Aditya Bajaj - Initial PRD v1
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5. 2. Running Design Sprint
to better understand the problem
and validate possible solution
7. How Might We
How might we
help graduates find
jobs
How might we
help graduates
know the skills
required for jobs
they want
How might we
help graduates
apply for the jobs
How might we
help graduates
build professional
network
How might we
help employers
post new jobs
How might we
allow graduates to
view company
profile
How might we let
employers
schedule
interviews with
candidate
How might we let
graduates
compare salaries
How might we
recommend
eligible candidates
to employers
How might we
educate graduates
about salary
expectations
How might we
speed up the hiring
process for
companies
How might we
simplify the hiring
process for
employers
How might we
recommend jobs
to graduates based
on their
preferences and
skills
How might we
provide support to
all users
How might we
allow graduates to
write reviews for
employers
How might we
allow graduates to
search and filter
the jobs based on
their preferences
How might we
allow employers to
view candidates
profile/ application
How might we
make it easier for
graduates to join
the new job
How might we let
employers create
multiple jobs
How might we
secure and honor
the privacy for
users
How might we
showcase
employers work
culture to
graduates
8. How might we
help users
evaluate job vs
grad school?
How might we
find recent
college grads?
How might we
provide resume
writing
assistance?
How might we
get college
graduates to
want to learn
about jobs
How might we
assess a user's
job preferences?
How might we
protect user
information?
How might we
evaluate user
profile
effectiveness?
How might we
improve user
profile quality?
How might we
help grads
assess job fit?
How might we
help colleges
grads learn what
jobs are really
like?
How might we
capture a user's
work style?
How might we
match skills with
employer needs?
How might we
facilitate
communication
between user
and employers?
How might we
figure out living
wage in a
geographic area?
How might we
find job
openings for
college grads?
How might we
figure out if a
person is looking
for a job?
How might we
share reviews
about
employers?
How might we
evaluate
employer profile
effectiveness?
How might we
help college
grads prioritize
their interests?
How might we
evaluate the
quality of a job?
9. How might we
give incentives
to get friends
using the app?
How might we
connect users
with mentors?
How might we
assess a user's
job skills?
How might we
connect users
from the same
schools?
How might we
assess
geographic
preferences?
How might we
create a
supportive
social network
for job seekers?
How might we
partner with
college career
centers?
How might we
help colleges
grads calibrate
their skills?
How might we
help college
grads identify
their
preferences?
How might we
choose when is
the right time to
have students
participate?
How might we
incentivize
students to use
the new app?
How might we
request
information
from
companies?
How might we
develop
partnership with
schools?
How might we
leverage existing
technologies?
How might we
build a reliable
data pipeline?
How might we
create accurate
matches?
How might we
create an
accurate and
reliable
recommendatio
n engine?
How might we
create a model
and account for
bias in our
model and job
areas?
How might we
use the data we
already have on
users?
How might we
get accurate and
timely job
market
information?
10. How might we
allow students
to discover their
passions?
How might we
help students
align their
passions to
available jobs?
How might we
motivate
students to
apply to jobs
based on their
interests?
How might we
help students
become more
aware of jobs
available to
them?
How might we
improve job
recommendatio
ns to users?
How might we
improve user
satisfaction?
How might we
gather user
feedback?
How might we
market our app
to users?
How might
improve
connection
recommendatio
ns based on
candidate’s
interest?
How might we
suggest Job
events/conferen
ce/fairs based
on candidate’s
interest?
How might we
recommend
professional
certifications,
courses,
conferences to
employees?
How might we
build and
improve
professional
mentorship
community?
How might we
incentivize our
paid
subscriptions
models?
How might we
improve the
salary
projections for
roles specific to
the
industry/locatio
n/experience?
11. Graduates - Job Search
How might we help
graduates find jobs
How might we
help graduates
apply for the
jobs
Preferences
How might we allow
graduates to view
company profile
How might we
allow graduates to
search and filter
the jobs based on
their preferences
How might we
motivate students to
apply to jobs based
on their interests?
How might we
help grads
assess job fit?
How might we
assess a user's job
preferences?
How might we help
college grads identify
their preferences?
How might we
help college grads
prioritize their
interests?
How might we
assess a user's
job skills?
How might we assess
geographic preferences?
How might we help students
become more aware of jobs
available to them?
How might we
share reviews
about employers?
