This is the result of a research study conducted in Pivotal Chicago office to discover the metrics of product success, prioritization on product decisions and the overall key learnings and feedback from the user interviews conducted.
Panaseer Sr. PM on How to Use Data as a Product ManagerProduct School
Main takeaways:
- Importance of informing your decisions with data
- Know the difference between qualitative and quantitative data, when to use it and how to adjust it
- The importance of knowing how to perform proper usability testing and why to expose this to your entire team so they see first - hand how users interact with your product
Data Con LA 2020
Description
*How to create data driven product roadmaps that focus on building high value features?
*How to manage data analysts and within the Product organization?
*How to manage analysis requests from all stakeholders?
*How to present data analysis deliverables to product managers and executives?
Speaker
Alex Alwan, Fox Networks Group, Sr. Product Manager, Product Strategy
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
How to Use Data for Product Decisions by YouTube Product ManagerProduct School
With millions of new data points every moment, how are Product Managers expected to make sense of it all? This talk outlined the steps required to distill and synthesize data to drive actionable product decisions. The most effective Product Managers are those who know their data: they can justify product priority and roadmap changes, calibrate resource asks and manage their own time more effectively. This lecture equipped the audience with the tools necessary to draw insight from unstructured data using Google’s cloud analytics suite.
Are you about to launch a new CRO program?
The first 30 days are pivotal for your long-term success. There’s a lot of pressure to demonstrate value quickly, which isn’t easy. The process is far more complicated than it seems and can only be tackled with a well-thought-out plan.
Our expert for this session, Joe Johnston, is the Head of Conversion at Launch, and he understands the common challenges that often arise when you kickstart a CRO program. Fortunately, he also knows how to mitigate them. In this webinar, he will share methods for gaining trust from key stakeholders and laying the foundations for collecting robust (valid) data, which is crucial in the first phase.
Panaseer Sr. PM on How to Use Data as a Product ManagerProduct School
Main takeaways:
- Importance of informing your decisions with data
- Know the difference between qualitative and quantitative data, when to use it and how to adjust it
- The importance of knowing how to perform proper usability testing and why to expose this to your entire team so they see first - hand how users interact with your product
Data Con LA 2020
Description
*How to create data driven product roadmaps that focus on building high value features?
*How to manage data analysts and within the Product organization?
*How to manage analysis requests from all stakeholders?
*How to present data analysis deliverables to product managers and executives?
Speaker
Alex Alwan, Fox Networks Group, Sr. Product Manager, Product Strategy
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
How to Use Data for Product Decisions by YouTube Product ManagerProduct School
With millions of new data points every moment, how are Product Managers expected to make sense of it all? This talk outlined the steps required to distill and synthesize data to drive actionable product decisions. The most effective Product Managers are those who know their data: they can justify product priority and roadmap changes, calibrate resource asks and manage their own time more effectively. This lecture equipped the audience with the tools necessary to draw insight from unstructured data using Google’s cloud analytics suite.
Are you about to launch a new CRO program?
The first 30 days are pivotal for your long-term success. There’s a lot of pressure to demonstrate value quickly, which isn’t easy. The process is far more complicated than it seems and can only be tackled with a well-thought-out plan.
Our expert for this session, Joe Johnston, is the Head of Conversion at Launch, and he understands the common challenges that often arise when you kickstart a CRO program. Fortunately, he also knows how to mitigate them. In this webinar, he will share methods for gaining trust from key stakeholders and laying the foundations for collecting robust (valid) data, which is crucial in the first phase.
Over the past several years, the lean startup movement has made the Minimal Viable Product (MVP) a key approach to incrementally discovering effective products and services. In this talk, Levent Gurses will discuss a 5 step MVP process for building great minimum viable products that's been used in real client engagements. His process has been developed working with more than 20 enterprise full-stack and mobile clients over the course of several years. Topics will include the challenges of creating the MVP vision, scoping the activity, what should an MVP cost in time and money, and what should you have when you are “done”. Not only sharing his tales of MVP development, he will provide insights in how he's developed methods to effectively drive vision and development execution.
