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Innovative Approaches to Interview as a Service

Visual representation of Interview as a Service transforming recruitment dynamics
Visual representation of Interview as a Service transforming recruitment dynamics

Intro

In today's fast-paced job market, the traditional recruitment process seems a bit clunky, almost like a relic from the past. Job seekers often find themselves navigating a labyrinth of applications and interviews, while employers struggle to sift through an avalanche of resumes to find the right fit. Here enters Interview as a Service, or IaaS, which is shaking things up significantly. This model streamlines the recruitment process, allowing businesses to outsource interviewing tasks and harness cutting-edge technology that brings efficiency to the forefront.

The significance of IaaS cannot be understated as companies rapidly adapt to a digital-first approach in hiring. With the rise of automation, artificial intelligence, and data analytics, the recruitment landscape is undergoing a transformation. Not only does this service enhance operational efficiency, but it also boosts the candidate experience, allowing job seekers to engage in a more modern and structured interview process.

In this article, we will embark on a deep dive into IaaS, exploring its core principles, the technology driving it, and how it affects both the job market and businesses alike. We'll peek into case studies, analyze market trends, and unpack the challenges that accompany these innovations. Each section will provide insights for employers navigating this new terrain and offer job seekers a clearer view of what they can expect. In the ever-evolving focus of tech, IaaS is a topic that demands attention for all stakeholders involved.

Thus, let’s set the wheels in motion and explore how this innovative concept is more than just a buzzword—it's a pivotal shift in recruitment.

Understanding Interview as a Service

The concept of Interview as a Service (IaaS) represents a paradigm shift in how organizations approach recruitment. In an age where talent acquisition is pivotal, grasping the intricacies of IaaS becomes essential for ensuring a competitive edge. The traditional methods of interviewing often contained inefficiencies and biases that could hinder a company's ability to identify the best candidates. With IaaS, companies can leverage technology to streamline the process, promoting both efficiency and effectiveness in hiring.

Definition and Concept

At its core, Interview as a Service is about outsourcing the interview process to specialized platforms that utilize technology to facilitate and enhance candidate selection. This service can cover everything from scheduling interviews to conducting video assessments through AI-driven tools. Companies are progressively realizing that these platforms not only save time but also bring uniformity to the interview process. By enabling a standardized approach, organizations can focus more on candidate fit rather than administrative burdens.

Furthermore, the idea of having interviews as a service aligns with trends of flexibility and adaptability in the workplace. Remote work, for instance, has made it crucial for companies to rethink their interviewing strategies to cater to a wider talent pool that may not be constrained by geographical boundaries. IaaS platforms provide solutions tailored to this modern workforce, making it easier for companies and job seekers alike.

Historical Context

The evolution of recruitment has seen drastic changes over the decades. Traditionally, hiring processes relied heavily on in-person interviews, which often favored candidates who could easily navigate in-person dynamics. However, with the advent of the Internet and digital communication tools, the landscape began to shift.

In the late 1990s and early 2000s, we saw the rise of job boards and online resume submissions. Fast forward to the 2010s; digital transformation took a leap forward with the introduction of applicant tracking systems and recruitment software that simplified candidates’ databases and management. This laid the groundwork for IaaS, as the industry recognized the unmet need for a more streamlined, tech-enabled method to conduct interviews efficiently.

The onset of the COVID-19 pandemic has undoubtedly accelerated this trend. Companies were forced to adapt to remote interviewing, leading to the emergence of numerous IaaS platforms. The history of IaaS is not simply one of technological change; it also reflects a cultural shift towards more inclusive and accessible hiring practices. Now, organizations are better equipped to explore diverse talent pools unconstrained by geography or traditional biases.

Comparative Analysis with Traditional Recruitment

When juxtaposing Interview as a Service with traditional recruitment methods, it's apparent that IaaS paradigms can significantly enhance the hiring process. Traditional recruitment often involved manually scheduling interviews, unifying candidate experiences, and assessing talent through less standardized methods. This led to inconsistent candidate experiences and, at times, costly delays in hiring.

