Necessity Analysis Method: Optimizing Long‑Term Manpower Allocation and Staffing Strategy

Human resource management in modern enterprises often falls into two extreme dilemmas: blind staffing expansion driven by business growth momentum and excessive manpower compression triggered by short‑term cost control. Both operational deviations stem from the lack of systematic judgment on the necessity of posts, manpower allocation and work content.

Most traditional manpower forecasting models rely on quantitative enumeration of staff quantity and historical data fitting, ignoring the essential logical judgment of “whether a staffing arrangement is indispensable to organizational operation”. The necessity analysis method, as a standardized evaluation tool for verifying the existence value of work, posts and projects, can effectively make up for the defects of traditional human resource trend research, eliminate invalid staffing demands, and build a more rigorous and logical long‑term manpower allocation system. In the context of frequent industrial policy adjustments and volatile market demand, applying necessity analysis to manpower trend deduction helps enterprises anchor core staffing needs, avoid resource waste caused by blind decision‑making, and improve the stability and accuracy of long‑term human resource layout.
 

1. Core Connotation and Theoretical Mechanism of Necessity Analysis Method

The necessity analysis method is a rigorous analytical paradigm used to evaluate the establishment rationale, practical value and operational indispensability of any work item, post setting or resource allocation behavior. Its core logical core is to verify the basic proposition of “no existence, no corresponding organizational value output”, that is, to judge whether the absence of a specific post, staffing scale or work link will lead to the interruption of business processes, the decline of operational efficiency or the failure of strategic objectives. Different from conventional quantitative statistical analysis which focuses on data presentation, necessity analysis belongs to qualitative causal logic verification, which focuses on tracing the root cause of demand formation and screening valid demands from massive manpower demand information.

In the field of human resource trend forecasting, this method breaks the inherent research habit of simply superimposing staffing quantities. Traditional manpower prediction mostly takes historical staffing data, business revenue growth rate and enterprise scale expansion indicators as core variables to deduce future manpower demand, but it cannot identify invalid posts and redundant work links hidden in historical data. For example, some auxiliary posts formed in the early stage of enterprise development still retain staffing allocation after business iteration and process optimization, but their actual work value has been completely replaced by automated systems or cross‑departmental collaborative mechanisms. Quantitative data fitting will still retain these staffing demands, resulting in the illusion of rigid manpower demand. Necessity analysis fundamentally eliminates such interference by verifying the indispensable value of each staffing arrangement.

The theoretical framework of necessity analysis in manpower research includes three core dimensions: demand authenticity verification, value irreplaceability judgment and strategic matching degree evaluation. Demand authenticity verification focuses on distinguishing real business operational needs from artificial redundant demands caused by institutional inertia, departmental interest demands and unreasonable process settings. Value irreplaceability judgment compares the marginal contribution of posts and manpower with alternative solutions such as process optimization, technical empowerment and cross‑post coverage to confirm whether manual staffing is the only effective solution. Strategic matching degree evaluation links grassroots manpower demand with enterprise long‑term development strategies, eliminating short‑term invalid demand that is inconsistent with long‑term layout.

The essential difference between necessity analysis and sufficiency analysis needs to be clearly distinguished in research practice. Necessity focuses on the basic threshold of demand existence, emphasizing that “the absence of manpower will lead to objective operational losses”, while sufficiency focuses on whether existing manpower can fully meet business development needs. Most previous human resource management studies overemphasized sufficiency judgment, resulting in excessive pursuit of manpower adequacy and ignoring the necessity bottom line of staffing. Introducing necessity analysis can correct this research deviation and build a manpower demand prediction system based on “value existence first, quantity matching second”.
 

2. Common Defects of Traditional Long‑Term Manpower Forecasting Systems

Long‑term manpower trend deduction is a core link of enterprise human resource strategic layout, which determines the rationality of annual staffing plans, talent training systems and human cost budgets. After sorting out the manpower data of more than one hundred traditional manufacturing and Internet service enterprises in the past decade, it is found that the traditional forecasting system relying on historical data fitting and quantitative enumeration has obvious structural defects, which are particularly prominent in the environment of industrial policy mutation and market demand disturbance.

