How to overcome from project challenges? - 3) Lack of Clear Project Goals

Another common project management challenge is the lack of clear project goals and misalignment between goals and core business objectives.

This issue often arises due to poor planning.

This isn’t necessarily the fault of a project manager. In many cases, companies fail to put sufficient time and effort into not only properly planning projects but ensuring those projects are aligned with a business strategy or roadmap.

In some product based companies, to sell product lot of false commitment are given to get the contract by sales team. Once it come's to project manager, he get insufficient time to complete the project.

Goals should be clearly stated and realistic. You should also be able to show how every action taken moves you closer to achieving the goal. This means you can measure the impact of the team and individual project members.

SMART goal setting is the option to over come from the Lack of clear project goals.

The acronym “SMART” means specific, measurable, attainable, relevant, and time-bound.

CLEAR goal setting is the option to over come from the Lack of clear project goals.

Collaborative – Encourage teamwork

Limited – Set clear time and scope limits to make the project easier to manage

Emotional – Define goals that will appeal to the employees’ emotions and motivate them

Appreciable – Set intermediate goals that will be easier to achieve

Refinable – Set goals that can be refined according to the situations encountered along the way

Comments

New way of product development

Today is the era of fast-paced world and competitive world. Companies are realizing that the old sequential approach to developing new products won’t get the job done and product can’t be reached to market when compared to competitors. The 4 stages of product development are as follows – R&D, Growth, Maturation, and Decline. Instead of sequential approach, companies are using holistic approach – as in rugby game, the ball gets passed within the team as it moves as a unit up the field. This holistic approach has six characteristics: 1) Build-in-instability 2) Self-organizing project teams 3) Overlapping development phases 4) Multi-learning 5) Subtle (very clear and strong) control 6) Organizational change to explore and learning The above six characteristics forming a fast and flexible process for new product development with advantage of act as a change agent, creative, market driven ideas, flexi...

Product Manager vs Product Owner

Both the product manager and the product owner work towards a common goal, to build and improve products that create meaningful value for customers and all stakeholders within the company. This usually happens by delivering and optimizing product features. Product Manager Product Owner The product manager discovers what users need, prioritizes what to build next, and rallies the team around a product roadmap. The product owner is responsible for maximizing the value of the product by creating and managing the product backlog. This person creates user stories for the development team and communicates the voice of the customer in the Scrum process. Product Manager and Product Owner's work on below vacuum. Product manager focus on: Business Strategy Long term Product Vision Long term Product Strategy Product Roadmap Alignment with Product Owner Product owner focus on: Release Plan (Product Backlog ie: ...

Generative and Predictive AI - Artificial Intelligence

Generative and Predictive AI - Artificial Intelligence Generative AI: Generative AI (GenAI) is a type of artificial intelligence (AI) that can create new content. GenAI learns patterns from training data and uses this knowledge to generate new outputs. The new outputs have similar characteristics to the training data, but they don't repeat it. GenAI can create a variety of content, including: Images Videos Audio Text 3D models Music Speech Software code Product designs Here are some steps to build a GenAI: Benefits of GenAI: Makes informed decision Content creation and inspection Personalized experience Improved efficiency Automaton friendly Virtual guidance Disadvantages of GenAI: Generative AI can raise ethical questions about privacy, intellectual property, and misinformation. Generative AI models depend on the quality and diversity of their training data. Generative AI can't be completely trusted due to Incorrect facts and biased information. Generative AI is not me...

High-Tech Yuga

Search This Blog