On the other hand, IaaS leverages technologies such as automation, artificial intelligence, and video interviewing to refine and speed up the recruitment process. Here are key comparative points:

  • Efficiency: IaaS reduces the time spent on administrative tasks, allowing HR teams to focus on strategic decision-making.
  • Standardization: By employing guided frameworks or AI, candidates are assessed consistently, which minimizes bias and subjectivity.
  • Flexibility: IaaS platforms accommodate various interview formats, including asynchronous video assessments, enabling candidates to respond at their convenience.

Technological Advancements in IaaS

The landscape of recruitment has undergone a radical shift with the introduction of Interview as a Service (IaaS). This transformation is largely driven by technological advancements that not only enhance efficiency but also redefine traditional hiring paradigms. Employers are turning to solutions that leverage current technologies to manage the interview process, thereby streamlining operations and ensuring better matches between candidates and job roles. This section dives into the specifics of these advancements, highlighting the intricate interplay of artificial intelligence, data analytics, and integration with existing systems.

Artificial Intelligence in Interview Management

Artificial Intelligence is revolutionizing interview management in numerous ways. From automating the scheduling of interviews to providing intelligent prompts, AI is acting as an ever-reliable assistant. With machine learning algorithms, systems can analyze past interview data, providing insights into what makes a successful candidate for a particular role. This means hiring managers no longer need to rely solely on intuition or outdated techniques. Instead, they can harness the power of data-driven insights to guide their decision-making.

For instance, chatbots can conduct preliminary interviews, handling standard questions and thus filtering out candidates who do not meet minimum qualifications. This not only saves time but also reduces the cognitive load on human interviewers, allowing them to focus on more nuanced discussions with promising candidates. Moreover, AI can analyze candidate responses in real-time, offering feedback on body language, voice tone, and engagement levels, which is something that’s hard to quantify through traditional interviews.

Data Analytics for Candidate Assessment

Data analytics is a game-changer in evaluating candidates. By utilizing various metrics, organizations are effectively able to assess not just candidates' skills but also their potential cultural fit within the organization. Through detailed analytics, employers can sift through vast amounts of data collected during interviews and application processes, identifying patterns that indicate successful placements.

Some key areas where data analytics makes a difference inclue:

  • Performance Metrics: Tracking the performance of hired candidates against the metrics gathered during the interview process.
  • Constructing Predictive Models: Using historical data to create models that predict candidate success based on various attributes such as experience, qualifications, and even psychometric profiles.
  • Identifying Talent Gaps: Employers can assess what skills are currently lacking within their teams and seek candidates who fit those gaps.

These capabilities provide a comprehensive data-driven approach, making it easier than ever to secure talent that aligns closely with an organization’s immediate and future needs.

Integration with Applicant Tracking Systems

Illustration showcasing AI technology in recruitment interviews
Illustration showcasing AI technology in recruitment interviews

Seamless integration between IaaS platforms and Applicant Tracking Systems (ATS) is essential for a smooth recruitment process. With various ATS available in the market, the necessity for them to work harmoniously with IaaS solutions cannot be overstated. Such integration ensures that all candidate data is accurately tracked, stored, and easily accessible, allowing for a more fluid hiring process.

An effective integration typically offers:

  • Centralized Data Management: All candidate information is aggregated in one place, allowing for easier collaboration among hiring managers.
  • Automated Workflows: Reduces manual entry and the potential for errors, ensuring that every candidate's journey is tracked automatically.
  • Reporting Tools: Generate reports that can analyze efficiency, source effectiveness, and candidate conversion rates, providing insight for continuous improvement.

Benefits of IaaS for Employers

Interview as a Service (IaaS) offers a wealth of advantages for organizations aiming to refine their hiring processes. In today’s competitive landscape, where talent is often at a premium, it becomes paramount for companies to adopt methods that enhance efficiency and streamline their recruitment efforts. IaaS plays a critical role by employing digital tools and innovative techniques, which not only simplify but also rejuvenate the conventional hiring framework.

Cost Efficiency and Resource Allocation

One of the standout benefits of IaaS is its cost efficiency. In the traditional recruiting model, companies allocate significant resources to interviews—both in time and monetary terms. This often includes the costs of conducting interviews on-site, extensive manpower, and potentially lost productivity during lengthy evaluation periods. By utilizing IaaS, organizations can significantly reduce these overheads.

