Product Lifecycle Management Activities


PRODUCT DISCOVERY (60% of total time):

1. Define the present stage, desired future stage, environmental scope and constraints.
 1.1. define industrial ecosystem and direct/indirect audience
 1.2. define the audience's struggles, executional/operational roadblocks
 1.3. define the problem focus area and required industrial/business constraints
 1.4. define the outlines of desired future stage as solution guiding principles.

2. Gather insights to define the problem statement and deliver proven hypothesis.
 2.0. conduct market research & subject specialist interviews, and perform user data & competitive analysis, to gather informations.
 2.1. perform market opportunity analysis
  - evaluate the market window: is it the right time to dev/launch? when will it become outof trends? what factors cause that?
 2.2. define hypothesis by using 
2.2.1. first principle thinking 
2.2.2. design thinking approach
2.2.3. issues tree/map approach
 2.3. prioritised hypothesis using
2.3.1. weighted metrics
2.3.2. solution guiding principles
2.3.3. ordering as business impact(RoI,MR), Ux, tech
 2.4. evaluate hypothesis with
2.4.1. user feedbacks, app store ratings, reviews
2.4.2. customer support issue logs and subject specialist feedback
2.4.3. user interviews and dummy functional prototype walkthrough
2.4.4. rapid mvp(prototypes) experiments.

3. Brainstroming (with wireframing) to discover solutions(having highest business impact) for proven hypothesis. 
- user experience designers, engineers and subject specialist

4. For chosen solutions, define product vision and principles

5. Articulate the product development, customer development, and commercialisation strategies
(Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI)

6. Calculate estimated RoI, resource(tech,manpower,time,budget) requirements and require operational process.


7. Work with engineers and UX designers to articulate over all solution design and translate it into product development roadmap.

8. Work with marketing, customer and business Ops teams to define activities and process require to launch product and support users throughout customer journey and product lifecycle. Translate them in to product marketing roadmap.

9. Define the north-star metrics and associated KPIs as tree. Now define OKRs for individual teams and assign the works to respective teams.

10. Evaluate goal achievements by tracking product and business metrics and KPIs.

11. Analyzing end to end PLM process, to identify and rectify gaps, roadblocks, and to monetize new opportunities.

Articulate a process across cross-functional department such as business, product, engineering, compliance, customer support for effective collaboration practices and traking of important milestones and activities. Evangelize the product and nurtures the knowledge sharing culture within organisation.


During PLM, I also take care of following additional activities :-

- User and Stakeholder interactions
- Functional and promotional content generations
- Product training process dev and workshops 
- Coaching and mentoring PMs
- Acquiring learnings through research and experimentation
- Promoting product in industrial events and public gathering
- Supporting customer success teams in resolving user queries


I use a systematic, iterative and efficient approach to solve complex problems, by:-
  • performing heavy research and analysis on market trends, competition, data, business process, user and stakeholder needs.
  • understanding the problem by breaking it into individual issues, generating, prioritizing and evaluating hypothesis (against user reviews, surveys, dummy functional demo or walkthroug, mvp experiemnts, inshights share by the subject experts, and direct customer interviews).
  • defining solution guiding principles, success metrics, abstract solution idea for proven hypothesis.
  • for chosen hypothesis, conducting a number of brainstorming sessions with subject experts, user experience designers, engineers, data scientist or business teams in order to come up with potential solutions.
  • defining RoI, priortisation principles, possile risk and mitigation plans for discovered solutions.


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