Reviews
How might we
allow graduates
to write reviews
for employers
Apply for Jobs
How might we
educate
graduates
about salary
expectations
How might we let graduates
compare salaries
Salary
How might we
improve the salary
projections for roles
specific to the
industry/ location/
experience?How might we figure out living
wage in a geographic area?
12. Employer - Talent Search
How might we
help employers
post new jobs
Job Postings
How might we
speed up the
hiring process for
companies
How might we
simplify the hiring
process for
employers
How might we let
employers schedule
interviews with
candidate
How might we allow
employers to view
candidates profile/
application
How might we let
employers create
multiple jobs
How might we
match skills with
employer needs?
How might we get
accurate and timely
job market
information?
How might we
facilitate
communication
between user and
employers?
How might we find
job openings for
college grads?
Hiring
13. How might
we find
recent
college
grads?
How might we
recommend
eligible
candidates to
employers
Recommendations
Quality
How
might we
market
our app to
users?
How might we
recommend jobs to
graduates based on their
preferences and skills
How might we
create an
accurate and
reliable
recommendation
engine?
How might
we create
accurate
matches?
How might we
give incentives
to get friends
using the app?
How might we
partner with
college career
centers?
How might we
evaluate user
profile
effectiveness?
How might we improve
user profile quality?
How might we
evaluate
employer
profile
effectiveness?
How might we
figure out if a
person is looking
for a job?
How might we
evaluate the
quality of a job?
How might we
request information
from companies?
How might we
develop
partnership with
schools?
How might we
incentivize
students to use
the new app?
How might we
improve job
recommendations to
users?
How might we create
a model and account
for bias in our model
and job areas?
Value Added Services
On-boarding
14. How might we
create a
supportive social
network for job
seekers?
How might we
get college
graduates to
want to learn
about jobs
How might we help
graduates build
professional
network
How might we connect
users with mentors?
How might we help
graduates know the
skills required for
jobs they want
Skills
Networking
How might improve
connection
recommendations
based on
candidate’s
interest?
How might we
allow students
to discover
their passions?
How might we
recommend
professional
certifications,
courses,
conferences to
employees?
How might we
help students
align their
passions to
available jobs?
How might we
suggest Job
events/conference/f
airs based on
candidate’s interest?
How might we
help colleges
grads calibrate
their skills?
How might we
connect users
from the same
schools?
How might we
build and improve
professional
mentorship
community?
Engagement
15. Others
How might we
provide support to
all users
How might we
improve user
satisfaction?
How might we
gather user
feedback?
How might we
use the data
we already
have on users?
How might we
secure and honor
the privacy for
users
How might we
protect user
information?Technical
How might
we build a
reliable
data
pipeline?
How might we
leverage
existing
technologies?
How might we make it
easier for graduates to
join the new job
How might we
showcase employers
work culture to
graduates
How might we
incentivize our paid
subscriptions
models?
How might we
capture a user's
work style?
How might we help
colleges grads learn
what jobs are really
like?
How might we help
users evaluate job
vs grad school?
How might we
choose when is the
right time to have
students
participate?
Satisfaction
Others
How might we
provide resume
writing assistance?
16. Sprint Focus
Focus Graduates - Job Search
Slide # Slide # 12
I selected this theme
because
I have selected this theme because, this is the core
functionality and is the most important for graduates in
finding the job.
18. Success Metrics
Goals Signals Metrics
Happiness Get an interview Apply for a job Number of jobs applied for
Engagement Understand
company & Job
• Communicate with the
hiring manager
• View company profile
• Number of conversations
• Avg number of company
profiles visit per graduate
Adoption Grow professional
network
Add a connection Total number of connections
Retention Professional
Growth
Interacts with connections Avg number of interactions
per graduate
Task Success Get a job Confirmation from hiring
manager
Number of successful hiring
19. Learning to Earning™ - Press Release
Getting the job after you’ve successfully completed the graduation couldn’t be easier than this.
LinkedIn is offering a special platform for College Graduates to land their job of dreams without going
through thousands of openings, many of them are not even relevant. Knowing your job skills,
preferences, and aspirations is all it takes to suggest you the best opportunities available for you.
At the same time, employers and hiring managers can focus on growth of the company, hiring
experience, and other important goals, while LinkedIn Learning to Earning™ solves their problem of
finding the best talents.
Our advanced algorithm recommends graduates the best job opportunities, while also allowing them
to grow professionally by building meaningful connections and knowing the relevant skills for their
aspirations.
The world will not be same anymore… It’ll be better!