Cost savings manifest in various forms:

  • Less need for physical space: With online interviews, there's no need to allocate conference rooms or meeting spaces.
  • Reduced travel expenses: IaaS enables hiring remotely, saving on travel budgets for both candidates and interviewers.
  • Dynamic scaling: Organizations can adjust their interview processes according to immediate hiring needs without the worry of fixed costs associated with traditional methods.

By reallocating resources that were once tied up in the recruitment process, companies can focus more on core business functions instead of managing cumbersome interview logistics. This newfound efficiency allows businesses to invest in talent development and retention strategies, ultimately leading to a more robust workforce.

Scalability of Recruitment Processes

Scalability is another boon offered by IaaS. In periods of rapid growth or during the seasonal hiring peaks prevalent in many industries, companies traditionally struggle to keep pace with increasing applicant volumes. The flexibility inherent in IaaS allows employers to ramp up their hiring efforts as circumstances dictate without sacrificing quality.

  • Adaptable frameworks: IaaS platforms generally allow organizations to tailor their interviewing processes to meet fluctuating recruitment demands.
  • Access to a global talent pool: With remote interviewing capabilities, employers can easily reach candidates across various regions and time zones, effectively broadening their search.
  • Streamlined workflows: The automation and efficiency with which candidates can be assessed and hired means organizations can fill positions faster, thus reducing time-to-hire metrics substantially.

This means companies can weather hiring surges or downturns more effectively, ensuring they always have the right personnel at the right moment.

Enhanced Candidate Experience

The interface between IaaS and candidate experience cannot be overlooked. Today’s job seekers often prioritize their experience during the hiring process, and IaaS can significantly enhance how candidates perceive potential employers.

  • Convenience: The ability to conduct interviews remotely means candidates can participate from virtually anywhere, reducing barriers like geographic location and transportation issues. This flexibility directly caters to modern expectations for convenience in the hiring process.
  • Faster feedback cycles: Through data analytics integrated within IaaS applications, candidates may receive prompt updates on their application status. This transparency fosters trust and engagement.
  • Tailored assessments: IaaS solutions often include customizable interview formats that allow companies to align their assessment methods with the specific requirements of the job role, giving candidates a clearer idea of what to expect.

By prioritizing the candidate experience, employers not only attract top talent but also establish a positive brand image within their industries. An efficient and considerate hiring process leaves a lasting impression in today’s competitive job market.

In summary, the benefits of IaaS for employers are multi-faceted. Cost efficiency, improved scalability, and enhanced candidate experiences contribute to a more effective recruitment strategy. As companies navigate the complexities of attracting talent, embracing IaaS could be the key to not just surviving but thriving in the evolving employment landscape.

IaaS from the Candidate's Perspective

Understanding Interview as a Service (IaaS) through the lens of candidates offers a unique insight into how digital innovations are reshaping the job search landscape. With traditional recruitment processes often laden with inefficiencies, IaaS emerges as a beacon of possibility. It creates a more streamlined and user-friendly experience for those seeking employment while maintaining fairness and transparency throughout the process.

Accessibility and Convenience

One of the most significant advantages of IaaS is the accessibility it provides to candidates. Gone are the days when applicants were tethered to rigid schedules and geographic constraints. With IaaS, interviews can be conducted virtually, allowing candidates to participate from anywhere with an internet connection. This flexibility is particularly crucial for individuals who may be juggling multiple commitments or those who live in remote areas.

The convenience factor doesn’t merely revolve around location. Candidates now enjoy the luxury of scheduling interviews at times that align with their personal availability. This availability represents a departure from conventional scenarios, which often dictated a one-size-fits-all model. Applicants no longer have to take time off work or scramble for childcare just to attend a recruitment session. The digital approach to interviews reduces the overall stress associated with the job-seeking process and fosters a more positive candidate experience.

Feedback and Continuous Improvement

In today’s fast-paced world, candidates are often left in the dark after interviews, unsure of their performance. However, the integration of IaaS often ushers in systematic feedback mechanisms that can greatly enhance a candidate's future prospects.