What is an MVP?
A product that has the absolute minimal set of core features necessary to prove a hypothesis, generally linked to commercial success or market validation. The MVP seeks the highest return on investment versus risk.
The Rise of the Lean Startup Movement
The lean startup movement came about as a result of analysis of many startup successes and failures. Development timeframes have become shorter and customer engagement has increased, which is helping companies better product-market fit and a path to success.
Presentation Outline:
• The MVP Vision (What will I have at the end of the effort?)
• Brief history of the lean startup movement
• Scoping
• Budgeting for MVP
• Features: The MVP Way
• Essential vs. peripheral features
• Must have to prove a hypothesis vs. nice to have
• Assembling a team
• Hiring contractors or vendor firms to build the MVP
• Choosing a technology
• Fake it until you make it: How to create mock features for an MVP
Presenter
Levent Gurses - Developer, speaker, and entrepreneur, Levent is the founder www.movel.co, an enterprise mobility company based in Virginia. He’s a nationally-recognized leader in mobile technologies and is a frequent speaker at tech communities on mobile and full-stack development. Levent holds a BS in Computer Engineering and is a Certified ScrumMaster and Certified Product Owner.
What Are the Road Mapping Essentials by former Capital One PMProduct School
Product road mapping is an art, one that requires a strong pulse on the state of the business, your customers and stakeholders. Road maps are meant to provide a clear path towards reaching the business objectives giving transparency and predictability to anyone involved on the team. But how often have you heard “Hey, we are agile, we don’t need a roadmap”; or the opposite “Hey, this feature was on the roadmap, but why haven’t you delivered?”.
In this session, Angela Govila, former Product Manager at Capital One, talked about how to handle both of these situations and everything in between, by diving deep into the basics of how to conduct road mapping sessions.
This presentation was provided by Bill Trippe of Publishing Technology Partners, during the NISO event "Project Management for the Information Community: Managing and Communicating the Process, Session Six," held on Friday, March 29, 2019.
Creating a Data Driven L&D Team - an xAPI Case Study - DevLearn 2018Margaret Roth
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
In this case study session, you will see how the organization’s L&D team created an xAPI data roadmap to not only achieve early wins when it came to the executive business objectives but also begin work on a scalable plan to build out a modern, flexible ecosystem that has the needs of learners at its center.
* Originally presented on 10/25/18 at DevLearn by Allie Tscheulin and Margaret Roth
With the expertise of our CEO, we've put together a webinar about MVP readiness. If you're low on time, budget, and resources, build a lean solution. A minimum viable product has enough design and development to launch within a shorter time frame. Not only do you save time and money, you'll be able to make iterations and versions post-launch.
See how to prepare for an MVP with Ali Allage, the CEO of Boost Labs.
For more about MVPs, contact us!
What Is Data-Driven Product Development by Aaptiv Senior PMProduct School
In this talk, we talked about how to implement a full cycle of collaborative, data-driven product development. Lisa explained how to use qualitative and quantitative research to make product decisions, and how to facilitate design and ideation workshops to encourage team problem solving. This talk went deep into real-world case studies from the digital fitness space.
Start With Why: Ask the "Right" Questions: Your Analytics-Guided Product Stra...Aggregage
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. It's not the technology, and it's not the tactics. In most cases, it's our approach that's misguiding us! Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.
Start With Why: Ask the "Right" Questions: Your Analytics-Guided Product Stra...BrittanyShear
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. It's not the technology, and it's not the tactics. In most cases, it's our approach that's misguiding us! Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.
With so much noise and buzzwords floating around regarding data analytics, it can be rather difficult to decipher between the signal (what is worthwhile) and what is only talk. Sometimes the rhetoric even starts within your organization, confounding the issue further. During Andrew’s session, he will provide attendees with the knowledge they need to tune out the bogus information while gleaning valuable insights for developing and deploying their audit analytics program. The presentation will conclude with tangible examples of a successful Manufacturing Audit Analytics program, and recommendations for how to get yours up and running. After attending, participants will be able to articulate how steps for setting up an analytics program within their departments, as well be armed with knowledge for educating senior leadership on the fundamental changes in technology that are occurring, and what is just marketing.