Finding the opportunities of your dreams
25. Decision
Decision Find & Apply Job
Slide # Slide # 23
Rationale
I have selected this sketch because this a key functionality
for the graduates. This will also be the most frequently used
feature of the portal.
28. Prototype
Description
● High level overview of the
prototype
● What does it do?
This prototype shows user interaction for job search on mobile
app:
● It allows user to signup/login.
● User is taken to home page where user is presented with some job
recommendations.
● User can search for jobs based on keywords and location.
● User can select a job to see the details and apply for a job.
Assumptions
● Any assumptions within the
prototype
User has created the detailed profile with skills and resume.
User is a verified user of the app.
There are jobs postings available on the platform
Tasks
● What are the tasks that a
user can complete in the
prototype?
A user can perform following tasks in this prototype
● see job recommendations
● search for job using keywords and location
● see job details for a job posting
● apply for a job posting
Link to my Figma
Prototype
30. Plan and recruit for research
Link to the research plan
The linked file is the
Research Plan that captures
the objective, methodology
and flow of the interview.
31. User Research
Link to audio
recording
Link to
notes
Key Findings from Participant 1
What worked well?
Loved the simplicity. Very user friendly. Easy to navigate.
● Easy login and sign up
● Easy to search, with job title
● Easy to apply in single click
Where participants
got stuck?
In the search, user tried to type the job. Because it’s not a
functional app, it didn’t allow to type rather took the default
keywords.
Other observations
● Loved the home page for it gets to the point
● Needs the filter to see only relevant jobs
32. User Research
Link to audio
recording
Link to
notes
Key Findings from Participant 2
What worked well?
Able to navigate throughout the app without any guidance.
● Easy to search, with job title
● Easy Apply at the top and bottom
● Finds very promising
Where participants
got stuck?
Not really stuck. Comfortably executed all tasks.
Other observations
● Job search by Educational qualification will be helpful, as
graduates not necessarily know their options for Job Titles.
● Ability to network with friends will be great tool
33. Feasibility
Your Assumptions Specific feasibility questions
Drawing the UI
● What data is needed to draw
the UI on the screen?
● Where is the data coming from
● Job postings are available in the
platform.
● Job details are stored in the system.
● Users have created their complete
profile
● How would we fetch the companies
logos?
● How could we fetch many search
results without slowing the
performance?
User generated data
● Is it stored?
● Where/how?
● How will that data be used
again?
● User’s login sessions will stored in the
local database for future audits.
● Job Search keywords will be stored for
improving the algorithm.
● Can we show last login sessions?
● How can we show recent searches and
the most searched keywords? By user
and users with similar profile?
Latency
● How quickly should things
load?
● Are there any operations that
might slow down load time (ie:
a call to another service)?
● Login and the home page should not
take more than 3 seconds.
● We can show many results and infinite
scroll option for the search results.
● How can we load the images without
slowing down the results?
36. Improvements
Improvement 1 Ability to filter jobs by experience/job level
Rationale
This was a critical feedback from the user. User would not want to go
through every jobs and then find out if it’s relevant or not. Having a filter will
greatly help to show only the relevant jobs.
Improvement 2 Ability to search jobs by Education or Degree
Rationale
This was an important feature for the user. User would like to explore many
job roles available as an Engineering Graduate. Search by job title might limit
the options. Currently, the user search for jobs by her degree.
37. Prototype v2
Description
● High level overview of the
prototype
● What does it do?
This prototype shows user interaction for job search on mobile
app:
● It allows user to signup/login.
● User is taken to home page where user is presented with some job
recommendations.
● User can search/filter for jobs based on keywords and location.
● User can select a job to see the details and apply for a job.
Assumptions
● Any assumptions within the
prototype
User has created the detailed profile with skills and resume.
User is a verified user of the app.
There are jobs postings available on the platform
Tasks
● What are the tasks that a
user can complete in the
prototype?
A user can perform following tasks in this prototype
● see job recommendations
● search for job using keywords(job title, education) and location
● Filter jobs by Educational Qualification, Job Experience Level
● see job details for a job posting and apply for a job posting
Link to my Figma
Prototype v2
39. Updated PRD
PMND - Aditya Bajaj - Updated PRD v2
Or
Copy paste below link in a browser:
https://docs.google.com/document/d/1PLbQGF88JrAF2Gy
WtuQjjL_vgMvk-aerx4odcbd4a-4/edit?usp=sharing
Open document