IaaS platforms frequently include built-in analytics and assessment tools that can automatically provide tailored feedback. Consider a candidate who navigated through an AI-driven interview. The insights derived from their responses could be compiled into a comprehensive summary, highlighting areas of strength and offering constructive criticism on aspects for improvement. This kind of feedback loop is essential for continuous development, empowering individuals to refine their skills and approach before their next role.

“Feedback is the breakfast of champions.” - Ken Blanchard

Such mechanisms not only cultivate a growth mindset among candidates but also ensure they are better prepared for similar opportunities in the future.

Graph depicting market trends in Interview as a Service industry
Graph depicting market trends in Interview as a Service industry

Anonymity and Fairness in Assessment

Another cornerstone of IaaS lies in its potential to maintain anonymity and fairness during the hiring process. Traditional interviews often bring about biases, whether conscious or not, influenced by factors unrelated to the candidate's skill set. With IaaS, particularly those leveraging AI-driven assessments, there’s a significant opportunity to mitigate this bias.

Candidates may have their identities anonymized during initial assessment rounds, which can lead to more objective evaluations based purely on their responses. This means that skills, experience, and cultural fit take precedence over potentially biasing factors such as age, gender, or educational background. In this regard, IaaS champions fairness, ensuring that all candidates are evaluated on equal footing.

As organizations increasingly recognize the importance of diversity and inclusion, IaaS serves as a pivotal tool in their arsenals, fostering not only an equitable hiring landscape but also a rich tapestry of perspectives within the workplace.

Market Trends in Interview as a Service

The landscape of recruitment is shifting rapidly, and Interview as a Service (IaaS) sits comfortably at the heart of these innovations. Understanding the market trends in IaaS is crucial for those engaged in hiring practices, whether they are employers or job seekers. With the rise of technology and the demand for more efficient recruiting processes, IaaS is becoming more prevalent. Let's dive deeper into the specific elements shaping this market.

Emerging Providers and Solutions

A new wave of players is entering the IaaS market, eager to reshape the hiring process. Companies like HireVue and Codility are stepping in, offering diverse solutions that cater to various industries. These providers focus on enhancing candidate engagement through interactive platforms, enabling potential hires to showcase their talent in novel ways. Many of these solutions incorporate machine learning algorithms for analyzing resumes and predicting candidate success. As the IaaS space expands, we’re seeing:

  • Niche-focused specialties: Platforms targeting specific sectors, such as technology or healthcare, to better align with industry needs.
  • Modular services: Options for companies to pick and choose services that fit their budget or hiring goals, instead of a one-size-fits-all package.
  • Integration capabilities: Providers enhance their offerings by partnering with Applicant Tracking Systems (ATS) and Human Resource Management Systems (HRMS), making implementation smoother for businesses.

These emerging solutions are crucial; they allow companies to narrow their search efficiently while simultaneously improving the candidate journey.

Case Studies of Successful Implementations

When discussing trends, it's essential to look at real-world applications. For instance, in the tech industry, a certain startup called TechHire adopted IaaS to handle its scaling challenges. With a surge in applications for a niche role, they turned to a service like HireVue.

Using video interviews and AI-driven assessments, TechHire managed to reduce the time spent on initial screenings by 60%, allowing their HR team to focus on high-potential candidates. Their success story demonstrates:

  • The importance of agility in recruitment processes.
  • Effective candidate evaluations across geographic boundaries, enabling them to tap into global talent.

This case illustrates how IaaS not only saves time but also significantly enhances the hiring quality when implemented correctly.

Future Projections and Industry Shifts

Looking ahead, the future of IaaS is anything but static. With trends adapting to societal changes—like remote work and evolving candidate expectations—the recruitment landscape is set to transform.

  • Increased automation: Expect to see further automation of preliminary screening processes, allowing recruiters to spend more time on strategic hiring initiatives rather than administrative tasks.
  • Virtual reality integration: As immersive tech continues to make waves, organizations might begin to explore virtual environments for interviews, providing a more engaging experience.
  • Data-driven decisions: Companies will likely harness advanced data analytics to assess candidate performance over time, leading to continuously refined hiring processes.

While the possibilities are vast, remaining flexible and open to change will determine how successfully organizations can harness IaaS moving forward.

"The evolution of Interview as a Service stands as a testament to a broader shift in how industries view recruitment—now more than ever, agility and relevance are paramount in securing top talent."