A keynote to help people involved in software product development to execute the right agile and lean practices in order to see a successful relationship among stakeholders.
How to Use Competitive Analysis and Strategy by YouTube PMProduct School
In the presentation, Joao Fiadeiro, discusses:
-What the key elements of strategy are: from the competitive landscape and growth strategy to business model
-How to identify the competitive landscape for a sector/industry using all the resources at our disposal; estimating a products revenue and usage
-The fundamentals of strategic thinking and how it should inform a product roadmap
My slides for my talk regarding machine learning and data science. Includes working examples with accompanying repo with reproducible code and data sets available.
The current COVID-19 climate has affected UX research in many ways, including changes to process, methods, and tools. As a field, we've had to adapt to doing fully remote collaboration and research.
In this talk, I will be walking through why now is a great time to conduct strategic research, how research has changed because of COVID, and best practices for conducting remote strategic research during this time.
I hope you will walk away from this talk feeling empowered to continue on your innovation journey!
Elevating the Business Analyst with the lens of Human Centered Design Thinking.
Learn how Human Centered Thinking and User Experience Design can directly address common software pitfalls.
Over the past several years, the lean startup movement has made the Minimal Viable Product (MVP) a key approach to incrementally discovering effective products and services. In this talk, Levent Gurses will discuss a 5 step MVP process for building great minimum viable products that's been used in real client engagements. His process has been developed working with more than 20 enterprise full-stack and mobile clients over the course of several years. Topics will include the challenges of creating the MVP vision, scoping the activity, what should an MVP cost in time and money, and what should you have when you are “done”. Not only sharing his tales of MVP development, he will provide insights in how he's developed methods to effectively drive vision and development execution.
What is an MVP?
A product that has the absolute minimal set of core features necessary to prove a hypothesis, generally linked to commercial success or market validation. The MVP seeks the highest return on investment versus risk.
The Rise of the Lean Startup Movement
The lean startup movement came about as a result of analysis of many startup successes and failures. Development timeframes have become shorter and customer engagement has increased, which is helping companies better product-market fit and a path to success.
Presentation Outline:
• The MVP Vision (What will I have at the end of the effort?)
• Brief history of the lean startup movement
• Scoping
• Budgeting for MVP
• Features: The MVP Way
• Essential vs. peripheral features
• Must have to prove a hypothesis vs. nice to have
• Assembling a team
• Hiring contractors or vendor firms to build the MVP
• Choosing a technology
• Fake it until you make it: How to create mock features for an MVP
Presenter
Levent Gurses - Developer, speaker, and entrepreneur, Levent is the founder www.movel.co, an enterprise mobility company based in Virginia. He’s a nationally-recognized leader in mobile technologies and is a frequent speaker at tech communities on mobile and full-stack development. Levent holds a BS in Computer Engineering and is a Certified ScrumMaster and Certified Product Owner.
What Are the Road Mapping Essentials by former Capital One PMProduct School
Product road mapping is an art, one that requires a strong pulse on the state of the business, your customers and stakeholders. Road maps are meant to provide a clear path towards reaching the business objectives giving transparency and predictability to anyone involved on the team. But how often have you heard “Hey, we are agile, we don’t need a roadmap”; or the opposite “Hey, this feature was on the roadmap, but why haven’t you delivered?”.
In this session, Angela Govila, former Product Manager at Capital One, talked about how to handle both of these situations and everything in between, by diving deep into the basics of how to conduct road mapping sessions.
This presentation was provided by Bill Trippe of Publishing Technology Partners, during the NISO event "Project Management for the Information Community: Managing and Communicating the Process, Session Six," held on Friday, March 29, 2019.
