harrylucas
How a bottom-up GTM strategy is impacting security teams
The Risks of Unmanaged SaaS Shadow IT
The impact blanket blocking SSO has on employees morale
Definitely not against advertising the product but make it more explicit
There's More Than Code
Ask HN: How do you increase the performance / impact of an engineering team?
I'm an engineering manager at a growing startup and looking for advice on how other EM's increase the performance (measured in whatever way you measure it e.g. impact on company metrics, features shipped etc.)?One of the common answers to this is 'depends on the issues you're currently facing', which is 100% the right approach, however I'd love to hear advice on how you identify these issue...
Metomic helps companies discover and control their sensitive data footprint across their cloud applications. We're an engineering first, data driven company looking to change the way companies manage and protect their sensitive data.
We're looking for a range of front and backend engineers to help us scale out the platform. We're looking for individuals who are pragmatic, value good communication, respect and innovation.
Frontend: https://app.otta.com/jobs/RElTazIx Backend: https://app.otta.com/jobs/cFBzNWFy
You can also reachout to michelle <at> our website domain for any questions
Ask HN: How have you implemented audit trails for enterprise software?
We're building software for enterprise customers and usually as a requirement they want some sort of audit trails.Been doing a lot of reading into best practices (e.g. Enterprise Ready audit-log) [1] but love to hear everyone else's thoughts on how they've implemented audit logging in there software (e.g. strategies / gotchas, performance bottlenecks, rollbacks etc.)[1]...
Hey !
We are hiring both Backend/Fullstack and front end engineers at metomic (metomic.io).
At Metomic we're out to change the world data privacy and compliance by giving companies the power of data without the risk.
We are in early stages but have some great traction and a very exciting couple of months ahead of us here.
Tech we use:
* Frontend: React / Typescript * Backend: Typescript Node (most likely will change), Docker, Neo4j, Postgres, RabbitMQ, ECS + Terraform.
If it also matters - we are much more towards the FP side of the scale when it comes it FP vs OOP.
Checkout our jobs here if you are interested:
*Backend/Fullstack*: https://app.otta.com/jobs/cHFyZ09p *Frontend*: https://app.otta.com/jobs/WE5VNkdi
This has various benefits but the biggest one being you get to play with the design of the 'microservices' before actually committing to making them microservices allowing you to make better informed decisions. The harder part is that it does require stronger discipline and if not done correctly, a harder transition to microservices (e.g. pulling out the components)
How to properly collect and analyze user feedback
Firstly though, you need to have an idea (doesn't have to be perfect or 100% right) of who your target segment is. These are the people whose problem you are solving - and therefore initially are going to hold more weight with their feedback.
Once you have identified these users - use a combination of current users and potential users to get feedback from.
Some ideas:
* Email (like you've been trying) - Try and be candid and frank. Put yourself in their shoes - why should they respond? If it's a generic email their probably going to be of the mindset of either 'Someone else will do it' or 'I can't be bothered'. If you make it unique and more personal you're going to have a higher reply rate - but obviously a higher time commitment. I'd also suggest pushing for feedback calls rather then just messages. A call with a target user is worth its weight in gold.
As other users have suggested - offering a giftcard in exchange for a feedback call is also another valuable route if you can afford it.
* LinkedIn: Depending on your business (B2B or B2C) you can follow up with these users and potential new users on LinkedIn. Again this comes back to being somewhat more personal. Explain who you are etc.
* In app messaging: If they are constantly using your app - ask them while they are there in the midst of it. Don't be spammy though (this is approach we take mainly with delighted).
Lastly, once you have gotten your feedback - don't just take it at facevalue. Try and really understand what problem they are trying to solve as the solution might be completely different then the one they were thinking of.
E.g. if you were building an analytics app and someone gave feedback that they want to be able to export the data. If you take that at facevalue you will most likely build a tool that exports their data. However if you dig deeper and try and understand why they want to export the data, you might be able to solve a bigger issue for them AND for more users. E.g. if they come back and say they want to do XYZ with the data beacuse that means they can then gain ABC insight from the data - you might be able to add the ABC insight into the dashboard instead, skipping the need for export and customer work.
If you want more of a hand feel free to reach out! I'd be happy to help you out!
[1]: This is actually a problem we are trying to solve with Delighted so I feel your pain - https://getdelighted.co
However there are tradeoffs with everything you use.
It really comes down to which tradeoffs are the right ones for you, which may not be the same for someone else.