Our remote-first software engineering organization benefited from implementing a straightforward four-signal rubric based on real work behaviour, instead of relying on resumes, as a means of sharpening our structured behavioural interview process. We eliminated the open-ended and vague questions of the past, such as "Tell me about yourself" and transitioned to scenario based prompts around: ownership/buy-in, asynchronous communication (via email, messaging applications, etc.), decision-making during crisis situations and recovery after failure. Each answer was scored on a scale of 1-5 with a written justification. No gut instinct or vibes; just patterns. By switching to this method, we have dramatically improved the quality of the signals being received. We can now make valid comparisons between candidates based on true thoughts and behaviours in a distributed work environment, rather than relying on the amount of confidence expressed during a Zoom call. This method has also decreased interviewer bias, shortened the length of the debriefing meeting(s) and has shortened the recruitment cycle. More importantly, it has allowed us to hire people who thrive without direct supervision. People who possess excellent writing skills and demonstrate accountability for their actions. Remote teams experience failures, not due to lack of talent, but rather due to differences in behaviour. This rubric has allowed us to clearly identify these differences in behaviour in the early stages of the interview process.
A rubric created uniformity for an engineering team that is primarily remote. The rubric was based on one project an applicant was specifically involved in and the applicant was graded on four areas: how they framed the problem they were trying to solve, their collaboration while working asynchronously and across time zones, the trade offs of the decisions they made, and how they continued to own their work after their choice was made. I began using this rubric because I found that some interviewers asked very different types of questions and debated culture fit with no clear definition. By requiring all questions to be connected to some example of how candidates will have documented their decisions, or how they worked together to resolve barriers across different time zones, we were able to eliminate vague or subjective assessments and rely on observable actions and attitudes. Each interviewer scored each area of assessment prior to debriefing to reduce the impact of groupthink and allow for a clearer pattern of assessment to emerge. The quality of the signals that we received from candidates was enhanced because candidates couldn't depend on just having polished storytelling candidates needed to prove that they had experience working in a virtual environment. This allowed for quicker debriefing and allowed for the hiring decision to be supported by the data collected during the assessment process.
CEO at Esevel
Answered 2 months ago
As a remote-first company that works in many different countries, we learned early on that good engineers aren't just fast coders, they also know how to work safely in distributed, security-sensitive environments. One behavioral interview rubric that helped Esevel hire more consistently looked at how candidates deal with risk, access and accountability when they are in charge of systems from a distance. We designed the interviews to focus on three behaviors: how they handle security incidents when there are no escalation paths, how they document and communicate technical decisions when no one is physically present and how they balance speed with compliance when no one is physically present. We do not believe in hypothetical situations. So, we asked candidates about the real issues they have been involved in, like a device configuration that is incorrect or a case of access denial, and asked them to walk through their decision process and explain the the choices they made, the trade-offs involved and the actions they took afterwards. This rubric sharpened our signal quality because it revealed operational maturity. In remote-first engineering teams, reliability and judgment around systems and devices matter more than raw technical confidence, and this structure made that difference measurable.
I made a rubric to see how candidates deal with blocks when their teammates aren't around. It looks at their ability to work alone and their judgment in escalating. The three levels are: waiting without doing anything, switching to other chores, or writing down the blocker and coming up with inventive ways to get around it while keeping others in the loop. When we first hired people to work remotely, they had worked in offices where they could stroll over to someone's desk if they were stuck. That doesn't work when your staff is spread out over eight time zones. Without the rubric, interviewees had quite diverse ideas about what "I asked my teammate for help" meant. Now we want to know, "Tell us about a time when you were stuck and couldn't get in touch with the person who could help." Strong candidates talk on how they wrote down the problem, looked into possible solutions, or made progress on related tasks. This made hiring better because remote teams need people who can tell when to wait and when to go ahead.
Camping I used the hiring camping for hiring a engineering team. This scale assessed candidates according to three criteria. These were Asynchronous Clarity, Proactive Ownership and Digital Empathy. We used a well-characterized 1-5 behavioral scale. We've had an easier time hiring for this shift. It helped ward off interviewers who'd want to choose people who lived nearby. Instead, we judged for clear writing and self-management. Performance ratings of new hires were up 30 percent. And then we found the right people for a remote experience.
I have an Asynchronous Communication Rubric that I use. It gauges how well engineers commit their thoughts to paper. We're looking for simple and direct communications. This is great for teams that not using so many meeting. This demoted our signal quality. We stopped liking people who were good at talking on video. We began hiring based on how they truly work every day. This removed social bias. It helped us identify engineers that are truly productive while remote.