Creating a Data Driven L&D Team - an xAPI Case Study - DevLearn 2018Margaret Roth
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
In this case study session, you will see how the organization’s L&D team created an xAPI data roadmap to not only achieve early wins when it came to the executive business objectives but also begin work on a scalable plan to build out a modern, flexible ecosystem that has the needs of learners at its center.
* Originally presented on 10/25/18 at DevLearn by Allie Tscheulin and Margaret Roth
With the expertise of our CEO, we've put together a webinar about MVP readiness. If you're low on time, budget, and resources, build a lean solution. A minimum viable product has enough design and development to launch within a shorter time frame. Not only do you save time and money, you'll be able to make iterations and versions post-launch.
See how to prepare for an MVP with Ali Allage, the CEO of Boost Labs.
For more about MVPs, contact us!
What Is Data-Driven Product Development by Aaptiv Senior PMProduct School
In this talk, we talked about how to implement a full cycle of collaborative, data-driven product development. Lisa explained how to use qualitative and quantitative research to make product decisions, and how to facilitate design and ideation workshops to encourage team problem solving. This talk went deep into real-world case studies from the digital fitness space.
Start With Why: Ask the "Right" Questions: Your Analytics-Guided Product Stra...Aggregage
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. It's not the technology, and it's not the tactics. In most cases, it's our approach that's misguiding us! Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.
Start With Why: Ask the "Right" Questions: Your Analytics-Guided Product Stra...BrittanyShear
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. It's not the technology, and it's not the tactics. In most cases, it's our approach that's misguiding us! Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.
With so much noise and buzzwords floating around regarding data analytics, it can be rather difficult to decipher between the signal (what is worthwhile) and what is only talk. Sometimes the rhetoric even starts within your organization, confounding the issue further. During Andrew’s session, he will provide attendees with the knowledge they need to tune out the bogus information while gleaning valuable insights for developing and deploying their audit analytics program. The presentation will conclude with tangible examples of a successful Manufacturing Audit Analytics program, and recommendations for how to get yours up and running. After attending, participants will be able to articulate how steps for setting up an analytics program within their departments, as well be armed with knowledge for educating senior leadership on the fundamental changes in technology that are occurring, and what is just marketing.
A keynote to help people involved in software product development to execute the right agile and lean practices in order to see a successful relationship among stakeholders.
How to Use Competitive Analysis and Strategy by YouTube PMProduct School
In the presentation, Joao Fiadeiro, discusses:
-What the key elements of strategy are: from the competitive landscape and growth strategy to business model
-How to identify the competitive landscape for a sector/industry using all the resources at our disposal; estimating a products revenue and usage
-The fundamentals of strategic thinking and how it should inform a product roadmap
My slides for my talk regarding machine learning and data science. Includes working examples with accompanying repo with reproducible code and data sets available.
The current COVID-19 climate has affected UX research in many ways, including changes to process, methods, and tools. As a field, we've had to adapt to doing fully remote collaboration and research.
In this talk, I will be walking through why now is a great time to conduct strategic research, how research has changed because of COVID, and best practices for conducting remote strategic research during this time.
I hope you will walk away from this talk feeling empowered to continue on your innovation journey!
Elevating the Business Analyst with the lens of Human Centered Design Thinking.
Learn how Human Centered Thinking and User Experience Design can directly address common software pitfalls.
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2. Table of Contents
● Introduction
○ The Who? The What? And Why?
○ Story time
○ Pivotal Tracker Quick facts
● Methodology
○ Study Population and Sampling
○ Data Collection
○ Competition Analysis
● Results
○ Statistical Analysis
○ Top Learnings
○ Limitations
● Conclusion
○ Top Recommendations
○ Future Research
○ Reflexions
4. Cover w/ Image
The Who? The What? And Why?
Who?
● I'm Paulina, a product designer from Pivotal Labs
working for the Chicago Office
What?
● A quantitative and qualitative research study about
Pivotal Chicago's use of Tracker.
Why?
