CAIE Business (9609)

Idir's strategy was partly successful. Some indicators improved significantly: labour turnover was only 2% compared with the industry average of 15%, suggesting employees were more loyal than in other firms. The interview also claims that sales doubled since 2020 with half the number of employees, which could indicate higher productivity and improved efficiency. There was also almost no lateness or absenteeism by 2024, which suggests better attendance and possibly stronger discipline after the introduction of financial penalties and incentives.

However, not all evidence is positive. In 2020 PI had very poor absenteeism and lateness compared with the industry average: absenteeism was 12% versus 5% and lateness was 27% versus 10%. This suggests employee performance was weak before the changes. Although the later interview says these problems were almost eliminated, the reliability of Idir's claims may be limited because he is speaking in a trade magazine and may be presenting a biased view of success.

The strategy may also have had negative effects on motivation and long-term performance. Dismissing the HR manager, reducing the number of managers and employees through involuntary redundancy, and introducing financial penalties could damage morale, increase stress and reduce commitment. Trade union membership rose to 60%, which may indicate growing dissatisfaction or concern among employees. High turnover can also be a sign of poor motivation, even if it is lower than the industry average.

The off-the-job training for managers and the paperless office policy may have improved skills and communication. Better trained employees could support higher productivity and the use of IT may have made operations more efficient. The management EQ score in PI was 120 compared with the industry average of 80, which suggests managers may already have had strong emotional intelligence, so the need for harsh control methods may have been less clear.

Overall, Idir's strategy appears successful in improving measurable performance indicators such as attendance, lateness and output, but it may have achieved this through cost-cutting and tighter control rather than genuine long-term motivation. The success is therefore mixed: short-term efficiency seems to have improved, but the strategy may not be sustainable if employee morale falls or if skilled staff leave.

Idir should use accounting data that helps assess whether pet insurance will be profitable and affordable to enter. He should examine forecast revenue, expected premiums, claims costs, administration costs and marketing costs. This would allow PI to estimate gross profit and net profit for the new product and judge whether the market could generate acceptable returns.

He should also use break-even analysis and contribution data. Because the market is dominated by two large competitors and requires significant investment, PI needs to know how many policies must be sold to cover fixed costs such as IT systems, staff training and promotion. Contribution per policy would help compare different pricing strategies and estimate the margin of safety.

Cash flow forecasts are especially important because entering a new market may require heavy upfront spending before income is received. PI should estimate the timing of premium income and claim payments, as well as investment in technology and staff. This would help Idir avoid liquidity problems and decide whether external finance is needed.

Idir could also use budgeted profit and loss accounts, return on investment, and ratio analysis such as gross profit margin and net profit margin. These measures would help compare the pet insurance proposal with PI's existing car and home insurance business and with competitors. Since Idir claims PI already has the highest gross profit margin in the industry, he should check whether the new market could achieve similar or better margins.

However, accounting data alone is not enough. It is based on estimates and may be unreliable for a new market where PI has no experience. Idir should combine accounting data with non-financial information such as market growth, competitor strength, customer demand, and the skills needed to underwrite pet insurance. Overall, the most useful accounting data would be forecasts of profit, cash flow and break-even, because these directly show whether the strategy is financially viable.