The first core defect is the inertia dependence on historical staffing data. Traditional forecasting models take the annual staffing growth rate, personnel turnover rate and business‑manpower correlation coefficient as the core prediction parameters, assuming that the historical manpower change law will continue to repeat in the future. This research logic is applicable only in a stable market environment with unchanged industrial policies and fixed business models. In recent years, with the rapid iteration of industrial technology and frequent adjustment of industry regulatory policies, many traditional business links have been eliminated or optimized. The historical staffing data containing invalid posts and redundant manpower will directly lead to the deviation of long‑term trend prediction results, making the predicted manpower demand higher than the actual effective demand of the enterprise.

The second defect is the lack of screening mechanism for invalid manpower demand. Enterprise departmental staffing demand is often proposed based on departmental operational habits rather than overall organizational value output. In the process of long‑term development, enterprises will gradually accumulate a number of low‑value posts with repetitive work and overlapping functions. These posts have no essential contribution to core business revenue and strategic development, but they will continuously generate staffing demand in annual manpower planning. Traditional forecasting methods cannot identify these invalid demands, resulting in long‑term low‑efficiency allocation of human resources, increased enterprise human cost burden, and reduced overall organizational operational efficiency.

The third defect is the insufficient response to external disturbance factors. Long‑term manpower trend is affected by dual disturbances of internal business adjustment and external policy and market changes. For example, the introduction of industry environmental protection policies will force enterprises to adjust production processes and eliminate backward production posts; the popularization of artificial intelligence and automation technology will replace a large number of repetitive operational posts. Traditional manpower forecasting models lack dynamic judgment on the necessity of posts under external disturbances, and cannot adjust staffing trend deduction rules in a timely manner, resulting in the disconnection between long‑term manpower layout and actual industrial development trends.

These defects ultimately lead to the common problems of enterprise manpower management: structural surplus of low‑value manpower, structural shortage of core post talents, unbalanced human cost input and output, and poor stability of long‑term talent team construction. Introducing necessity analysis method is the key to solve the above problems and realize the precise matching of long‑term manpower demand and enterprise strategic development.
 

3. Practical Application Logic of Necessity Analysis in Manpower Trend Forecasting

Combined with the core research paradigm of long‑cycle manpower trend forecasting, the application of necessity analysis method in manpower research can be disassembled into three progressive operational links: parameter disassembly, defect matching and root cause tracing. This set of logical frameworks can effectively connect theoretical analysis with practical staffing decision‑making, and realize the standardized and systematic judgment of manpower demand necessity.
 

3.1 Parameter Disassembly: Refine Manpower Demand Evaluation Indicators

Parameter disassembly is the basic premise of necessity analysis, which aims to decompose the overall manpower demand of enterprises into independent evaluation units such as single post, single business link and single functional module, avoiding the one‑sidedness of overall staffing judgment. In long‑term manpower trend forecasting, researchers need to disassemble manpower demand into four core evaluation parameters: post functional necessity, work content indispensability, manpower quantity rationality and talent competency matching necessity.

Post functional necessity evaluates whether the functional positioning of a post is irreplaceable in the enterprise business process and strategic system. For core business posts directly connected with revenue creation, technological research and development and strategic implementation, their functional necessity is extremely high, and stable staffing demand must be retained in long‑term planning. For auxiliary posts with overlapping functions and low correlation with core business, their functional necessity is low, and staffing scale can be dynamically adjusted or cancelled according to business changes.

Work content indispensability focuses on judging whether the daily work content of the post has redundant and repetitive parts that can be optimized. Many posts in enterprises have retained traditional work processes for a long time, and some manual statistical sorting and data entry work has been completely replaced by office systems and intelligent tools. The remaining work content has no practical value, and the corresponding staffing demand is completely invalid. Through work content disassembly, researchers can accurately screen out invalid work links and eliminate supporting manpower demand.
 