● To test quantitative frameworks for user research.
● To practice and polish user interviewing and research
skills.
● Identify areas for improvement
● How does Tracker stack up to similar tools in the
market?
5. Story time
● Everything started as a beach project with the personal goal of practicing and polishing
interviewing and researching skills.
● After talking with pivots and clients in the Chicago office I observed excitement to talk
about the product and that created more motivation.
● When I met the product team in Denver, I was inspired by their process, attention to
detail, passion and willingness to take action on the next version of Pivotal Tracker.
● Then my research had a new purpose: it turned into a more meaningful collaboration
with the product team where I would share my findings as an addition to their own
plans and workflows.
6. Pivotal Tracker Quick Facts
What I know
● Core project management and planning tool for products in
the Pivotal Chicago office
● Created 14 years ago to deliver agile software solutions
● Has about 100,000 active users and is supported by 30
people in Denver
● The 14-year old tech stack is difficult to maintain; it’s
challenging to release major features frequently
8. Study Population and Sampling
Total People interviewed: 20
+- 25% participation of the Chicago population
+- 0.7% participation of the entire organization
● Pivots: 16 people
○ 5 Designers
○ 3 Engineers
○ 8 Project Managers
● Clients: 4 people
○ 4 Project Managers
Chicago Office: 47+ labs
pivots
Pivots: 16
Clients: 4
9. Cover w/ Image
Data Collection
Artifacts and process
● Initial research on the target users,
competition analysis and some market
trends.
● Gathered information from Pivotal Tracker
product team (Lisa Doan, Matthew Gist
and Sara Mcwhorter) to get a sense on the
current status of the tool, main concerns,
next steps and context.
● 20 interviews in 7 days at the Chicago
Office.
10. Competition Analysis and Market Research
● Supports web and iphone.
● Pricing starting from $12.50/month
● 30-days free trial.
● No credit card required
● Subscription based
● Main Features: API, Agile Development,
Estimating, prioritizing, projections.
11. Competition Analysis and Market Research
● Supports web, iphone and
android.
● Pricing starting from
$10.00/month
● Free trial available
● No credit card required
● Subscription based
● Main Features: API, Activity
dashboard, Activity tracking,
estimating, project tracking,
projection, third party
integration.
● Supports web and iphone
● Pricing starting from FREE for
up to 10 users
● Free trial available
● No credit card required
● Subscription based
● Main Features: API, Agile
Development, Prioritizing,
Projections.
● Supports web, iphone and
android
● It provides a knowledge base
and video tutorials.
● Pricing starting from FREE
● Free trial available
● No credit card required
● Subscription based
● Main Features: API, Agile
Development, Activity
Dashboard, collaboration tools
Prioritizing, Projections, Third
party integration
31. Feedback Results: User Education / Training
Pivotal Tracker
Feedback
(337 comments)
User Education
/ Training
15 comments
Usability
71 comments
New features
requests
93 comments
General
Positive
76 commentsGeneral
Negative
82 comments
32. Feedback Results: User Education / Training
User
Education /
Training
15 comments
Top Theme
Learning
/Training
34. Feedback Results: New Features Requests
Pivotal Tracker
Feedback
(337 comments)
User Education
/ Training
15 comments
Usability
71 comments
New features
requests
93 comments
General
Positive
76 commentsGeneral
Negative
82 comments
35. Feedback Results: New Features Requests
New
features
93
comments
82
comments
General
Interface
50
Top 3 Themes
Stories
24
Analytics
14
45. Interpretation of Results
New Features Requests
Learnin
g/Traini
ng
Training
Genera
l
Interfac
e
24
Usability
Stories
24
Analyti
cs
7
Search
7
General Negative
Genera
l
Interfac
e
50
Stories
24
Analyti
cs
14
Genera
l
Interfac
e
43
Stories
8
Analyti
cs
9
General Positive
Genera
l
Interfac
e
54
Stories
12
Analyti
cs
5
48. Top Learnings
● Top 3 categories for room for improvement and new features requests:
○ User Interface
○ Story module
○ Analytics section
● UI redesign and better colors. It is really hard to read.
