SaaStock 2019 - janna bastow

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SaaStock

Presentation deck from SaaStock 2019

Technology

Avoiding the Pitfalls of
Vanity Metrics
@simplybastow

Vanity metrics
Numbers or stats that look good on paper,
but don’t really mean anything important.

Hello!
I’m Janna Bastow
You can talk to me about product
or say hi at @simplybastow
Get the slides: bit.ly/vanity-metrics

(really big product management community)

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Time
Thingstodo
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Time
Feature A
Thingstodo
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Feature A
Thingstodo
Time
Feature B
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Feature A
Thingstodo
Feature B
Time
Feature C
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Thingstodo
Time Due dates & duration
ALL
THE
THINGS!
Designed to fail (and not in the good way)
Slides: bit.ly/vanity-metrics

Thingstodo
Time
ALL
THE
ASSUMPTIONS!
Full of assumptions
Slides: bit.ly/vanity-metrics

You assume you know how
much work and how long
each feature is going to
take.
Assumption #1
Time
Feature A
Feature B
Feature C
Slides: bit.ly/vanity-metrics

You assume that nothing else is
going to disrupt your timeline.
Assumption #2
Time
Slides: bit.ly/vanity-metrics

You assume that each
feature will work
as soon as it is
launched.
Assumption #3
✔
✔
✔
Slides: bit.ly/vanity-metrics

You assume that each of
these features actually
deserves to exist!
Assumption #4
✔
✔
✔
Slides: bit.ly/vanity-metrics

The grand assumption:
Nothing’s going to change.

Made up release dates
Development death marches
Mismanaged expectations
Missed market opportunities
Building the wrong thing
Sad team
What could possibly go wrong?
Slides: bit.ly/vanity-metrics

What kind of organisation are you?
Nimble
and lean
Slow and risk-averse
Slides: bit.ly/vanity-metrics

What kind of organisation are you?
Discovery led Capitalizing on market
Slides: bit.ly/vanity-metrics

What kind of organisation are you?
Experimentation-driven Ruled by vanity metrics
Slides: bit.ly/vanity-metrics

Just keep growing...
Slides: bit.ly/vanity-metrics

Best route to predictability
=
Small manageable chunks

Counterintuitive Business Decisions
Slides: bit.ly/vanity-metrics

Proﬁt Center vs Cost Center
Slides: bit.ly/vanity-metrics

Mis-incentivised Product development / R&D

OUTCOME
output
Slides: bit.ly/vanity-metrics

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Slides: bit.ly/vanity-metrics

It’s a trap!
Slides: bit.ly/vanity-metrics

Product Life Cycle You are here
Introduction DeclineMaturityGrowth
Salesvolume/Usage
Slides: bit.ly/vanity-metrics

Large corporations struggle to grow
Walmart <1%
Ford <0%
Coca Cola <0%
Dow Chemical <0%
Via Janice Fraser - @clevergirl
Slides: bit.ly/vanity-metrics

Local maximum
True maximum
Slides: bit.ly/vanity-metrics

Find maximum value
Break out of local maxima
Slides: bit.ly/vanity-metrics

Innovation requires taking risks
Break out of local maxima

Chart that shows companies from 20 years ago vs today

“Every company that ever has or
does exist, will one day go bust.
It’s just a matter of when.”

Ditch yourtimelineroadmap
Further reading on ditching your timeline roadmap:
www.bit.ly/growing-up-lean

Ditch vanity metrics
Ditch vanitymetrics
Ditch vanity
metrics

Thank you!
I’m Janna Bastow
Let’s go for or and talk product
to @simplybastow or janna@prodpad.com
Slides: bit.ly/vanity-metrics

From Vanity Metrics to Effective Product Culture Watch the talk: https://businessofsoftware.org/talks/ Ditch your timeline roadmap - it’s setting you up for failure! The further out you plan, the more you put on there, that timeline sits at the top, always marching forward, no matter what you put on the roadmap, everything always includes a due date and a time estimate. As a result, you end up with a big pile of features, a big pile of due dates, all based on this big pile of assumptions. You assume you know how much work and how long each feature is going to take. You assume that nothing else is going to disrupt your timeline. You’re also assuming that nothing else is going to come in to mess up your timeline - no changes in the market, no new competitors, no fresh ideas coming from customers, no need for iteration. You assume that each feature will work as soon as launched. You assume that each of these features actually deserves to exist! What could possibly go wrong? Well, you end up creating all these made up release dates, which force your developers on stressful marches to launch on time, and you give your sales and customers expectations you often can’t meet, while usually being blind to great opportunities in the market, and downright building the wrong things. And this leads to you, being a sad product manager. Vicious cycle Big buffers, slow work Blame culture Tighter controls, less freedom Quality suffers, problems go unsolved And it creates a vicious cycle that can be hard to get out of. Here's what you can do...

Janna Bastow - Growing Up Lean

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Building an MVP and launching a product is the easy part. It's more difficult to manage a product in its maturity or decline stages, and so in this talk, Janna Bastow tackles the challenge head-on. Join Janna as she talks through the challenges of a product that's past its initial growth stage, for tips on: - How to avoid becoming a feature factory, while taming your beast of a backlog - How to use your roadmap to drive experimentation to hit company objectives - How to disrupt yourself before someone else does

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Building a product can help your business scale to incredible heights, but too many teams get stuck in what Janna Bastow calls the Agency Trap. In this talk, she’ll share signs you’re veering into this trap, and actionable guides on how to get out and stay out! About Janna Janna Bastow is co-founder of ProdPad , product management and roadmapping software for product people. Janna is also co-founder of ProductTank and Mind the Product, a global community of product managers. She often starts and stops conversations with the question: “What problem are you trying to solve?”