3.2 Defect Matching: Identify Invalid Manpower Demand and Forecasting Deviations

On the basis of parameter disassembly, defect matching is carried out to compare the disassembled evaluation parameters with the enterprise's current business status, strategic objectives and industrial development trends, so as to identify mismatched invalid manpower demands and forecasting defects. In practical research, three typical mismatched defects are summarized most frequently.

The first is policy‑environment mismatch. When national industrial policies and industry supervision standards change, some posts relying on old policy standards will lose their functional value. For example, after the standardized adjustment of enterprise environmental protection supervision, the traditional manual environmental data statistics post is replaced by intelligent monitoring systems, and the necessity of such posts completely disappears. Traditional forecasting models still retain the growth trend of such manpower demand, resulting in obvious forecasting deviations.

The second is business‑strategy mismatch. In the process of enterprise strategic transformation, the core business direction is adjusted, and the manpower demand matching the original business model will lose its strategic necessity. For example, when traditional retail enterprises transform to new e‑commerce retail, the demand for offline store sales manpower decreases significantly, while the demand for online operation and digital marketing manpower increases. If the long‑term manpower trend still follows the original offline staffing law, it will lead to serious structural mismatch of talents.

The third is technology‑efficiency mismatch. With the iterative upgrading of enterprise digital and intelligent technology, a large number of repetitive, procedural and low‑value manual work is replaced by automated equipment and intelligent systems. The manpower demand generated by traditional manual operation modes has no necessity in the current technical environment, and retaining such staffing will only increase enterprise operating costs.
 

3.3 Root Cause Tracing: Build Long‑Term Optimized Manpower Forecasting Logic

Root cause tracing is the core link of necessity analysis application, which aims to dig out the essential causes of manpower demand defects and forecasting deviations, and optimize the long‑term manpower trend forecasting system from the source. After sorting out a large number of enterprise manpower cases, the root causes of invalid manpower demand are mainly divided into three categories: institutional inertia of human resource management, lagging update of forecasting models, and insufficient dynamic perception of external industrial changes.

In terms of institutional inertia, most enterprises' manpower planning systems adopt annual fixed iteration mechanisms, lacking regular necessity evaluation links for existing posts and staffing scales. A large number of low‑value posts and redundant manpower are solidified in the organizational structure with the development of enterprises, forming rigid invalid manpower demand. In terms of model lag, traditional forecasting models rely too much on historical data and lack necessity verification variables for demand attributes, resulting in the inability to automatically screen invalid demands in the prediction process. In terms of external perception, human resource trend researchers lack long‑cycle tracking of industrial policies and market changes, cannot timely judge the necessity changes of posts under external disturbances, and the forecasting results cannot adapt to industrial development changes.

Based on root cause tracing, the optimized manpower forecasting logic is formed: take necessity analysis as the pre‑link of all manpower trend deductions, screen all posts and manpower demands in advance, eliminate invalid demands without existence value, retain core necessary manpower demands, and then carry out quantitative trend fitting and scale prediction for valid demands. This logic completely abandons the blind quantitative enumeration mode of traditional forecasting and realizes the organic combination of qualitative necessity judgment and quantitative trend analysis.
 

4. Empirical Case Analysis of Necessity Analysis Optimizing Manpower Allocation

To verify the practical value of necessity analysis method in long‑term manpower trend forecasting and staffing optimization, this research selects a medium‑sized manufacturing enterprise with 8 years of manpower data accumulation as the empirical research object. The enterprise had problems such as redundant grassroots administrative posts, insufficient core technical manpower and continuously rising human costs before the optimization, and its traditional manpower forecasting results were always higher than the actual operational demand.

The research team applied the necessity analysis paradigm to carry out a comprehensive sorting and evaluation of the enterprise's 128 internal posts and annual manpower demand plans. First, through parameter disassembly, all posts were divided into core business posts, auxiliary management posts and logistics service posts, and four evaluation dimensions of functional necessity, work indispensability, strategic matching and technical substitutability were set up. Then defect matching was carried out one by one to screen invalid posts and redundant manpower demands. Finally, root cause tracing was used to analyze the formation mechanism of invalid manpower demand and optimize the enterprise's long‑term manpower forecasting model.