● Chrome plugin for highlighting tags should be part of Tracker.
● Story template picker on the top of the story window.
● We need more robust velocity metrics.
● We need more flexibility to interact with dates in Analytics section.
● Markdown text is really hard to use.
● There are no instructions nor training to start using the tool.
● There is no way to deeply track stories: Which stories were released on which build?
● Search results don't give you context about where the story is located and when it was released.
49. Cover w/ Image
● These are the results for interviewing
clients and pivots only from the Chicago
office.
● Different mindsets, processes and
usage across the different practices.
● There were time constraints to have a
deeper exploration of major pain points
(10 mins limit for each interview)
Limitations
51. ● Better and more friendly user interface.
● Improve colors for readability.
● Chrome plugin to highlight tags should be part of Tracker.
● Dashboard view as a landing page to have an overall view of the status of the project
● Need Story's Template selector.
● More robust analytics, better graphics and advanced filters (by date range).
● Search is not visible and more advanced functionality to find stories.
● There is no way to track stories per release or build.
● There is a need to add more training resources and online guides for non experienced
and intermediate users.
Top Recommendations
52. ● Get more feedback from pivots and clients from the other offices.
● Analyze feedback from the rest of the offices, find patterns and prioritize major pain
points.
● Create a visual and functional prototype to incorporate user feedback and adapt the
prototype accordingly.
● Best practices to define a plan for major feature releases.
Future Research
53. ● What is the goal of the product for the long term?
○ What is missing to get there?
● Robust sentiment analysis, research and feedback across the different offices.
● Minimum efforts, maximum impact: Prioritize offices that use tracker and implement
usage analytics per influence and practice.
● ROI analysis: How much money do we want to spend according to the product goals
and when can we get the profits of that investment?
○ Marketing campaigns
○ Promotions and customer offers
○ Customer service
● What would be the best place to be if Tracker improves as a product and business
unit?
Reflexions
57. Story time
● Everything started as a beach project with the personal goal of practicing and polishing my interviewing and researching skills.
● After talking with pivots and clients in the Chicago office I observed excitement to talk about the product and took this as a good
opportunity to express their thoughts and feedback in a more direct way.
● When I met the product team in Denver, I was inspired by their process, attention to detail, passion and willingness to take
action on the next version of Pivotal Tracker.
● Then my research had a new purpose: it turned into a more meaningful collaboration with the product team where I would
share my findings with the hope that my research serves as an addition to their own plans and workflows.
● I expect to contribute with the Pivotal Tracker product team by:
﹢ How Pivotal Tracker is being measured, the process around new features implementation and how these changes take
priority over the others and general workflow processes.
﹢ Bring more ideas to the table so the product team has different perspectives and impressions on how the tool is being
used.
﹢ Patterns of how the customer service experience could improve based on people most common trends.
58. Data Collection
Interview Scripts
The interview scripts were designed to discover feedback and opinions held by
the Chicago users with mind set to answer the following questions:
● How are users using the tool?
● What are the user motivations?
● What do they find most engaging?
● What are the main pain points?
● Impressions about the overall look and feel
● What would be the next feature the Pivotal Tracker product team should
implement in the next release?
The challenge
I wanted to get answers to these
questions keeping a conversational
mood for the interview knowing that
I had to get most of the information
in a conversation no longer than 10
minutes (And we nailed it!).
59. Competition Analysis and Market Research
According to the main competitors in the market and based on customer feedback, these
are some of the most relevant competitors mentioned during the interviews in Chicago.
References
Full comparison:
https://www.getapp.com/project-management-planning-software/a/jira/compare/pivotal-tracker-vs-rally-software-agile-project-ma
nagement-vs-trello/
Rally: https://project-management.com/rally-software-review/
Rally: https://www.ca.com/us/products/agile-planning.html?intcmp=headernav
Trello: https://trello.com/about