FAQ
Mike Goss avatar
Written by Mike Goss
Updated over a week ago

Hi there !

You have doubts about how to use Figures?
Find below answers to most of the questions you have been asking yourself :


🔑 Login

  • Why is it not possible to login using email and password?

    We chose not to allow traditional email/password methods to sign-in for security measures, as it’s known to be one of the most vulnerable vectors of attack. More information in our documentation page.

  • How does "Sign-in with a Login Link" work?

    If you use neither Microsoft nor Google within your company than you can request an individual Login Link via "Sign-in with a Login Link" to gain access to Figures.

    Precondition to gaining access to Figures this way, as with any of the other login options, is that we have already registered your email address as a user credential in our backend.

    To receive the Login Link, just click on "Sign-in with a Login Link" and enter your email address. You will receive an email with the respective Login Link (valid 24 hours) in your inbox. By clicking on it you will gain direct access to your Figures account.

    But keep in mind, each Login Link can only be used once and so you have to re-generate it each time you want to access your Figures account.


👯‍♀️ User Administration

  • Where can I add and manage users?

    You can do this on the users tab in your account section on Figures.

    Alternatively, you may find the box "Add people to your team" on the right hand side of your Figures home page. Though this section is dynamic and displays different information depending on your account status.

  • Who can invite new users?

    Only administrator users can invite other users.


💾 Database Management

  • Should I include interns, working students or freelancers in the dataset?

    For now, we don’t integrate interns, working students, freelancers etc. into our dataset. In general, the focus is on full-time employees and their annual salaries.


  • What if students, interns, freelancers or interim employees have been imported?

    Regarding Students, Interns & Freelancers

    In general, students, interns and freelancers should be skipped (i. e. excluded from the mapping) as we don’t offer the means to map or compare them on Figures.

    If the integration to your HRIS considers the occupation type, then interns, working students, freelancers, but also part-time employees should automatically be displayed as "skipped" in your imported employees tab on Figures.

    Students and interns may be mapped at a later date, should they decide to move into a permanent full-time position (level junior and above). Freelancers should remain skipped.

    Interim employees

    Here we need to differentiate between full-time employees who are doing a job (maybe in addition to their actual job) for a temporary time, and someone with an actual interim contract.

    The former can remain on Figures, mapped to their current position, i. e. the one they are being compensated for. The latter, the person with an interim contract, should not be included on Figures, especially considering that their salary is often higher than that of a regular employee in the same position. The reason, of course, being their interim status and short-term contract.

  • What should I do for part-time employees?

    If you would like to benchmark your part-time employees, you can easily convert them to their full-time equivalent on Figures, as long as you have:

    • Integrated your HRIS;

    • Have a field in your HRIS containing the FTE number for the part-time employees (e.g., if a part-time employee only works 20 hours a week instead of 40 hours a week, their FTE is 0.5).

      • If you have an FTE field in your HRIS but it uses a different numerical scale, please get in touch with your Customer Success Manager.

    To set this up, go to Account, click on the Integrations tab, click on your integrated HRIS, and scroll to the “Custom Fields” section. In the drop down for “Full-time equivalent”, choose the corresponding field you use in your HRIS. Finally, click on the “Change & save configuration” button at the bottom, then your part-time employees will be displayed in their full-time equivalent in the next 24 hours.

    If you used a spreadsheet to import your employees, please manually convert their salaries to the full-time equivalent compensation information on Figures, so they can be benchmarked correctly.

  • Does the market data include the bonus?

    By default, Market data explorer and dashboards display the total cash package. If you want you can change the settings to have base salary only displayed. Total cash includes On Target Earnings (variable bonuses) and other fixed bonuses. The base salary inclues neither.

  • What types of bonuses can be entered on Figures?

    On Target Bonuses: These are variable bonuses linked to an employees individual performance. They tend to be based on certain pre-defined targets that need to be achieved. On Figures, please enter the possible On Target Bonus, rather than the individual or average bonus pay out.

    Fixed Bonuses: These tend to be company wide bonuses and should apply to (almost) anyone. They are linked to global objectives rather than individual ones, and can include company profit sharing schemes, team bonuses, or bonuses related to seniority or loyality.

  • What is Figures' data update policy?

    We ask our clients to update their data at least once per year, however, most of the time data is updated at least twice a year.

    Clients using integrations have real-time data in Figures. The synchronisation takes place daily.

  • I want to manually add additional employees. Why is it not working?

    To manually add additional employees, you need to click on "Add a new employee" on the tab employees. In order to save an entry please make sure that you have entered all mandatory information (marked with *). If it still doesn't work, your AdBlocker may be the culprit and needs to be deactivated.

  • Why is my data upload via spreadsheet not working?