What resonates most with me is the requirement that every score be tied to a specific, observable behavior, not intuition. In academic and high-performance environments, vague assessments like "strong communicator" are meaningless unless they're backed by evidence. Requiring interviewers to cite concrete examples improved consistency across the hiring loop and reduced bias toward confident speakers. The signal quality improved because we evaluated candidates the same way we assess test performance: against clear criteria, not impressions.
Successful remote technical interview processes should align competencies to specific roles, assess one competency at a time, and use structured interview rubrics to create a shared vocabulary for interview write-ups. This approach aligns the hiring bar around concrete observations that interviewers can make on each competency, resulting in a better hiring signal and less bias.
One of the best tried-and-tested frameworks for remote engineering teams is the STAR rubric, which helps to provide a key structure for measuring competencies throughout a candidate's repertoire of soft skills. STAR refers to Situation, Task, Action, and Result monitoring and actively assists recruiters in measuring the communication and collaboration skills of candidates, their ability to find solutions to problems, their adaptability, and their general remote readiness. To ensure full fairness throughout the recruitment process, it's important to use the same core set of STAR questions to maintain a level of consistency in responses for later review. However, this doesn't mean that you can't ask follow-up questions for better clarity. Assessing a candidate's STAR credentials typically involves grading the quality of responses on a scale of one to three, where one signifies a possible red flag, and three indicates a high level of proficiency.
One rubric that worked well was a four-dimension behavioral scorecard that all interviewers employed which evaluated ownership, written & async comms, technical decisions and collaboration in a remote environment, each from 1-5 with a supporting comment submitted before the debrief. This improved the quality of the signal as it removed anecdotal impressions in favor of standardized measures, reduced recency effect/bias in favor of some due to special presence/charisma or simultaneous fluency/ease, and equalized the importance of remote-critical skills like documentation and follow through to that of technical subtleties, thereby allowing sustained decisions over time with better alignment of later interview ratings and on-the-job performance.
Our remote-first engineering teams utilized a structured behavioural interviewing rubric focused on ownership, async communication and decision quality, rather than the traditional "culture fit" concept. Each of these areas had clearly defined behavioural indicators that were different at each level. For example, what does strong ownership look like if no one is watching? How does a candidate document their decisions when stakeholders are in different time zones? Each interviewer used examples from past work to score the candidate against the rubric rather than using hypothetical scenarios. By removing ambiguity from the hiring process, this rubric has improved our ability to evaluate candidates objectively. Before using this rubric, many interviewers tended to evaluate candidates based on how confident they were or how familiar they were with certain tools. Now, discussions about a candidate's ability have been based on actual evidence of how that candidate dealt with ambiguity, how they resolved differences of opinion during an asynchronous interview process, and whether or not the candidate was able to complete assigned tasks without being directly supervised. When hiring developers for remote teams, it's important to focus on behaviours rather than on raw technical brilliance. When hiring a developer for a remote team, it is much easier to compare candidates using an objective rubric that has been structured to indicate how these candidates would be successful in a distributed working environment, thus being able to recruit them in an unbiased manner.
Among the best signals we are using is the assessment of the problem-solving skills of the candidates under unclear conditions, the writing skill of the communications, the ownership mentality, and the way the candidates work in the asynchronous setting - of course, each is weighted and scaled to provide scores based on anchors that are not based on personal opinions. For instance, in order to provide a score that is not arbitrary, the candidate would need to provide an example out of the interview or the homework assignment within the presence of the interviewers or on their own. This has improved the particular signal to some extent because it is more reflective of how the engineers work on a daily basis; the scores are immensely reduced.
I prioritize the "Async Handover" rubric in our interviews. Instead of just testing how well a developer writes code, I test how well they leave it behind for the next person. The biggest problem we face as a remote team is the time wasted in meetings explaining work that was already done. When you have engineers across different time zones, waiting 8 hours for an explanation kills momentum. To solve this, I assign a small coding task during the interview, but I tell them the code itself matters less than the "handover note." I ask them to write a summary as if they are signing off for the day and a colleague in a different time zone needs to pick up exactly where they left off. I look for specific details in their writing. Did they explain why they chose a certain library? Did they flag potential bugs? Did they outline the next logical step? If they just say "I finished the feature," they fail. At Crosslist, we build tools to help people list inventory faster, so efficiency is our DNA. I once hired a brilliant coder who refused to document his work, and we lost days of productivity every time he went on vacation. That experience changed how I hire. Great code is useless if nobody else understands how to maintain it.