As we move through this fast-paced landscape, staying in tune with these market trends will help companies, recruiters, and candidates alike navigate their journeys effectively.

Challenges and Limitations of IaaS

In the swiftly evolving landscape of recruitment, Interview as a Service (IaaS) poses both solution-driven innovation and distinct hurdles. Organizations considering this model must engage in a thorough examination of these challenges and limitations. Each aspect carries weighty implications for efficiency, candidate experience, and the overall effectiveness of hiring practices. Understanding these concerns is critical for fostering a balanced, thoughtful approach to implementing IaaS—one that recognizes potential pitfalls while striving for a more effective recruitment process.

Technological Limitations and Reliability Issues

While embracing technology is often hailed as the hallmark of IaaS, there are significant concerns regarding technical limitations and reliability. Systems relying on digital infrastructure can face downtime, latency, or even complete failure during critical moments. This becomes particularly troubling if a candidate's assessment hinges on a flawless technical experience. In other words, even the best platforms aren’t immune to the occasional hiccup.

"In a world where everything seems automated, the first sign of tech-centric failure reveals just how fragile those much-lauded systems can be."

Moreover, many organizations underestimate the importance of rigorous testing and real-time support. Employers must weigh the trade-off between initial convenience and the reliability of the interview system in moments of high pressure. A few raised eyebrows may be the result of choppy connections or visible lag. Combining human judgment with advanced technology needs to be carefully managed to minimize risk.

Maintaining Human Element in Hiring

Another pressing issue involves preserving the human touch in an increasingly automated hiring landscape. A machine can slice and dice data with remarkable precision, but it lacks the ability to grasp the subtle nuances of human emotion and interaction. Employers who rely too heavily on IaaS may inadvertently lose the warmth that personal connections bring to interviews. Candidates often seek affirmation and engagement, characteristics that mere algorithms struggle to replicate fully.

Case study analysis of successful IaaS implementations
Case study analysis of successful IaaS implementations

Recruitment without interpersonal dynamics runs the risk of becoming transactional. This can lead to disconnects, with talented individuals slipping through the cracks because their personality didn’t shine in a faceless digital environment. Keeping an eye on cultural fit and team compatibility remains essential; thus, striking a balance between tech and human insight is paramount.

Legal and Ethical Considerations

As with any transformative approach, IaaS comes tangled up with legal and ethical questions. One pressing concern revolves around data privacy. When applicants engage with interview platforms, they often unknowingly share sensitive information. Organizations must ensure compliance with regulations like GDPR, ensuring that data handling remains within legal boundaries.

Besides legality, ethics in recruitment practices also warrant discussion. Are we creating biases through automated assessment techniques? Algorithmic bias could inadvertently skew candidate evaluation, favoring certain demographics while sidelining others. This could further entrench systemic imbalances in hiring, leading to a lack of diverse representation.

In summary, addressing these multifaceted challenges requires a concerted effort. Businesses should prioritize the integration of human insight, reliable technology, and robust legal frameworks. Effective implementation hinges not solely on leveraging IaaS but also on recognizing where its limitations may subtly emerge and devising appropriate countermeasures.

Best Practices for Implementing IaaS

The landscape of recruitment is shifting, and Interview as a Service (IaaS) stands at the forefront of this transition. Implementing IaaS effectively can be a game-changer for organizations, providing them with the tools necessary to respond to an increasingly dynamic workforce. To fully harness the benefits of IaaS, it’s crucial to adopt best practices that consider various elements of integration and strategy.

Identifying Suitable Roles and Industries

When it comes to utilizing IaaS, not all roles are created equal. Some positions benefit significantly from this model, while others may not provide the same return. Understanding which roles to target is paramount. From experience, roles that require a baseline of technical skills or those in fast-paced industries—like tech startups or digital marketing—tend to see remarkable improvements in hiring efficiency with IaaS solutions.

Consider job functions in which candidates face rapid changes in requirements or where cultural fit is vital, making standardized interviews less effective. Service sectors that heavily rely on soft skills could also find distinct advantages from video interviews that showcase personality traits interactively. Identifying these roles could lead to faster placements and a happier workforce.