    For filling the spreadspeet, please consider the following:

    • mandatory fields:

      • ID

      • Gender ("Not disclosed" can be chosen)

      • Job title

      • Currency

      • Annual Base Salary

      • Location

    • most common reasons for the import not working:

      • Not all mandatory culumns have been filled.

      • Numerical values contain commas or currency symbols.

      • Instead of using the drop-down menu to enter pre-defined information, information was entered manually (currency symbol instead of currency as stated in the drop-down menu)


🗺️ Mapping

(more detailed information here)

  • Do you have an overview of all job profiles currently available for mapping?

    Yes, please find the complete list of job profiles, including definitions, here.

    We add more roles on a regular basis and the linked list is updated accordingly.

  • What if I can't find the right job in Figures?

    If our list of job profiles does not offer the right equivalent you’re looking for, you can leave it unmapped and make a new job request.

    We review requests regularly, but as we only want to create relevant jobs (i.e. jobs for which we will be able to provide market data), the two following criteria must be met:

    We’re confident we’ll be able to map at least 50 employees coming from at least 3 distinct companies.

    The job is specific enough so that we compare similar employees (similar missions & skills).

    If we decide to create a new job you have requested, your CSM will get back to you with the good news! Keep in mind though: it may take some time for us to gather the right amount of data that will allow us to create the job.

  • How should I map the seniority level?

    The level description is more important than years of experience. Experience is only a guide but it can be quite different from reality. The scope, autonomy, and expertise on a job are more important. Please find an overview of current leveling options on Figures here and more detailed information on mapping levels here.

  • How should I map managers?

    If the employee is responsible for a team composed of employees carrying out the same job, then they will be a manager for that job only.

    If the employee is responsible for a team composed of several job families then they will be a generalist Manager (except for Chief Of Staff and Chief Operating Officer).

    Example: If I am a manager of a team composed of accountants only, I will be the Accountant Lead. If there are accountants, controllers, and analysts in my team, I would be the Finance Manager Lead.

  • How should I map C-Level Executives, a CFO for example?

    If you are looking for CFO roles, you can select Finance Manager and set the Figures' Seniority level to C-level.

    The same logic applies to other exec roles (e.g. a CPO is a C-Level Product Manager, a CMO is a C-Level Marketing Manager etc.).

    There are some C-Level roles such as the CEO or COO that deviate from that rule since they do not exist on a lower seniority level.

  • How should I map a location?

    You can choose between 3 types of locations:

    1. The city where your office is based
    2. Other: Other cities in a country where you have offices that are not listed
    3. Remote: For people with a special remote work contract

    Please make sure to map every employee to the location they are actually based at according to the above categorization.

    In case you cannot find a specific country overall, please let your Customer Success Manager know or use the chat to inform us. We'll make sure to create the country including the capital city and the options for remote and others.

  • Why do we have employees under the category 'Needs Remapping' ?

    In the Imported Employees tab, you might have noticed that some of your employees moved from the category 'Mapped' to 'Needs Remapping'.

    Employees can switch categories for two reasons:

    1. They have changed jobs/locations/levels and we don't have an automatic mapping for them

    2. They have changed salaries with the difference between previous and new salary being greater than 10%


🔍Market Data & Market Positioning

  • Where do you get your currency exchange rates and what is the update frequency?

    We have exchangeratesapi.io running in the background and synch from it every Weekend.

  • How does Figures determine the market positioning per employee (i.e. way above target, etc)?

    In your people dashboard on Figures you see the market positioning per employee in the last culumn on the right. It is based on the deviation of the employees actual salary (culumn "Total Cash" in the screenshot) from the market salary (culumn "Market") at the chosen target percentile (culumn "Target Percentile"). I say "chosen" because you can actually choose a different target percentile in your compensation policy settings.

    The decisive deviations per positioning are:

    -20+ => Way below target
    -20 / -5 => Below target

    -5 / +5 => On target

    5 / 20 => Above target

    20+ => Way above target

  • Where do the AI-Estimated data come from? How does it work?

Figures AI uses an open source machine learning model (XGBoost) to predict compensation for a specific combination of job / location / level. This predictive model has been trained on over the 90,000 real-time data points (within 88 countries) currently making up the Figures benchmark, considering the different roles, levels, and countries & locations. The model is trained over all percentiles (from 10th to 90th) in order to provide you with the whole range of compensation, for each role and level, as is provided by Figures’ traditional benchmark.

  • Why do I sometimes see AI-Estimated data and sometimes don’t?

Figures AI is displayed when we don’t have sufficient data to display the Fair, Strong, or Excellent data quality indicators. The AI-Estimated data aim to help you understand the compensation of a given job / location / level combination by providing a reliable estimate.

When there are sufficient real-time data, you will see the data quality indicators displaying Fair, Strong, or Excellent, alongside the number of data points and companies contributing those data points.

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