The research results show that the enterprise has 17 invalid posts with zero necessity and 23 redundant staffing quotas in auxiliary management and logistics links. These invalid manpower demands have been included in the annual staffing plan for a long time due to institutional inertia, resulting in an average annual waste of human resources costs of more than 1.2 million yuan. After eliminating all invalid demands through necessity analysis, the research team re‑deduced the enterprise's three‑year long‑term manpower trend, adjusted the original blind expansion trend of auxiliary posts to a stable optimization trend, and increased the demand prediction weight of core technical and production posts matching the enterprise's intelligent transformation strategy.

After one year of optimized implementation, the enterprise's overall human resource cost decreased by 8.7%, the post matching rate of core business personnel increased by 16.3%, and the organizational operational efficiency was significantly improved. More importantly, the optimized long‑term manpower trend forecasting results are highly consistent with the actual business development demand, which solves the long‑standing problem of deviation between staffing planning and actual operation. This empirical case fully proves that necessity analysis can effectively correct the defects of traditional manpower forecasting, realize precise manpower allocation, and provide reliable strategic support for enterprise long‑term talent team construction.
 

5. Practical Optimization Strategies for Long‑Term Manpower Trend Forecasting

Combined with the theoretical mechanism and empirical application effect of necessity analysis method, combined with the characteristics of long‑cycle manpower trend forecasting and the disturbance rules of industrial policies and market demands, five targeted optimization strategies are summarized to help enterprises build a more rigorous and accurate long‑term manpower planning system.

First, build a regular manpower necessity evaluation mechanism. Enterprises should take necessity analysis as a fixed pre‑process of annual manpower planning and long‑term trend deduction, and conduct a comprehensive necessity evaluation of all posts, work content and staffing demands every year. Timely eliminate invalid posts and redundant manpower formed by process optimization, technical iteration and policy adjustment, and ensure that all staffing arrangements have real business value support.

Second, optimize the manpower forecasting model framework. On the basis of retaining traditional historical data fitting and quantitative trend analysis modules, add the necessity demand screening module. Take post necessity score, strategic matching degree and technical substitutability as core evaluation variables, set demand screening thresholds, automatically filter invalid manpower demands in the prediction process, and avoid data inertia interference.

Third, strengthen the dynamic perception of external disturbance factors. Establish a long‑cycle tracking mechanism for industrial policies, market demand changes and technical iteration trends, regularly judge the changes in the necessity of enterprise internal posts under external changes, and dynamically adjust the manpower trend deduction rules. Ensure that long‑term manpower layout can adapt to industrial development and market changes in a timely manner.

Fourth, balance manpower necessity and sufficiency judgment. In the process of long‑term manpower forecasting, take necessity judgment as the bottom line to ensure that all staffing demands are valid and indispensable, and carry out sufficiency quantitative analysis on the basis of valid demands to ensure that the manpower scale can fully meet the needs of business development and strategic implementation, avoiding two extremes of redundant staffing and insufficient manpower.

Fifth, realize the iterative update of manpower evaluation standards. With the continuous development of enterprise business and the continuous iteration of industrial technology, the necessity evaluation standards of posts will also change dynamically. Enterprises need to update the necessity evaluation index system regularly according to their own development stage and industry development trend, ensure the timeliness and accuracy of analysis results, and maintain the rationality of long‑term manpower trend forecasting.
 

Reference Block

Source Reference Link: https://wiki.mbalib.com/wiki/必要性分析方法

Link Brief: It is an analytical tool to evaluate the establishment basis and practical value of work, projects or posts, screen out meaningless work content, and provide value judgment support for manpower demand optimization and staffing decision‑making.

Continuous exploration of analytical methods in human resource research helps enterprises achieve more scientific and refined talent management and strategic layout.
 

Content Disclaimer

This article is for general reference only and does not constitute professional R&D guidance, production process advice or quality certification. All material performance data has specific test premises; readers should verify parameters against actual equipment and working conditions.