I rely on the "Process Ownership" rubric to improve our hiring signal. This evaluates if a candidate focuses on the root cause of a problem or just the immediate symptom. The problem in remote SaaS teams is that small errors often repeat themselves because nobody fixes the underlying system. In the email deliverability space, a repeated error means our clients' emails go to spam, which destroys their business and ours. I solve this by asking the candidate to describe a significant mistake they made in a past role. I am not interested in the technical fix they applied. I listen for what they changed in their workflow to ensure it never happened again. Did they update the documentation? Did they add a new automated test? Did they alert the rest of the team? If they just say "I fixed the bug," that is not enough. We once had a deliverability drop because of a simple configuration error. The engineer who caught it didn't just revert the change; he wrote a script to validate the config file before every future deployment. That is the mindset I look for.
I use a "Frugal Architect" rubric to assess resourcefulness. I want to see if an engineer can solve a problem without immediately reaching for the most expensive or complex tool available. The problem is that many engineers over-engineer solutions. They want to use the latest, trendy technology they read about on a blog, even if a simple script would do the job. In the IT resale business, we survive on margins. We cannot afford to waste resources on fancy tech that does not add profit. To test this, I give them a scaling problem and add a constraint: "You have zero budget for new tools." I want to see how they use what is already there. Do they optimize the database query? Do they clean up the code? Or do they just complain that they need more servers? We deal with refurbished equipment every day. We know that just because something is not brand new does not mean it is useless. I want engineers who think the same way about code. Creativity is knowing how to do more with less.
We standardized the behavioral part through a "conflict matrix" and a "feedback matrix." The candidate describes the following situations: a conflict regarding deadlines and a conflict regarding quality. We then evaluate them based on the following criteria: - what they did as a first step, - how they reduced tension, - how they documented the solution, - what they changed in the process afterward. This improved signal quality, because in remote-first teams, conflicts are not immediately obvious. More often than not, they quietly accumulate in chats and side conversations, and then suddenly explode at a meeting. We started consistently testing the candidate's ability to calmly resolve disputes within the team and, most importantly, to leave behind a clear solution. This allowed my team and me to better predict who would strengthen the team and who would only "fuel" the chaos.
It was a behavior first scorecard tied to real work situations. Each interviewer asked the same core questions around ownership, problem handling, communication and failure. Candidates had to explain what actually happened, what decision they took and why. We scored answers on clear criteria instead of personal feeling. Earlier, interviews depended too much on confidence and storytelling. Different interviewers picked different signals, so feedback was inconsistent. This rubric fixed that. It changed signal quality because we compared candidates on actions, not personality. Remote interviews became fair, focused and easier to evaluate. Decisions felt clearer and hiring mistakes reduced.
One structured behavioral interview rubric that I use for remote-first engineering teams "No Surprises Delivery" rubric. Based on my experience, what happens in a distributed environment is that it's not the lack of people that leads to failure instead, it's that the risks come to the surface too late. This assessment criteria rates the candidate for the approach he/she takes to spot delivery-related risks and renegotiate the scope when the timelines are slipping. Instead of the question about accountability, it asks the candidate to tell about a project which might have derailed. I am interested in whether they picked up on the signals of a project going off track and whether they had offered solutions in terms of extending timelines or scaling back the scope of work. This helped us make better hiring choices as a team since it emphasizes reliability as opposed to being confident and qualified. My personal opinion is that the strongest remote engineers are able to anticipate and articulate well. It helped us experience fewer surprises and better collaboration as a team.
One of the rubrics that had a significant positive effect on low-visibility decision ownership was that of decision ownership. Interviewers rated the same behavior of the candidates using one prompt. Give an example of a situation where you delivered a technical decision without a real time feedback and realized that it had an error once it was deployed. Discuss the way you determined it, reported it, and took action. They were scored on four dimensions only. Clarity of problem framing. Evidence used before acting. Written / asynchronous quality of communication. Responsibility following an impact was not new. There were no additional characteristics tested during that round. Signal quality at ERI Grants was better since the rubric corresponded with the reality of remote engineering work. Majority of failures in distributed teams are due to silent misalignment, rather than incompetence. This design eliminated stylistic bias and had less overlap amongst interviewers. All individuals targeted the same evidence and scored themselves using concrete anchors. Successful candidates were able to explain tradeoffs, demonstrate receipts such as metrics or timelines and explain unpleasant follow up talks without defensiveness. The ones that had a difficult time depended on ambiguous collaboration terms or responsibility avoidance. The results of hiring became more predictable since the rubric was used to test the operation of engineers in the case of Slack being quiet and judgment being the real factor.