Integrating IaaS with Existing Systems

Integration is often where the rubber hits the road. It’s one thing to adopt new tools, but another to make them work seamlessly with what's already in place. Companies must ensure that their IaaS tools integrate smoothly with existing applicant tracking systems (ATS) and related software. This integration enhances the overall hiring experience by facilitating smooth data flow and improving efficiency.

For example, if a company uses BambooHR for their human resources, adding IaaS solutions that synchronize effectively can mean less manual work and fewer errors. A proactive approach includes mapping out the current recruitment workflow, identifying chokepoints, and selecting IaaS solutions that can ease those burdens while complementing existing technologies.

Ensuring Data Security and Compliance

In any tech-driven domain, especially one that deals with personal information like recruitment, data security and compliance can't be overlooked. Implementing IaaS involves handling sensitive candidate information, and regulations like GDPR add layers of responsibility. Companies must ensure that their IaaS providers are fully compliant with applicable data protection laws. Look for vendors that employ end-to-end encryption and offer clear data usage policies.

Furthermore, regular audits and reviews of security practices should be part of your action plan. This not only safeguards candidate data but also builds trust within the talent pool. Ensuring that legal bases are covered not only shields the organization from penalties but also aligns with ethical hiring practices.

"A well-crafted implementation strategy can ensure that IaaS serves as a catalyst for enhanced recruitment processes, rather than a convoluted addition.”

By following these best practices—identifying suitable roles and industries, integrating IaaS effectively with existing systems, and ensuring strong data security and compliance—organizations can position themselves to not only adapt but thrive in the modern recruitment landscape.

The Future of Recruitment

The landscape of recruitment is evolving at a breakneck pace, largely due to the rise of Interview as a Service (IaaS). As companies pivot towards innovative hiring practices, understanding the future of recruitment becomes paramount. This section examines how IaaS addresses current challenges and shapes upcoming trends in recruitment.

IaaS's Role in Workforce Transformation

IaaS is not just a passing fad; it signifies a fundamental transformation in how organizations view talent acquisition. At its core, IaaS leverages digital tools and platforms to streamline the interview process. By implementing IaaS solutions, companies can easily adapt to fluctuating workforce demands. This adaptability is vital as talent shortages and market changes force organizations to rethink their hiring practices.

Consider how companies can instantly tap into global talent pools. They can conduct virtual interviews with candidates from halfway across the world, thus broadening their scope while cutting down geographical barriers. Moreover, many IaaS platforms incorporate advanced analytics to predict culture fits and performance, which is crucial for long-term success. This intelligence helps organizations make informed decisions, enhancing retention rates and overall job fulfillment for candidates.

Anticipated Technological Innovations

In the coming years, we can expect several technological advancements to enhance IaaS offerings. One significant trend is the rise of AI-driven video interviews. These systems can assess not only verbal responses but also non-verbal cues, offering employers deeper insights into candidate suitability.

Another notable innovation is the integration of augmented reality (AR) into recruitment processes. Imagine a scenario where candidates can virtually step into their potential workplace, interacting with team members and experiencing company culture firsthand before they even set foot in the office.

Additionally, the implementation of machine learning algorithms will continue to refine candidate screening. Over time, these systems will adapt based on historical data, learning which attributes correlate with successful hiring outcomes. The data-driven approach to interviewing is critical as businesses strive for high efficiency and reduced biases.

Long-term Implications for Employment Practices

The shift towards IaaS will undoubtedly have lasting impacts on employment practices. One significant implication is the evolution of the candidate experience. As more processes move online, job seekers expect seamless, quick interactions. Companies that don’t adapt risk losing top talent to those that prioritize user-friendly recruiting experiences.

Moreover, the human touch in hiring may shift. Virtual interactions cannot replicate every aspect of in-person interviews. Thus, organizations will need to find a balance between technology and personal engagement to maintain candidate trust and connection.

Lastly, with rich data flows from IaaS platforms, companies will be better equipped to shape their employer brand. Candidates increasingly analyze company reputations, and organizations that utilize this data effectively can project themselves as desirable employers in competitive job markets.

In essence, the future of recruitment powered by IaaS will require thoughtful strategizing and implementation of technologies to navigate new challenges while harnessing the benefits of an evolving workplace.

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