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AIM Several benchmarks aim to make relevant measurements transparent and objective.
Transparent, data-driven benchmarks of product performance are rare. Legacy industry analysts such as Gartner and Forrester relied on opaque estimates that only published this data:
– high-level qualitative (eg market understanding) and quantitative criteria against which products will be evaluated1
– A high-level assessment of these criteria without disclosing the values driving the assessment
These estimates were based on data provided by vendors who have an undisclosed commercial relationship with the analysts.
Therefore, the results are subject to a number of problems, such as:
- Analyst bias: Analysts would evaluate responses from vendor representatives, including qualitative responses. Vendor representatives who have a commercial relationship with an industry analyst have a chance to build a relationship with them by scheduling calls throughout the year. However, sales representatives without such commercial relationships present their products in one call.
- Conflict of interest: For these evaluations, vendor representatives were asked questions about their personal data (eg revenues, features, roadmap, etc.). Because it would be obvious which answers lead to a better outcome for the seller (eg, higher product revenues are likely to result in a higher rank), seller representatives face a conflict of interest.
How does AIMultiple provide objectivity?
To ensure that AIMultiple does not favor any solution and does not rely on other sources of income to run the benchmark: each participant
- Pay the participation fee
- Provide free access to their solution during evaluation.
AIMultiple will support the objectivity of its work with transparency, as it may reduce corruption and improve the quality of results.
How does AIMultiple provide transparency?
Detailed evaluation results (excluding human judgment where applicable) will be shared with all parties involved.
For example, if the assessment involves measuring value using automated systems, all participants will receive these values:
- Evaluation time stamps for all participants
- Measured metrics for their product and average product
Why should you join?
Marketing and Sales
Have a document that outlines your decision to market. If the benchmark supports your marketing messages, you can back up your marketing claims with third-party data collected through an objective and transparent process.
product
Using data to understand your product’s strengths and weaknesses.
Why not join?
to get leadership. AIMultiple is a global leader or one of the digital audience leaders in the domains where it manages benchmarks. However, the AIMmultiple benchmarks are technical documents and are not intended for a large audience.
Contact the AIMmultiple team through [email protected] If you want to have an AIMmultiple benchmark on your domain.
- How markets and vendors rank in the Gartner Magic Quadrants. Gartner. January 22, 2016. Retrieved June 21, 2023.
Cem has been the chief analyst at AIMultiple since 2017. AIMultiple reports to hundreds of thousands of businesses each month (according to similar websites) including 55% of the Fortune 500.
Jam’s work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms such as Deloitte, HPE, and NGOs such as the World Economic Forum and supranational organizations such as the European Commission. You can see more reputable companies and resources referencing AIMultiple.
Throughout his career, Jam has worked as a tech consultant, tech buyer, and tech entrepreneur. For more than ten years, he advised enterprises on technology solutions at McKinsey & Company and Altman Solon. He also published a McKinsey report on digitization.
He led technology strategy and acquisitions for the telco, reporting to the CEO. He also led the commercial growth of deep technology company Hypatos, achieving 7-figure annual recurring revenue and 9-figure valuation from 0 to 2 years. Jam’s work at Hypatos has been covered by leading technology publications like TechCrunch, Business Insider.
Jam regularly speaks at international technology conferences. He graduated from Bogazici University with a degree in Computer Engineering and holds an MBA from Columbia Business School.
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