LigaAI: From the dimensions of efficiency, measurement and value, become an intelligent doctor for the R&D team

This year is the third year of LigaAI.

In the past more than a thousand days and nights, we have received a lot of attention, overcome many difficulties, and fortunately won the favor of many customers. While steadily refining products and improving service capabilities, we always keep in mind the responsibility of "customer success" to achieve efficient R&D collaboration.

What does "customer success" look like in the eyes of LigaAI? As a project collaboration platform for developers, in what way will LigaAI break the mold, empower R&D management, and truly make customers successful?

On this special day, we would like to share with you the story of the seed that was planted three years ago.

01 If you can’t get the data, you can’t prove the value of the team

Whether it is a skilled technical manager on the front line, or a research and development director or CTO in the military account, when managing a team, they will be troubled by two common problems.

First, it is impossible to obtain true and accurate team work data. Although R&D management tools and rich automation tools have been introduced, status updates, task flow, notification reminders, etc. are still highly dependent on manual completion. On the one hand, there is a lag in relying on manual reporting of information. Members often update the information just before the start of the morning meeting, and sometimes miss key updates, which brings huge obstacles for managers to understand the progress of R&D.

On the other hand, mechanically repetitive transactional work and complicated message notifications constantly disrupt the working rhythm of developers. Developers cannot focus on completing truly valuable work, which is also an important threat to high-quality online delivery.

Second, it is difficult to measure the business value of R&D teams. Many enterprises invest a lot of financial resources and resources in the technical department, but they cannot clearly perceive whether the R&D delivery has really contributed to the enterprise and business. Even if everyone in the requirements scheduling meeting insists that their needs are the highest priority, no can clearly say "What is our common goal?" "Why is this feature important to the business?"

The R&D team lacks a unified value perception, causing front-line technical members to be exhausted in the construction trap, and R&D managers are also struggling to prove their value. When refined management replaces extensive growth, the inability to explain "how R&D supports business development" will inevitably become a prison for the R&D team.

02 Break the stereotype and use AI to empower R&D management

"Let the machine do part of the work for people" is the first concept of LigaAI product design.

We believe that people's energy and time should be devoted to more valuable exploration and creation. Today, as the development of AI technology promotes leapfrog changes in productivity and production relations, developers, managers and decision makers all need smarter tools and platforms as an extension of the brain and advanced empowerment.

How to use AI technology to empower R&D management?

LigaAI's answer is "Building a value-driven and measurable R&D system with AI as the core . " How is it done?

Step 1: Use intelligent and efficient collaboration to solve underlying data source problems

First of all, LigaAI starts with the specific working scenarios of the R&D team, and opens up the entire process of R&D collaboration from user feedback to development and launch; uses one-stop R&D management to reduce the cost of platform switching and cross-platform data synchronization, and lays a solid foundation for smooth data acquisition.

At the same time, automated and intelligent functions such as intelligent assistants and AI robots replace manual updates and manual reporting, and status updates, task transfers, and message notifications can be automatically completed immediately, greatly ensuring the accuracy and authenticity of R&D data.

In addition to real-time and clean data sources, LigaAI also provides developers and managers with a more convenient work experience and more uninterrupted focus space with simple and easy-to-use products and functions, and strongly supports R&D efficiency.

Step 2: Establish a measurement system and provide decision-making support with numbers to rely on

LigaAI integrates a large number of industry best practices and successful experiences, and can provide organizations with intelligent and personalized scientific management index recommendations based on vision and goals, and promote the construction and implementation of effective R&D measurement systems.

Relying on powerful artificial intelligence technology, LigaAI mines the correlation and meaning between numbers in massive native process data, innovatively proposes industry/regional performance level levels , and replaces the "gold standard of management" with "visualized trends" to deeply empower R&D management.

For example, performance indicators such as Cycle Time and throughput can clearly expose the performance bottleneck of the R&D team; auxiliary functions such as risk warning and optimization suggestions can help identify key issues and accelerate state breakthroughs; industry benchmark comparison charts can guide managers to clarify the organization's current performance level, change trends and growth space, and stimulate effective decision-making.

With scientific and reliable quantitative management basis and intelligent decision-making assistance, LigaAI makes R&D management "reliable" and enterprise efficiency management and collaborative optimization "evidence to follow".

Step 3: Value-oriented, accelerate the integration of production, research and business

On the basis of ensuring efficient collaboration and reliable data, LigaAI hopes to make every delivery of the R&D team serve the enterprise and business .

First of all, powerful integration functions bring production and research closer to users and businesses. The deep integration of LigaAI and IM tools shortens the path for user feedback to enter production, research and development, and reduces the loss and distortion of information transmission. The multi-level account system further simplifies the processing steps from user feedback to user stories, and improves the communication efficiency of achievement delivery and external feedback.

Second, quantify business value to make R&D contributions clearer. LigaAI has designed a **"value factor scoring system"**, combining it with best practices and methodologies can guide the R&D team to gradually disassemble and draw the value factor matrix related to the goal, so as to visualize and standardize the value of the story. In external collaboration, value quantification will also drive the R&D team to achieve cross-departmental and cross-organizational goal consensus and value recognition, so that everyone can understand "why this function is needed".

Finally, regularly review the value assumptions, correct and adjust the deviation from the target. After replacing "head-slapping decisions" with scientific metrics, LigaAI visualizes achievement data such as target deviation and value contribution, supplemented by intelligent analysis, index optimization and other decision-making suggestions, presenting a professional and clear global management view for R&D managers and C-Levels, benefiting longer-term planning and management.

03 Redefine "Excellent R&D Team"

LigaAI believes that an excellent R&D team should not only have solid and powerful R&D skills, but also have a value-oriented cultural core.

The internal strength of R&D is the ability of the R&D team to quickly deliver high-quality products. An excellent R&D team will continue to explore simpler and more efficient working methods internally, making continuous progress and growth.

The core of culture is the bottom line for a team to carry out work, and it will subtly guide enterprises and organizations to move in the right direction. We believe that only companies and teams that are close enough to the market, close to the business, and always focus on (business) goals to overcome the right challenges can not be abandoned or eliminated by the market.

Persist in doing the right thing in the right way, and always maintain the desire to explore and curiosity, and then you can survive changes and changes with resilience, break through, and grow again.

04 Become an intelligent doctor of the R&D team

Starting from the specific work scenarios of developers and R&D managers, we will integrate more than ten years of practical experience in the R&D field, the fanatical pursuit of efficient productivity tools, and insight and understanding of business value into products, creating a data-based and intelligent R&D collaboration platform for the majority of R&D teams that can adapt to wider collaboration and center on AI technology - LigaAI .

We hope to empower with AI technology to create a value-driven measurable R&D system, making chaotic and complex R&D work and R&D management easier and simpler, and benefiting developers, managers and decision makers.

In the era of artificial intelligence, LigaAI wants to become an intelligent doctor for thousands of R&D teams, and accompany each R&D team to upgrade and fight monsters, explore the future, and advance in growth.

About LigaAI

LigaAI is an enterprise service company with artificial intelligence technology as its core. It is committed to simplifying complexity, improving collaboration efficiency, and empowering R&D teams through AI scenarios. Starting from the specific working scenarios of developers, LigaAI provides powerful tool integration capabilities, provides developers with a simple and intelligent collaboration experience, and provides different types of organizations with a digital, personalized, and intelligent project collaboration platform.

Get rid of complexity, embrace simplicity, and let R&D collaboration return to value delivery.

Welcome to register and use LigaAI's next-generation intelligent R&D collaboration platform.