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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

Free Complete Python - A step towards Data Science

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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI

Vladimir Iglovikov, Ph.D.

Presented by Vladimir Iglovikov: - https://www.linkedin.com/in/iglovikov/ - https://x.com/viglovikov - https://www.instagram.com/ternaus/ This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation. Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners. This case study covers various aspects, including: People: The contributors and community that have supported Albumentations. Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions. Challenges: The hurdles in monetizing open-source projects and measuring user engagement. Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration. Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community. Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations. Mental Health: Maintaining balance and not feeling pressured by user demands. Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth. Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects. Explore more about Albumentations and join the community at: GitHub: https://github.com/albumentations-team/albumentations Website: https://albumentations.ai/ LinkedIn: https://www.linkedin.com/company/100504475 Twitter: https://x.com/albumentations

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The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing. One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.

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SaaStock 2019 - janna bastow

1. Avoiding the Pitfalls of Vanity Metrics @simplybastow

2. Vanity metrics Numbers or stats that look good on paper, but don’t really mean anything important.

4. Hello! I’m Janna Bastow You can talk to me about product or say hi at @simplybastow Get the slides: bit.ly/vanity-metrics

5. (really big product management community)

6. (really nice product management tool)

7. Ditch yourtimelineroadmap

8. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

9. Time Thingstodo Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

10. Time Feature A Thingstodo Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

11. Feature A Thingstodo Time Feature B Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

12. Feature A Thingstodo Feature B Time Feature C Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

13. Feature A Thingstodo Feature B Time Feature C Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

14. Thingstodo Time Due dates & duration ALL THE THINGS! Designed to fail (and not in the good way) Slides: bit.ly/vanity-metrics

15. Thingstodo Time ALL THE ASSUMPTIONS! Full of assumptions Slides: bit.ly/vanity-metrics

16. You assume you know how much work and how long each feature is going to take. Assumption #1 Time Feature A Feature B Feature C Slides: bit.ly/vanity-metrics

17. You assume that nothing else is going to disrupt your timeline. Assumption #2 Time Slides: bit.ly/vanity-metrics

18. You assume that each feature will work as soon as it is launched. Assumption #3 ✔ ✔ ✔ Slides: bit.ly/vanity-metrics

19. You assume that each of these features actually deserves to exist! Assumption #4 ✔ ✔ ✔ Slides: bit.ly/vanity-metrics

20. The grand assumption: Nothing’s going to change.

21. Made up release dates Development death marches Mismanaged expectations Missed market opportunities Building the wrong thing Sad team What could possibly go wrong? Slides: bit.ly/vanity-metrics

22.

23. You might be an enterprise if...

24. What kind of organisation are you? Nimble and lean Slow and risk-averse Slides: bit.ly/vanity-metrics

25. What kind of organisation are you? Discovery led Capitalizing on market Slides: bit.ly/vanity-metrics

26. What kind of organisation are you? Experimentation-driven Ruled by vanity metrics Slides: bit.ly/vanity-metrics

27. So what’s going on in these companies?

28. Shareholder value

29. Just keep growing... Slides: bit.ly/vanity-metrics

30. Predictability is King

31. Best route to predictability = Small manageable chunks

32. Sales R&D HR Marketing

33. Slides: bit.ly/vanity-metrics

34. Counterintuitive Business Decisions Slides: bit.ly/vanity-metrics

35. Sales R&D HR Marketing

36. Proﬁt Center vs Cost Center Slides: bit.ly/vanity-metrics

37. Vanity metrics per division

38. Mis-incentivised Product development / R&D

39. OUTCOME output Slides: bit.ly/vanity-metrics

40. JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Slides: bit.ly/vanity-metrics

41.

42. No room for discovery

43. Mis-incentivised Sales / Marketing

44. Shady/lazy acquisition tactics

45. Have a North Star Metric

46.

47. Less is more

48. Slides: bit.ly/vanity-metrics

49. It’s a trap! Slides: bit.ly/vanity-metrics

50. Product Life Cycle You are here Introduction DeclineMaturityGrowth Salesvolume/Usage Slides: bit.ly/vanity-metrics

51. Large corporations struggle to grow Walmart <1% Ford <0% Coca Cola <0% Dow Chemical <0% Via Janice Fraser - @clevergirl Slides: bit.ly/vanity-metrics

52. Local maximum True maximum Slides: bit.ly/vanity-metrics

53. Find maximum value Break out of local maxima Slides: bit.ly/vanity-metrics

54. Innovation requires taking risks Break out of local maxima

55. Chart that shows companies from 20 years ago vs today

56. Via Suzie Prince - @pm_suzie

57. “Every company that ever has or does exist, will one day go bust. It’s just a matter of when.”

58. Build in experimentation

59. Be a Netflix in a world of Blockbusters

60. Ditch yourtimelineroadmap Further reading on ditching your timeline roadmap: www.bit.ly/growing-up-lean

61. Ditch vanity metrics Ditch vanitymetrics Ditch vanity metrics

62. Measure experiments, not features

63. Speak likean Exec

64. Thank you! I’m Janna Bastow Let’s go for or and talk product to @simplybastow or janna@prodpad.com Slides: bit.ly/vanity-metrics

SaaStock 2019 - janna bastow

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