Assessing Business Performance: Qualitative analysis (AQA A Level Business): Revision Note

What is qualitative analysis?

• Qualitative analysis is the examination of non-numerical information, such as opinions or feelings, to gain deeper insight into a situation or decision

• A range of qualitative information, from inside and outside the business, can be used alongside financial and other data to assess business performance

  • It can be gathered repeatedly to see whether opinions are changing, and compared with what is being said about competitors

Sources of qualitative information

Customer reviews and testimonials

• These reveal the detailed reasons behind satisfaction or dissatisfaction, not just an overall score

Example

TripAdvisor reviews repeatedly mention slow check-in, despite a hotel's high average star rating

Employee feedback and exit interviews

• These reveal staff morale, give insights into workplace culture and highlight the real reasons people are leaving

Example

Exit interviews at a high street retailer reveal staff are leaving because of inflexible shift patterns

Focus groups and in-depth interviews

• A focus group is a small group of people brought together to discuss and give their reactions to a product, service or idea, generating qualitative insight for a business

• These reveal detailed customer needs and reactions to new ideas before launch

Example

A focus group explains why a new flavour achieved poor feedback despite scoring well in a blind taste test

Management and supervisor observations

• These reveal day-to-day operational or cultural problems not captured in formal reports

Example

A store manager notices customers hesitating at a confusing self-checkout layout

Media and press coverage

• This may reveal public perception and reputation, independent of sales figures

Example

News coverage of a product recall damages public trust before it shows up in sales data

Stakeholder consultations

• These can reveal the reaction of a specific group, such as a trade union or local community, to a proposed decision

Example

Consultation with a trade union reveals strong opposition to a proposed factory closure

Social media commentary

• This can reveal unprompted, authentic public opinion and early signs of emerging trends

Example

Comments under a social media post reveal confusion over a beauty product's price rise before it affects sales

How qualitative analysis impacts decisions

• Qualitative analysis is used alongside quantitative data, not instead of it

  • Numbers tend to show what has happened, while qualitative evidence helps explain why, and what is likely to happen next

• At a strategic level, qualitative insight is especially valuable for decisions requiring judgement about people, culture or reputation

  • These are difficult to reduce to a single figure

• At a functional level, qualitative feedback often triggers smaller, faster changes within a single department

  • Such as HR adjusting a shift pattern after informal staff complaints, or marketing softening an advert's tone after negative focus group reaction

• Businesses that build in regular qualitative feedback can sometimes act before a problem shows up in the numbers

Example

The LEGO Ideas platform, where fans submit and vote on new set concepts, allows the company to gather qualitative insight into what customers actually want before committing resources to development and production

• Relying on qualitative evidence alone is risky for major decisions

  • It is harder to prove to stakeholders such as banks or shareholders that a decision is justified

Evaluation of the use of qualitative analysis

• Using qualitative analysis to assess performance can uncover problems and opportunities that financial or other quantitative data would only reveal much later

• However, it is harder to measure consistently, and can be more difficult to justify to stakeholders who expect hard evidence

Advantages of using qualitative analysis

• It explains the reasons behind the numbers

  • It reveals customer or employee motivations that quantitative data cannot capture on its own

• It provides early warning of problems

  • Attitudes and complaints often change before they show up in sales, employee turnover or productivity figures

• It captures stakeholder attitudes and culture

  • This is useful for judging staff morale, brand reputation and community reaction

• It supports better strategic judgement

  • This helps managers weigh up decisions where the right answer is not simply the one with the best numbers

Limitations of using qualitative analysis

• It can be subjective

  • Interpretation can vary between managers, and personal bias can distort conclusions

• It is difficult to measure and compare

  • There is no standard scale, making it harder to benchmark against competitors or track precisely over time

• It may contain small or unrepresentative samples

  • Focus groups and interviews may not reflect the views of the wider customer or employee base

• It is often time-consuming to analyse properly

  • Themes in open-ended feedback must be carefully read and categorised, unlike a ratio that can be calculated instantly